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ViPR SWG Meeting 17NOV2015

ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

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Page 1: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

ViPR SWG Meeting

17NOV2015

Page 2: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

Introduction and Usage

Page 3: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

J. Craig Venter Institute –  Brian Aevermann –  Suman Das –  Doug Greer –  Alex Lee –  Brian Reardon –  Reed Shabman –  Lucy Stewart –  Tim Stockwell –  Yun Zhang

Vecna –  Chris Larsen –  Guangyu Sun

Northrop Grumman –  Ed Klem –  Mary Shaffran –  Zhiping Gu –  Sherry He –  Sanjeev Kumar –  Xiaomei Li –  Lei Tong –  Bryan Walters –  Verle Wright –  Sam Zaremba –  Hongtao Zhao

ViPR Development Team

Page 4: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

Co-investigators –  Nicole Baumgarth (UC Davis) –  David Knipe (Harvard) –  Richard Kuhn (Purdue) –  Catherine Macken (U Aukland) –  Slobadan Paessler (UTMB) –  Daniel Perez (UGA)

NIAID –  Alison Yao

Scientific Working Group –  Gillian Air (OUHSC) –  Ralph Baric (UNC) –  Ruben Donis (CDC) –  Naomi Forrester (UTMB) –  Adolf Garcia-Sastre (Mt. Sinai) –  Elodie Ghedin (NYU) –  Elliot Lefkowitz (UAB) –  Phil Pellet (Wayne State) –  David Topham (URMC) –  Richard Webby (St. Jude)

ViPR Advisors

Page 5: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

Introduction (10 min) ViPR usage report (15 min; Richard Scheuermann)

–  Website usage - Google Analytics –  Workbench accounts –  Literature citations

Recent enhancements (5 min; Alex Lee) –  Rotavirus genotyping –  Coronavirus ortholog grouping –  CIPRES interface –  Ebola portal and D68 sequence searches –  GO enrichment –  AWS cloud migration

SWG experience with pre-meeting exercises (35 min; Richard Scheuermann) –  Round-robin for each of the SWG members –  Comments from VBRC co-investigators

ViPR SWG Agenda

Page 6: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

New project - virus orthology and naming consistency as applied to HSV (20 min; Doug Greer) –  Observations about nomenclature inconsistencies –  Use of ortholog groups –  Taxonomic span of ortholog groups –  What can we do with this information?

New project – support for antiviral drug research (20 min; Brian Reardon) –  Host factor component in general

–  New project with a focus on antiviral drug research

Planned enhancements (10 min; Brian Aevermann) –  New projects that we just discussed –  Metadata harmonization –  User-provided metadata –  Beauti and the BEAST –  Cytoscape-web

–  Reference proteome for IEDB –  VIGOR implementation

Planned outreach activities (5 min; Yun Zhang) –  Scientific conferences –  Outreach workshop site visits

ViPR SWG Agenda

Page 7: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

Usage

Page 8: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

Importance of usage statistics – Quantifies value of resource – Helps identify issues and opportunities

Usage metrics – Web site traffic – Workbench accounts – Scientific literature citations

Introduction

Page 9: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

www.viprbrc.org

Page 10: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

ViPR Website Sessions Go  to  this  report

Nov  4,  2012 -­ Nov  7,  2015Audience  Overview

Language Sessions %  Sessions

1. en-­us 87,021 67.34%

2. en-­gb 5,871 4.54%

3. zh-­cn 4,129 3.20%

4. es 3,088 2.39%

5. fr 2,984 2.31%

6. pt-­br 2,417 1.87%

7. de 1,968 1.52%

8. es-­es 1,736 1.34%

9. en 1,299 1.01%

10. zh-­tw 1,299 1.01%

Overview

 Sessions

January  2013 July  2013 January  2014 July  2014 January  2015 July  2015

1,0001,0001,000

2,0002,0002,000

Sessions

129,227Users

75,605Pageviews

750,286

Pages  /  Session

5.81Avg.  Session  Duration

00:05:45Bounce  Rate

52.60%

%  New  Sessions

58.18%

New  Visitor Returning  Visitor

41.7%

58.3%

©  2015  Google

All  Sessions100.00% 2015 – 1226 sessions/wk

2014 – 772 sessions/wk 58% increase

Page 11: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

Workbench Accounts

0

50

100

150

200

250

2008

2009

2010

2011

2012

2013

2014

2015

Page 12: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

Scientific Literature Citations

0

10

20

30

40

50

60

70

80

90

2007 2008 2009 2010 2011 2012 2013 2014 2015

Resource Citations Per Year

IRD (369 total) ViPR (122 total)

Page 13: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

Page Pageviews Avg. Time on Page (sec) /brc/home.spg?decorator=filo_ebola 4975 99.08 /brc/home.spg?decorator=flavi_dengue 3681 74.79 /brc/home.spg?decorator=flavi 3487 47.27 /brc/home.spg?decorator=filo 2834 54.89 /brc/home.spg?decorator=herpes 2733 54.24 /brc/home.spg?decorator=paramyxo 2589 58.34 /brc/home.spg?decorator=corona 2422 55.31 /brc/home.spg?decorator=picorna 2072 54.29 /brc/home.spg?decorator=flavi_hcv 1905 69.55 /brc/home.spg?decorator=pox 1897 54.55 /brc/home.spg?decorator=bunya 1460 49.96 /brc/home.spg?decorator=toga 1441 45.03 /brc/home.spg?decorator=calici 1321 47.76 /brc/home.spg?decorator=rhabdo 1253 56.60 /brc/home.spg?decorator=reo 1117 48.60 /brc/home.spg?decorator=arena 1071 40.79 /brc/home.spg?decorator=hepe 928 33.88

