MITIE: Simultaneous RNA-Seq-based transcript identification and quantification in multiple samples | Zendy

Jonas Behr | Zendy; André Kahles | Zendy; 義夫 田中 | Zendy; Vipin T. Sreedharan | Zendy; Philipp Drewe | Zendy; Gunnar Rätsch | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

MITIE: Simultaneous RNA-Seq-based transcript identification and quantification in multiple samples

Author(s) -

Jonas Behr,

André Kahles,

義夫田中,

Vipin T. Sreedharan,

Philipp Drewe,

Gunnar Rätsch

Publication year - 2013

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/btt442

Subject(s) - computational biology , rna seq , transcriptome , biology , identification (biology) , computer science , genome , gene , genetics , gene expression , botany

High-throughput sequencing of mRNA (RNA-Seq) has led to tremendous improvements in the detection of expressed genes and reconstruction of RNA transcripts. However, the extensive dynamic range of gene expression, technical limitations and biases, as well as the observed complexity of the transcriptional landscape, pose profound computational challenges for transcriptome reconstruction.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research