Detecting copy number alterations in RNA-Seq using SuperFreq | Zendy

Christoffer Flensburg | Zendy; Alicia Oshlack | Zendy; Ian J. Majewski | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Detecting copy number alterations in RNA-Seq using SuperFreq

Author(s) -

Christoffer Flensburg,

Alicia Oshlack,

Ian J. Majewski

Publication year - 2021

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/btab440

Subject(s) - rna seq , computer science , copy number variation , computational biology , biology , genetics , gene , transcriptome , genome , gene expression

Calling copy number alterations (CNAs) from RNA sequencing (RNA-Seq) is challenging, because of the marked variability in coverage across genes and paucity of single nucleotide polymorphisms (SNPs). We have adapted SuperFreq to call absolute and allele sensitive CNAs from RNA-Seq. SuperFreq uses an error-propagation framework to combine and maximize information from read counts and B-allele frequencies.

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