Virus Family Popularity

Previous year

Page 14: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

Page Pageviews Avg. Time on Page (sec) /brc/home.spg?decorator=filo_ebola 4975 99.08 /brc/home.spg?decorator=flavi_dengue 3681 74.79 /brc/home.spg?decorator=flavi 3487 47.27 /brc/home.spg?decorator=filo 2834 54.89 /brc/home.spg?decorator=herpes 2733 54.24 /brc/home.spg?decorator=paramyxo 2589 58.34 /brc/home.spg?decorator=corona 2422 55.31 /brc/home.spg?decorator=picorna 2072 54.29 /brc/home.spg?decorator=flavi_hcv 1905 69.55 /brc/home.spg?decorator=pox 1897 54.55 /brc/home.spg?decorator=bunya 1460 49.96 /brc/home.spg?decorator=toga 1441 45.03 /brc/home.spg?decorator=calici 1321 47.76 /brc/home.spg?decorator=rhabdo 1253 56.60 /brc/home.spg?decorator=reo 1117 48.60 /brc/home.spg?decorator=arena 1071 40.79 /brc/home.spg?decorator=hepe 928 33.88

Virus Family Popularity

Previous year

Page 15: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

Paramyxoviridae

Page 16: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

Page Virus Taxa ViPR Functionality Pageviews Avg. Time on Page /brc/home.spg?decorator=flavi_dengue flavi_dengue Home 3681 74.79 /brc/home.spg?decorator=flavi flavi Home 3487 47.27 /brc/home.spg?decorator=flavi_hcv flavi_hcv Home 1905 69.55 /brc/genotypeRecombination.spg?method=ShowCleanInputPage&decorator=flavi_hcv flavi_hcv GenotypeRecombination 1550 34.90 /brc/workbench_landing.spg?decorator=flavi&method=WorkbenchDetail flavi Workbench 1146 48.81 /brc/vipr_genome_search.spg?method=ShowCleanSearch&decorator=flavi_dengue flavi_dengue GenomeSearch 1140 92.33 /brc/vipr_protein_search.spg?method=ShowCleanSearch&decorator=flavi_dengue flavi_dengue ProteinSearch 882 80.39 /brc/vipr_genome_search.spg?method=ShowCleanSearch&decorator=flavi flavi GenomeSearch 837 73.22 /brc/blast.spg?method=ShowCleanInputPage&decorator=flavi_hcv flavi_hcv BLAST 775 46.67 /brc/vipr_protein_search.spg?method=ShowCleanSearch&decorator=flavi flavi ProteinSearch 706 77.41 /brc/search_landing.spg?decorator=flavi flavi Search 651 21.87 /brc/aboutPathogen.spg?decorator=flavi flavi About 596 296.75 /brc/search_landing.spg?decorator=flavi_dengue flavi_dengue Search 547 19.62 /brc/blast.spg?method=ShowCleanInputPage&decorator=flavi flavi BLAST 526 52.48 /brc/vipr_protein_search.spg?method=ShowCleanSearch&decorator=flavi_hcv flavi_hcv ProteinSearch 523 79.00 /brc/genotypeRecombination.spg?method=ShowCleanInputPage&decorator=flavi_dengue flavi_dengue GenotypeRecombination 511 23.16 /brc/vipr_genome_search.spg?method=ShowCleanSearch&decorator=flavi_hcv flavi_hcv GenomeSearch 478 69.38 /brc/analysis_landing.spg?decorator=flavi flavi Analysis 442 26.97 /brc/analysis_landing.spg?decorator=flavi_hcv flavi_hcv Analysis 374 22.02 /brc/search_landing.spg?decorator=flavi_hcv flavi_hcv Search 360 16.14 /brc/epiDataSets.spg?decorator=flavi flavi Epidemiology Datasets 336 100.70 /brc/analysis_landing.spg?decorator=flavi_dengue flavi_dengue Analysis 301 27.22 /brc/msa.spg?method=ShowCleanInputPage&decorator=flavi_hcv flavi_hcv MSA 243 65.34 /brc/quickTextSearch.spg?method=showQuickTextSearch&decorator=flavi flavi QuickSearch 242 17.14 /brc/vipr_genome_search.spg?method=SubmitForm&blockId=denguevirus1&decorator=flavi_dengue flavi_dengue GenomeSearch 232 83.07 /brc/workbench_landing.spg?decorator=flavi_dengue&method=WorkbenchDetail flavi_dengue Workbench 229 54.05 /brc/staticContent.spg?decorator=flavi&type=NewsEventsVipr&subtype=viprMeetingsEvents flavi NewsEvents 228 163.58 /brc/msa.spg?method=ShowCleanInputPage&decorator=flavi_dengue flavi_dengue MSA 214 80.72 /brc/msa.spg?method=ShowCleanInputPage&decorator=flavi flavi MSA 213 85.94 /brc/workbench_landing.spg?method=WorkbenchDetail&decorator=flavi flavi Workbench 167 63.71 /brc/viprDetails.spg?ncbiProteinId=ACH98042&decorator=flavi flavi HCV NS5 protein 162 91.66 /brc/vipr_genome_search.spg?method=SubmitForm&blockId=denguevirus2&decorator=flavi_dengue flavi_dengue GenomeSearch 161 82.09 /brc/workbench_landing.spg?decorator=flavi_hcv&method=WorkbenchDetail flavi_hcv Workbench 151 57.42 /brc/workbench_landing.spg?method=WorkbenchDetail&decorator=flavi_hcv flavi_hcv Workbench 140 32.47 /brc/quickTextSearch.spg?method=showQuickTextSearch&decorator=flavi_dengue flavi_dengue QuickSearch 139 19.08 /brc/snpAnalysis.spg?method=ShowCleanInputPage&decorator=flavi flavi SNP 131 113.77 /brc/blast.spg?method=ShowCleanInputPage&decorator=flavi_dengue flavi_dengue BLAST 129 58.68 /brc/tree.spg?method=ShowCleanInputPage&decorator=flavi flavi Tree 127 67.57 /brc/vipr_genome_search.spg?method=SubmitForm&blockId=2694&decorator=flavi flavi GenomeSearch 124 50.39 /brc/vipr_genome_search.spg?method=SubmitForm&blockId=genotype_1&decorator=flavi_hcv flavi_hcv GenomeSearch 117 62.80 /brc/vipr_genome_search.spg?method=SubmitForm&blockId=730-731-732-733-734-735-736-843-844-845-846-847-848-849-850&decorator=flavi flavi GenomeSearch 113 89.69 /brc/vipr_proteinStructure_search.spg?method=ShowCleanSearch&decorator=flavi_dengue flavi_dengue ProteinStructure 109 70.49 /brc/vipr_virusEpitope_search.spg?method=ShowCleanSearch&decorator=flavi_dengue flavi_dengue Epitope 107 73.22 /brc/vipr_genome_search.spg?method=SubmitForm&blockId=denguevirus4&decorator=flavi_dengue flavi_dengue GenomeSearch 102 64.83 /brc/epiSrcTypeData.spg?dataSet=Cases DF+DHS+DSS&typeCvt=1282&decorator=flavi&srcCvt=1304 flavi_dengue Epidemiology Datasets 101 96.22

