1 / 28

CRC Project on Robust Transcript Discovery and Quantification from Sequencing Data

CRC Project on Robust Transcript Discovery and Quantification from Sequencing Data. Oct. 7, 2011 live call. UCONN: Ion Mandoiu , Sahar Elsisi GSU: Alex Zelikovsky , Serghei Mangul , Adrian Caciula Lifetech PI: Dumitru Brinza. Outline.

benjy
Download Presentation

CRC Project on Robust Transcript Discovery and Quantification from Sequencing Data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. CRC Project on Robust Transcript Discovery and Quantification from Sequencing Data Oct. 7, 2011 live call UCONN: Ion Mandoiu, SaharElsisi GSU: Alex Zelikovsky, SergheiMangul, Adrian Caciula Lifetech PI: DumitruBrinza

  2. Outline • IsoEMplugin for accurate prediction of transcription level • Results on ION data • Comparison to other tools and platforms • Progress on transcript reconstruction • Feedback on plugin development and deployment on VM

  3. Outline • IsoEMplugin for accurate prediction of transcription level • Results on ION data • Comparison to other tools and platforms • Progress on transcript reconstruction • Feedback on plugin development and deployment on VM

  4. IsoEM: Isoform Expression Level Estimation • Expectation-Maximization algorithm • Unified probabilistic model incorporating • Single and/or paired reads • Fragment length distribution • Strand information • Base quality scores • Repeat and hexamer bias correction

  5. Read-isoform compatibility graph

  6. Fragment length distribution • Paired reads A B C A C Fa(i) i A B C A B C j A C Fa(j) A C

  7. Fragment length distribution • Single reads A B C A C i j Fa(i) Fa(j) A B C A B C A C A C

  8. IsoEM Plugin

  9. IsoEMPlugin Outputs

  10. IsoEMPlugin Outputs: FPKM estimates

  11. IsoEMPlugin Outputs: UCSC tracks

  12. Outline • IsoEMplugin for accurate prediction of transcription level • Results on ION data • Comparison to other tools and platforms • Progress on transcript reconstruction • Feedback on plugin development and deployment on VM

  13. MAQC data • 2 RNA samples: UHRR, HBRR • 5 ION runs each • Gold standard • Gene expression levels measured in quadruplicate by qPCR for 832 Ensembl genes [MAQC Consortium 06]

  14. IsoEM resultson ION HBR runs

  15. IsoEM results on ION UHR runs

  16. Outline • IsoEMplugin for accurate prediction of transcription level • Results on ION data • Comparison to other tools and platforms • Progress on transcript reconstruction • Feedback on plugin development and deployment on VM

  17. IsoEM vs. Cufflinks 1.0.3 on ION reads

  18. HBR GOG-139_281

  19. MAQC Illumina datasets

  20. R2 of IsoEM estimates from ION & Illumina HBR reads Average R2 for 5 ION Torrent MAQC HBR Runs (avg. 1,559,842 reads) R2for combined reads from 5 ION Torrent MAQC HBR Runs (7,799,210 reads)

  21. R2 of IsoEM estimates from ION & Illumina UHR reads Average R2 for 5 ION Torrent MAQC UHR Runs (average 1,941,663 reads) R2for combined reads from 5 ION Torrent MAQC UHR Runs (9,708,315 reads)

  22. Outline • IsoEMplugin for accurate prediction of transcription level • Results on ION data • Comparison to other tools and platforms • Progress on transcript reconstruction • Feedback on plugin development and deployment on VM

  23. Virtual Transcript ExpectationMaximization (VTEM) Update weights of reads in virtual transcript (Partially) Annotated Genome + Virtual Transcript with 0-weights in virtual transcript ML estimates of transcript frequencies EM EM Virtual Transcript frequencychange>ε? Output overexpressed exons Compute expected exons frequencies YES NO *

  24. Discovery and Reconstruction of UnannotatedTranscripts (DRUT)

  25. Experimental results

  26. Outline • IsoEMplugin for accurate prediction of transcription level • Results on ION data • Comparison to other tools and platforms • Progress on transcript reconstruction • Feedback on plugin development and deployment on VM

  27. What we would have liked… • Available RNA-Seq runs on the demo VM • Documentation for XML tag sets used in instance.html • Installed pluginsthat run without errors on demo data • Remote access to production Torrent server dedicated to plugindevelopers • Running tests on VM is very slow

  28. Work in progress for IsoEMplugin v.2 • More genomes/transcript libraries • Expose more options to the user • Read mapping algorithm • Filtering of local alignments • Hexamer bias correction • Quality scores • Inference of fragment length distribution (for PE data) • Bias correction using ERCC • Inference of allele specific isoform expression (requires RNA-Seq SNP calling plugin)

More Related