2012 IEEE 2nd International Conference on Computational Advances in Bio and medical Sciences (ICCABS)

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.

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