Flavi Functionality

Page 17: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

Page Virus Taxa ViPR Functionality Pageviews Avg. Time on Page /brc/home.spg?decorator=flavi_dengue flavi_dengue Home 3681 74.79 /brc/home.spg?decorator=flavi flavi Home 3487 47.27 /brc/home.spg?decorator=flavi_hcv flavi_hcv Home 1905 69.55 /brc/genotypeRecombination.spg?method=ShowCleanInputPage&decorator=flavi_hcv flavi_hcv GenotypeRecombination 1550 34.90 /brc/workbench_landing.spg?decorator=flavi&method=WorkbenchDetail flavi Workbench 1146 48.81 /brc/vipr_genome_search.spg?method=ShowCleanSearch&decorator=flavi_dengue flavi_dengue GenomeSearch 1140 92.33 /brc/vipr_protein_search.spg?method=ShowCleanSearch&decorator=flavi_dengue flavi_dengue ProteinSearch 882 80.39 /brc/vipr_genome_search.spg?method=ShowCleanSearch&decorator=flavi flavi GenomeSearch 837 73.22 /brc/blast.spg?method=ShowCleanInputPage&decorator=flavi_hcv flavi_hcv BLAST 775 46.67 /brc/vipr_protein_search.spg?method=ShowCleanSearch&decorator=flavi flavi ProteinSearch 706 77.41 /brc/search_landing.spg?decorator=flavi flavi Search 651 21.87 /brc/aboutPathogen.spg?decorator=flavi flavi About 596 296.75 /brc/search_landing.spg?decorator=flavi_dengue flavi_dengue Search 547 19.62 /brc/blast.spg?method=ShowCleanInputPage&decorator=flavi flavi BLAST 526 52.48 /brc/vipr_protein_search.spg?method=ShowCleanSearch&decorator=flavi_hcv flavi_hcv ProteinSearch 523 79.00 /brc/genotypeRecombination.spg?method=ShowCleanInputPage&decorator=flavi_dengue flavi_dengue GenotypeRecombination 511 23.16 /brc/vipr_genome_search.spg?method=ShowCleanSearch&decorator=flavi_hcv flavi_hcv GenomeSearch 478 69.38 /brc/analysis_landing.spg?decorator=flavi flavi Analysis 442 26.97 /brc/analysis_landing.spg?decorator=flavi_hcv flavi_hcv Analysis 374 22.02 /brc/search_landing.spg?decorator=flavi_hcv flavi_hcv Search 360 16.14 /brc/epiDataSets.spg?decorator=flavi flavi Epidemiology Datasets 336 100.70 /brc/analysis_landing.spg?decorator=flavi_dengue flavi_dengue Analysis 301 27.22 /brc/msa.spg?method=ShowCleanInputPage&decorator=flavi_hcv flavi_hcv MSA 243 65.34 /brc/quickTextSearch.spg?method=showQuickTextSearch&decorator=flavi flavi QuickSearch 242 17.14 /brc/vipr_genome_search.spg?method=SubmitForm&blockId=denguevirus1&decorator=flavi_dengue flavi_dengue GenomeSearch 232 83.07 /brc/workbench_landing.spg?decorator=flavi_dengue&method=WorkbenchDetail flavi_dengue Workbench 229 54.05 /brc/staticContent.spg?decorator=flavi&type=NewsEventsVipr&subtype=viprMeetingsEvents flavi NewsEvents 228 163.58 /brc/msa.spg?method=ShowCleanInputPage&decorator=flavi_dengue flavi_dengue MSA 214 80.72 /brc/msa.spg?method=ShowCleanInputPage&decorator=flavi flavi MSA 213 85.94 /brc/workbench_landing.spg?method=WorkbenchDetail&decorator=flavi flavi Workbench 167 63.71 /brc/viprDetails.spg?ncbiProteinId=ACH98042&decorator=flavi flavi HCV NS5 protein 162 91.66 /brc/vipr_genome_search.spg?method=SubmitForm&blockId=denguevirus2&decorator=flavi_dengue flavi_dengue GenomeSearch 161 82.09 /brc/workbench_landing.spg?decorator=flavi_hcv&method=WorkbenchDetail flavi_hcv Workbench 151 57.42 /brc/workbench_landing.spg?method=WorkbenchDetail&decorator=flavi_hcv flavi_hcv Workbench 140 32.47 /brc/quickTextSearch.spg?method=showQuickTextSearch&decorator=flavi_dengue flavi_dengue QuickSearch 139 19.08 /brc/snpAnalysis.spg?method=ShowCleanInputPage&decorator=flavi flavi SNP 131 113.77 /brc/blast.spg?method=ShowCleanInputPage&decorator=flavi_dengue flavi_dengue BLAST 129 58.68 /brc/tree.spg?method=ShowCleanInputPage&decorator=flavi flavi Tree 127 67.57 /brc/vipr_genome_search.spg?method=SubmitForm&blockId=2694&decorator=flavi flavi GenomeSearch 124 50.39 /brc/vipr_genome_search.spg?method=SubmitForm&blockId=genotype_1&decorator=flavi_hcv flavi_hcv GenomeSearch 117 62.80 /brc/vipr_genome_search.spg?method=SubmitForm&blockId=730-731-732-733-734-735-736-843-844-845-846-847-848-849-850&decorator=flavi flavi GenomeSearch 113 89.69 /brc/vipr_proteinStructure_search.spg?method=ShowCleanSearch&decorator=flavi_dengue flavi_dengue ProteinStructure 109 70.49 /brc/vipr_virusEpitope_search.spg?method=ShowCleanSearch&decorator=flavi_dengue flavi_dengue Epitope 107 73.22 /brc/vipr_genome_search.spg?method=SubmitForm&blockId=denguevirus4&decorator=flavi_dengue flavi_dengue GenomeSearch 102 64.83 /brc/epiSrcTypeData.spg?dataSet=Cases DF+DHS+DSS&typeCvt=1282&decorator=flavi&srcCvt=1304 flavi_dengue Epidemiology Datasets 101 96.22

Flavi Functionality

Page 18: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

Epi Data

Page 19: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

•  Overall usage statistics generally look good – growth in both citations and website usage

•  Still an opportunity to continue to grow the VIPR user community

•  Challenge in supporting the wide range of virus families that have many independent research communities

•  Specific area of focus: –  HCV, Paramyxo, Pox

–  Host factor component (~300 pageviews/corona; ~3100 total)

Conclusions

Page 20: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

ViPR SWG November 17, 2015

Recent Enhancements

Page 21: ViPR SWG Meeting · ViPR SWG Agenda" Usage" Importance of usage statistics" – Quantifies value of resource" – Helps identify issues and opportunities" Usage metrics" – Web

•  RVA sequences annotated with segment number and genotype

•  Search for RVA sequences by genotype and segment

•  Tool to annotate custom sequences with genotype

Rotavirus A (RVA) Genotyping 10/1/2015 Virus Pathogen Database and Analysis Resource (ViPR) - Reoviridae - Genome Search

http://www.viprbrc.org/brc/vipr_genome_search.spg?method=ShowCleanSearch&decorator=reo 1/1

Loading  Virus  Pathogen  Database  and  Analysis  Resource  (ViPR)...

Release  Date:  Sep  10,  2015

This  project  is  funded  by  the  National  Institute  of  Allergy  and  Infectious  Diseases  (NIH  /  DHHS)  under  Contract  No.  HHSN272201400028C  and  is  a  collaboration  between  NorthropGrumman  Health  IT,  J.  Craig  Venter  Institute,  and  Vecna  Technologies.  Virus  images  courtesy  of  CDC  Public  Health  Image  Library,  Wellcome  Images,  U.S.  Department  of  VeteransAffairs,  Science  of  the  Invisible  and  ViralZone,  Swiss  Institute  of  Bioinformatics.

