AUTOMATED  ANNOTATION  OF  
NGS  TRANSCRIPTOME  DATA  
USING  ISGA  AND  ERGATIS
Chris Hemmerich
Center for Genomics and Bioinformatics
Indiana University, Bloomington, Indiana
Keeping up with next-generation
sequencing data requires the use of
   automated analysis pipelines!
Ergatis is a(n awesome) workflow
management tool for designing and
     running such pipelines!

            http://ergatis.sourceforge.net/!
Ergatis: A web interface and scalable software system for
bioinformatics workflows!
Orvis et al. (2010) Bioinformatics !
ISGA is a Biologistʼs tool for running
 and customizing Ergatis pipelines
  previously designed by experts!

               http://isga.cgb.indiana.edu/!

An Ergatis-based prokaryotic genome annotation web server!
Chris Hemmerich, Aaron Buechlein, Ram Podicheti, Kashi Revanna &
Qunfeng Dong, (2010) Bioinformatics!
Hemmerich bosc2010 isga_ergatis
Hemmerich bosc2010 isga_ergatis
Hemmerich bosc2010 isga_ergatis
INTEGRATIVE SERVICES FOR GENOMIC ANALYSIS
   Account   system protects user data and enables
    easy retrieval of previous results
   Integrated visualization, query, and analysis
    tools to explore pipeline results
   File upload and download managed through
    browser
   ISGA pipelines can be run in Ergatis
TRANSCRIPTOME PIPELINE
                          !"#$%&"'()*+,-.,/0,$&,-


                          .,/0,$&,-60#2')7-8'2),"-



9?@.!<-    9?@.!<-               9?@.!A-             <=9>-$"-                        12'3*4'&5,"-



IJK.!-         .,2L-


                       9?@.!4-     4H1.>!K-.=@<-       1H84",I'&)*"-         92#%):;1-      !9?@.!<-


                                           !#D*$*+7-
                   1")M*F=?NO9-             EF,3#$G-            ?'(*4B-.'3$#24-C-!#"3,)4-   H,L,",$&,-
                                                                                             ;,$*+,-

   1")M*F=?-
Transcriptome pipeline is running in
    Ergatis. We are optimizing
   performance and evaluating
      additional functionality.!

         isga-users@sourceforge.net!
CREDITS




 Qunfeng    Aaron        Ram        Kashi
                                             Jeong-Hyeon
  Dong     Buechlein   Podicheti   Revanna
                                                 Choi




                        Haixu
                        Tang

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Hemmerich bosc2010 isga_ergatis

  • 1. AUTOMATED  ANNOTATION  OF   NGS  TRANSCRIPTOME  DATA   USING  ISGA  AND  ERGATIS Chris Hemmerich Center for Genomics and Bioinformatics Indiana University, Bloomington, Indiana
  • 2. Keeping up with next-generation sequencing data requires the use of automated analysis pipelines!
  • 3. Ergatis is a(n awesome) workflow management tool for designing and running such pipelines! http://ergatis.sourceforge.net/! Ergatis: A web interface and scalable software system for bioinformatics workflows! Orvis et al. (2010) Bioinformatics !
  • 4. ISGA is a Biologistʼs tool for running and customizing Ergatis pipelines previously designed by experts! http://isga.cgb.indiana.edu/! An Ergatis-based prokaryotic genome annotation web server! Chris Hemmerich, Aaron Buechlein, Ram Podicheti, Kashi Revanna & Qunfeng Dong, (2010) Bioinformatics!
  • 8. INTEGRATIVE SERVICES FOR GENOMIC ANALYSIS   Account system protects user data and enables easy retrieval of previous results   Integrated visualization, query, and analysis tools to explore pipeline results   File upload and download managed through browser   ISGA pipelines can be run in Ergatis
  • 9. TRANSCRIPTOME PIPELINE !"#$%&"'()*+,-.,/0,$&,- .,/0,$&,-60#2')7-8'2),"- 9?@.!<- 9?@.!<- 9?@.!A- <=9>-$"- 12'3*4'&5,"- IJK.!- .,2L- 9?@.!4- 4H1.>!K-.=@<- 1H84",I'&)*"- 92#%):;1- !9?@.!<- !#D*$*+7- 1")M*F=?NO9- EF,3#$G- ?'(*4B-.'3$#24-C-!#"3,)4- H,L,",$&,- ;,$*+,- 1")M*F=?-
  • 10. Transcriptome pipeline is running in Ergatis. We are optimizing performance and evaluating additional functionality.! [email protected]!
  • 11. CREDITS Qunfeng Aaron Ram Kashi Jeong-Hyeon Dong Buechlein Podicheti Revanna Choi Haixu Tang