Workshop: Novel transcript reconstruction from paired-end RNA-Seq reads using fragment length distribution

Serghei Mangul*, Adrian Caciula, Ion Mandoiu, Alex Zelikovsky

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent advances in DNA sequencing have made it possible to sequence the whole transcriptome by massively parallel sequencing, commonly referred as RNA-Seq. RNA-Seq is quickly becoming the technology of choice for transcriptome research and analyses. RNA-Seq allows to reduce the sequencing cost and significantly increase data throughput, but it is computationally challenging to use such RNA-Seq data for reconstructing of full length transcripts and accurately estimate their abundances across all cell types. The common computational problems include: gene and isoform expression level estimation [1], find transcriptome quantification, transcriptome discovery and reconstruction. To solve these problems it is required to have scalable computational tools.

Original languageEnglish (US)
Title of host publication2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012
DOIs
StatePublished - May 8 2012
Event2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012 - Las Vegas, NV, United States
Duration: Feb 23 2012Feb 25 2012

Publication series

Name2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012

Conference

Conference2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012
CountryUnited States
CityLas Vegas, NV
Period2/23/122/25/12

ASJC Scopus subject areas

  • Biomedical Engineering
  • Applied Mathematics

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    Mangul, S., Caciula, A., Mandoiu, I., & Zelikovsky, A. (2012). Workshop: Novel transcript reconstruction from paired-end RNA-Seq reads using fragment length distribution. In 2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012 [6182673] (2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012). https://doi.org/10.1109/ICCABS.2012.6182673