Start  to  type  strain  to  get  suggestions Deselect  All

SELECT  VIRUS(ES)  TO  INCLUDE  IN  SEARCHJump  to  strain  in  taxonomy:

Browse  to  and  Select  Rotavirus  A

COMPLETE  SEQUENCES  Complete  Sequences  Only

Start: YYYY

 End: YYYY

COLLECTIONYEAR

To  add  month  tosearch,  see  AdvanceSearch  Options:Month  Range

GEOGRAPHIC  GROUPING

COUNTRY

HOST  SELECTION

GENOTYPEG   G1Ex:  G1,  G3,  G%

P   P[8]Ex:  P[2],  P[7],  P%

 Mixed  Genotype  only

SEGMENTS COMPLETE  GENOME  Complete  Genome  Set  Only

ADVANCED  OPTIONSSearchClear

Results  matching  your  criteria:  178

ROTAVIRUS  A-­SPECIFIC  OPTIONS

Tip:  To  select  multiple  or  deselect,  Ctrl-­click  (Windows)  or  Cmd-­click  (MacOS)

 Show  All

  Species: Rotavirus  A Deselect  All(14629/14629  strains  selected)

(14629  Strains  -­  22848  complete  segments)

  Species: Rotavirus  B Select  All(0/402  strains  selected) (402  Strains  -­  477  complete  segments)

  Species: Rotavirus  C Select  All(0/816  strains  selected) (816  Strains  -­  982  complete  segments)

  Species: Rotavirus  D Select  All(0/38  strains  selected) (38  Strains  -­  34  complete  segments)

  Species: Rotavirus  F Select  All

AllAfricaAsiaEuropeNorth AmericaOceaniaSouth America

MartiniqueMexicoNicaraguaPanamaPuerto RicoTrinidad and TobagoUSA

AllAlfalfa HopperAlgaeAntelopeArachnidAvianBaboonBatBirdBlue CrabBollworm

AllVP1 (R)VP2 (C)VP3 (M)VP4 (P)NSP1 (A)VP6 (I)NSP3 (T)NSP2 (N)VP7 (G)NSP4 (E)NSP5/NSP6 (H)

Genome  Search  Search  for  virus  genomic  sequences  and  related  information.  You  can  search  for  the  whole  virus  family  or  search  for  specified  genus,  species  etc.  You  can  also  find  your  strainor  genome  record  if  you  have  its  information,  such  as  strain  name,  accession.  

Rotavirus  A  (RVA)  the  major  rotavirus  group  that  infects  humans,  remains  a  major  cause  of  morbidity  in  infants  and  children  worldwide.  Given  the  public  health  significance,ViPR  has  introduced  dedicated  options  for  searching  RVA  genomes.  Make  a  selection  in  the  taxonomy  browser  that  includes  RVA  or  check  the  Rotavirus  A  checkbox  foundbelow  the  browser.

ViPR  Home    Reoviridae  Home    Genome  Search

SEARCH  DATA ANALYZE  &  VISUALIZE WORKBENCH SUBMIT  DATA VIRUS  FAMILIES HELP [email protected]

ReoviridaeAbout  Us Community Announcements Links Resources Support

10/1/2015 Virus Pathogen Database and Analysis Resource (ViPR) - Reoviridae - Genome Search

http://www.viprbrc.org/brc/vipr_genome_search.spg?method=ShowCleanSearch&decorator=reo 1/1

Loading  Virus  Pathogen  Database  and  Analysis  Resource  (ViPR)...

Release  Date:  Sep  10,  2015

This  project  is  funded  by  the  National  Institute  of  Allergy  and  Infectious  Diseases  (NIH  /  DHHS)  under  Contract  No.  HHSN272201400028C  and  is  a  collaboration  between  NorthropGrumman  Health  IT,  J.  Craig  Venter  Institute,  and  Vecna  Technologies.  Virus  images  courtesy  of  CDC  Public  Health  Image  Library,  Wellcome  Images,  U.S.  Department  of  VeteransAffairs,  Science  of  the  Invisible  and  ViralZone,  Swiss  Institute  of  Bioinformatics.

Start  to  type  strain  to  get  suggestions Deselect  All

SELECT  VIRUS(ES)  TO  INCLUDE  IN  SEARCHJump  to  strain  in  taxonomy:

Browse  to  and  Select  Rotavirus  A

COMPLETE  SEQUENCES  Complete  Sequences  Only

Start: YYYY

 End: YYYY

COLLECTIONYEAR

To  add  month  tosearch,  see  AdvanceSearch  Options:Month  Range

GEOGRAPHIC  GROUPING

COUNTRY

HOST  SELECTION

GENOTYPEG   G1Ex:  G1,  G3,  G%

P   P[8]Ex:  P[2],  P[7],  P%

 Mixed  Genotype  only

SEGMENTS COMPLETE  GENOME  Complete  Genome  Set  Only

ADVANCED  OPTIONSSearchClear

Results  matching  your  criteria:  178

ROTAVIRUS  A-­SPECIFIC  OPTIONS

Tip:  To  select  multiple  or  deselect,  Ctrl-­click  (Windows)  or  Cmd-­click  (MacOS)

 Show  All

  Species: Rotavirus  A Deselect  All(14629/14629  strains  selected)

(14629  Strains  -­  22848  complete  segments)

  Species: Rotavirus  B Select  All(0/402  strains  selected) (402  Strains  -­  477  complete  segments)

  Species: Rotavirus  C Select  All(0/816  strains  selected) (816  Strains  -­  982  complete  segments)

  Species: Rotavirus  D Select  All(0/38  strains  selected) (38  Strains  -­  34  complete  segments)

  Species: Rotavirus  F Select  All

AllAfricaAsiaEuropeNorth AmericaOceaniaSouth America

MartiniqueMexicoNicaraguaPanamaPuerto RicoTrinidad and TobagoUSA

AllAlfalfa HopperAlgaeAntelopeArachnidAvianBaboonBatBirdBlue CrabBollworm

AllVP1 (R)VP2 (C)VP3 (M)VP4 (P)NSP1 (A)VP6 (I)NSP3 (T)NSP2 (N)VP7 (G)NSP4 (E)NSP5/NSP6 (H)

Genome  Search  Search  for  virus  genomic  sequences  and  related  information.  You  can  search  for  the  whole  virus  family  or  search  for  specified  genus,  species  etc.  You  can  also  find  your  strainor  genome  record  if  you  have  its  information,  such  as  strain  name,  accession.  

