A probabilistic framework for aligning paired-end RNA-seq data | Zendy

Yin Hu | Zendy; Kai Wang | Zendy; Xiaping He | Zendy; Derek Y. Chiang | Zendy; Jan F. Prins | Zendy; Jinze Liu | Zendy

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A probabilistic framework for aligning paired-end RNA-seq data

Author(s) -

Yin Hu,

Kai Wang,

Xiaping He,

Derek Y. Chiang,

Jan F. Prins,

Jinze Liu

Publication year - 2010

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btq336

Subject(s) - splice , fragment (logic) , rna splicing , probabilistic logic , computational biology , exon , computer science , alternative splicing , genome , biology , genetics , rna , algorithm , gene , artificial intelligence

The RNA-seq paired-end read (PER) protocol samples transcript fragments longer than the sequencing capability of today's technology by sequencing just the two ends of each fragment. Deep sampling of the transcriptome using the PER protocol presents the opportunity to reconstruct the unsequenced portion of each transcript fragment using end reads from overlapping PERs, guided by the expected length of the fragment.

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