Rotavirus  A  (RVA)  the  major  rotavirus  group  that  infects  humans,  remains  a  major  cause  of  morbidity  in  infants  and  children  worldwide.  Given  the  public  health  significance,ViPR  has  introduced  dedicated  options  for  searching  RVA  genomes.  Make  a  selection  in  the  taxonomy  browser  that  includes  RVA  or  check  the  Rotavirus  A  checkbox  foundbelow  the  browser.

ViPR  Home    Reoviridae  Home    Genome  Search

SEARCH  DATA ANALYZE  &  VISUALIZE WORKBENCH SUBMIT  DATA VIRUS  FAMILIES HELP [email protected]

ReoviridaeAbout  Us Community Announcements Links Resources Support

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•  Mature peptides computed •  Proteins grouped into ortholog groups based on sequence similarity •  Search by ortholog group name in Coronaviridae family

Coronavirus Ortholog Grouping

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•  Option to run the analysis in CiPRES •  Currently available for RaXML •  Sequences automatically transferred to

CiPRES

•  Results are sent back to ViPR and saved to the user’s workbench

CiPRES Portal

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•  Manually curated clinical outcomes of the 2014 sequences available

Ebola Portal and D68 Sequence Searches

•  Quick access to D68 sequences from homepage

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•  Gene enrichment analysis using either Gene Ontology (GO) annotations or Reactome pathway sets

•  Output a list of gene annotation terms or pathways that are enriched in the host factor biosets

GO Enrichment

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•  To support multi-user tasks •  To overcome internet bandwidth limitation •  To conform to new contract limitations in hardware purchases •  FISMA moderate compatible

AWS Cloud Migration

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SWG Feedback

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A.  Herpesvirus Sequence Search and Sequence Annotation Exploration 

B.  Comparative Genomics Analysis of Dengue Viruses  C.  Comparative Genomics Analysis of Chikungunya

Viruses (CHIKV) 

D.  Host Factor Data Analysis

Exercises

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Viral Orthology and Naming Consistency���(Herpesviridae)

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Objectives and Issues The Fire Hose Paraclades Results Drill down Approaches to the naming problem Future work

Overview

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Name consistency

How do we identify and name functional orthologs?

Is our current ortholog clustering software (OrthoMCL)

“working”? If so, what is it doing? How do we quantitatively measure this?

Are the loci of different viruses grouping together? If so how?

Do some of the ortholog groups span only one species? One genus? One subfamily? An entire family?

How do we match up various locus names and find “good” functional gene names? Define Good.

Objectives and Issues

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Search for names by first creating a composite protein table – Even in the first 17 rows of GroupID1000 there are inconsistencies. Current table size for Herpesviridae orthologs is 65,000+ rows The size of the ortholog group table will grow at close to an exponential rate over time.

Composite Ortholog Group Table��� – The Fire Hose

“Name Types”

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Ortholog Group 1004 (HHV-1 locus UL28) List of NCBI_Gene_Primary names with counts in brackets

Family-wide statistics have confounded names

•  Name-count list sorted by count frequency���(These prototype web pages are color coded)

•  The names are inconsistent. •  The names are confounded – there is no indication

of where the names are coming from or their taxonomic span.

•  The size of this name-count list will grow at a limited ( ~ logarithmic ) rate over the ortholog table size.

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Paraclades Paraclade ≡ A clade minus a branch (or two) Name statistics are counted once and only once.

Example: Human herpesvirus 1 Reference strain: NC_001806

Family Paraclade (Herpesviridae)

Species (HHV-1)

Strain (NC_001806)

Subfamily Paraclade (Alphaherpesvirinae)

Genus Paraclade (Simplexvirus)

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HHV-1 Results – Index page

Number of Reference Strain and Target Species groups approximately match with the number of HHV-1 loci → Indicates the clustering algorithm is working

Hyperlinks to locus statistics pages (prototype)

Paraclade counts show taxonomic distribution

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Ortholog groups map well to loci

Taxonomic span can be HHV-1, Simplexvirus, Alphaherpesvirinae, or Herpesviridae

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HHV-1 / UL28 (GroupID 1004) page

OK, so what species are these in?

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HHV-5, Cytomegalovirus

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Cytomegalovirus (HHV-5) / UL56 page

UL56 and UL28 paraclade positions are now reversed

UL56 for HHV-5 is completely disambiguated

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The Protein Naming Problem There are at least 3 dimensions or axes in the name space:

–  Locus

–  Taxa

–  Function

It is unlikely that scientists will want to give up the locus names for viral species of interest to them.

We can create “composite” names that concatenate the names along the different axes.

–  For example: <Species>-<LocusName>-<FunctionName>

These can be placed in a table of orthologous names

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Example Name Table All-Taxa counts for GroupID 1004 (HSV1-UL28)

Glossary HSV1 Herpes Simplex Virus 1 (Alphaherpesvirinae subfamily) VZV Varicella Zoster Virus (Alphaherpesvirinae) CMV Cytomegalovirus (Betaherpesvirinae) KSHV Kaposi’s Sarcoma Herpes Virus (Gammaherpesvirinae)

Taxonomic Span Protein Name HSV1 VZV CMV KSHV

Herpesviridae processing_and_transport_protein UL28 ORF30 UL56 ORF7

SimplexVirus1 envelope-glycoprotein-J US5 - - -

Alphaherpesvirinae capsid_maturation_protease UL26 ORF33 - -

Betaherpesvirinae envelope_glycoprotein_L - - UL115 -

Herpesviridae uracil_DNA_glycosylase UL2 ORF59 UL114 ORF46

Gammaherpesvirinae Sushi_domain_SCR_repeat - - - ORF4

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Future Work Create ortholog group statistics for all 14 families Calculate statistics sets for a broad range of target species within each family

Clustering algorithms have a variable granularity parameter that adjusts the grouping for more or less distantly related strains.

–  We can now turn this knob and directly observe the effect

Test alternative algorithms to OrthoMCL Use GroupID to hyperlink locus names to different target species pages.

Assemble a working group to review results

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ViPR: Enhancing the Host Factor���Component to Support Antiviral Research

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Rationale for inclusion of viral host response analysis into ViPR?

- Elucidate key viral mechanisms/pathways

- Identify promising host drug targets to yield antiviral effects

Analysis of Viral Host Factors in ViPR

Future enhancements: - Expand to include additional host factor data and analysis - Integrate with upcoming antiviral drug component in ViPR

Analysis: Host response patterns in associated biosets

Output: Host factors of interest

Boolean Operators

Enrichment Analysis: -Gene Ontology -Pathways

External Tools: Visualization and Analysis

Export Data Export Data

Query: Virus, or Host Factor

Data: Host factor response to viral infection

Host Factor Analysis in ViPR (only Coronaviridae and Orthomyxoviridae)

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Suggestions or Comments are always appreciated

Why are ViPR host factor tools utilized relatively infrequently?

Possible reasons for limited use?

-Not interested, or not convinced that host factor data can substantially augment virus research

-Not sure how to navigate/utilize host factor toolset

-Unfamiliar or uncomfortable with analysis and summarization of large –omics data sets

-Prefer a different source for virus-host factor information (E.g., VirHostNet 2.0)

-Desired functionality or data set not available in ViPR

-Other

Host factor analysis component in ViPR made available March 2012

Host factor analysis component is underutilized. Why?

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Targeting Host Factors to Treat Hepatitis C

High usage of ViPR tools for Hepatitis C virus (HCV) -Response: Implement into ViPR a host factor component specific to needs of HCV researchers

Has Hepatitis C already been cured?

-Recent direct-acting antivirals (DAAs) cure 80-90% of infected patients -Large number of infected patients non-responsive to DAAs

-Emergence of viral strains resistant to even the most promising DAAs -More likely due to high viral mutation rates and short generation times

-Tip of the iceberg for DAA resistance

An alternative: Drugs that target host factors required for viral infection -Larger number of potential targets -Development of resistance less likely (lower host genetic variability)

-Key steps in the HCV life cycle can be targeted -Viral entry -Viral translation -Viral replication -Viral assembly -Release of new virions

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Hepatitis C Host-Targetting Agents (HTAs) in Development

Zeisel, et. al., Viruses, 2015, 7, 5659-5685

Several HTAs are already in development -Target multiple components of host response -Some FDA approved or in late stage clinical trials

Preclinical results combining HTA/DAA are promising

-Indicate possible HTA/DAA synergy What can we add to ongoing research through ViPR? o  Comprehensive dataset for all host proteins and drugs targeting these proteins relevant to the HCV life cycle o  Identify most promising alternative treatments for resistant viral variants o  Identify/predict likely efficacious HTA/DAA combinations

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General Approach:

o Incorporate an infrastructure for antiviral drug data and analysis into ViPR

o Integrate these data/tools with host factor component of ViPR Overall Goal:

o Discovery of host pathways/proteins as potential drug targets to produce antiviral effects

- Repurpose previously FDA approved drugs

Adding Support for Antiviral Drug research in ViPR

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Compile information on: o Known viral protein targets for all antiviral drugs including drug-protein interaction sites on viral proteins o Antiviral resistance mutations for all viruses supported by ViPR

o Implement interface to support access, use, and analysis of these data

Specific Aim 1: Support for Antiviral Research

86 antiviral drugs: identified from relevant MeSH and ATC codes General Drug Information Drug Name Synonyms ID/Accession Number(s) Drug Categories Type / Group(s) Description Structure: InChi or SMILES Chemical Formula

Pharmacology Indication Pharmacodynamics Mechanism of Action Toxicity Affected Organisms Pathways SNP Effects Biointeractions

Target(s) Target Names Protein IDs Gene Organism Pharmacological Action Actions References

Drug-Target Interactions Target, virus, virus subtype Drug Chemical Component ID Target-Drug Interaction ID Assay Description IC50, EC50, KI Co-Crystal Structure Specific Amino Acid Binding Site(s) References Known Resistance Mutations*

DrugBank Database BindingDB Database

-Ontology-structured antiviral drug database that can be queried through ViPR

-Develop “risk assessment” tool for emerging viral strains

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Compile information on: o Host factor data relevant to viral infection (for all ViPR viruses)

o Including transcriptomic, proteomic, RNAi data o Drug targets for all prescription drugs

o Modify interface to support pathway and network analysis across all types of –omics data

Specific Aim 2: Support for Antiviral Research

Drug, Drug-Target Interactome Nodes: Drugs Drug Targets Viruses Pathways Diseases

Edges (Interactions): Virus-Protein Protein-Protein Protein-Pathway Drug-Target Drug-Drug

Compiled Data:

Transcriptomic Pathway RNAi Protein-Protein Interactions Drugs Drug-Targets

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Semantic Networks

Compiled Host Factor Systems Biology Data

Convert OpenBEL

Integrate

ViPR NDEx Repository

o Represent all system biology data using OpenBEL language o Integrate data into NDEx repository of systems biology data o Develop analysis tools utilizing semantic graph theory methods to navigate integrated pathway and network models o Share tools with other BRCs

Specific Aim 3: Support for Antiviral Research

Using OpenBEL statements to describe experimental data

“DrugX directly decreases the catalytic activity of ProteinY” ß Not Computable

can be expressed as:

a(ChEBI:DrugX) =| cat(HGNC:ProteinY) ß Computable!

Analysis: Graph theory algorithms

Navigate and Query

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Will these Tools Impact Usage of the Host Factor Component in ViPR?

Future Implementation Host Factor Analysis in ViPR

Data:

Host response to virus:

All types –omics data

All supported viruses

Results/Output: Host pathways and proteins as drug targets to produce antiviral effects

Current Host Factor Analysis in ViPR

Data:

Host response to infection: Orthomyxoviridae Coronaviridae

Results/Output:

Host response patterns

Enriched ontology and pathways Faceted Search

Analysis:

Query Comprehensive Semantic Drug-Target Interactome

Analysis:

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Future Enhancements

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Enhancements for this contract year 2015- 2016 – Research project driven enhancements – Metadata harmonization

– Analysis tools – Annotation

Your enhancement here! – We always value community input and prioritize

when possible –  Input from domain experts are critical

Planned enhancements

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Ortholog groups – Applying new approach to relevant families – Naming Tool

Host anti-viral targets – RNAi component – Cytoscape Web implementation

•  Integration of NDEx

–  Inclusion of public host factor data

Research project enhancements

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Many viral related metadata standards have been developed in parallel. Examples:

– CEIRS-DPCC: surveillance, serology, NGS

– GSCID-BRC: sequence, clinical sequence – SysBio-v2.0: host factor data

Need to harmonize across standards to improve relational database model

Metadata harmonization

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•  Improved support for user-provided metadata •  Utilize user provided sequences along with metadata in analysis

tools •  Decorate Phylogenies

•  Perform Metadata-driven Comparative Analysis of uploaded

sequences

Tool enhancements

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•  BEAST for advanced phylogenetic analyses •  “Phylogenetic inference,

divergence time dating, coalescent analysis, phylogeography…”

–  Drummond AJ et al Mol Biol Evol. 2012

•  BEAUti (model parameters) on ViPR

•  BEAST analysis on CIPRES

Tool enhancements continued

Drummond AJ (2006) doi:10.1371

Relaxed Phylogentic Tree of 69 Influenza A Virus Sequences

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•  VIGOR •  Used to annotate viral genomes •  Web application •  Genera covered ->

•  Reference Proteome •  IEDB by request •  Improve epitope mapping

Improved annotation

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2016 Planned Outreach Activities

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Jan. 26-28, 2016: Viruses 2016, Basel, Switzerland*

Apr. 17-21, 2016: International Conference on Antivirals Congress, La Jolla, California (Keynote by Dr. Richard Scheuermann)

May 1-5, 2016: Positive Strand RNA Viruses, Austin, Texas

Jun. 18-22, 2016: American Society for Virology Annual Meeting, Blacksburg, Virginia*

Jul. 23-27, 2016: International Herpesvirus Workshop, Madison, Wisconsin

Aug. 24-28, 2016: Options for the Control of Influenza, Chicago, Illinois*

Dec. 4-8, 2016: Hemorrhagic Fever Viruses (S3), Santa Fe, New Mexico

TBD 2016: International Rotavirus Symposium, Melbourne

* Exhibit booth

Scientific Conferences

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Duke-NUS Graduate Medical School, Singapore 

University of Texas Medical Branch at Galveston

Chinese Center for Disease Control and Prevention

Institute of Microbiology, Chinese Academy of Sciences

Wuhan Institute of Virology, Chinese Academy of Sciences

Massachusetts Institute of Technology

Harvard University  Seattle Biomed International Livestock Research Institute,

Kenya University of Rochester Mount Sinai School of Medicine Emory University NIH/NIAID/OCICB University of Pennsylvania Purdue University  University of Limpopo, South Africa 

Workshop Site Visits 2016 Johns Hopkins University Centers for Disease Control and Prevention Previous workshop site visits