RNAIndel: discovering somatic coding indels from tumor RNA-Seq data.

Source: PubMed Bioinformatics (Oxford, England)

08 15, 2020;36 (14): 4231.

Kohei Hagiwara, Liang Ding, Michael N Edmonson, Stephen V Rice, Scott Newman, John Easton, Juncheng Dai, Soheil Meshinchi, Rhonda E Ries, Michael Rusch, Jinghui Zhang

Author Information

PMID: 32572447 DOI: 10.1093/bioinformatics/btaa247

No abstract text available.

Journal Article Published Erratum

RNAIndel: discovering somatic coding indels from tumor RNA-Seq data.Detecting Somatic Insertions/Deletions (Indels) Using Tumor RNA-Seq Data.Discovering single nucleotide variants and indels from bulk and single-cell ATAC-seq.Tumor genetic analysis from single-cell RNA-seq data.TopHat: discovering splice junctions with RNA-Seq.Discovering Single Nucleotide Polymorphisms Regulating Human Gene Expression Using Allele Specific Expression from RNA-seq Data.LncDC: a machine learning-based tool for long non-coding RNA detection from RNA-Seq data.Discovering circRNA-microRNA Interactions from CLIP-Seq Data.Discovering single-cell eQTLs from scRNA-seq data only.RiceNCexp: a rice non-coding RNA co-expression atlas based on massive RNA-seq and small-RNA seq data.

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RNAIndel: discovering somatic coding indels from tumor RNA-Seq data.

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RNAIndel: discovering somatic coding indels from tumor RNA-Seq data.

Abstract

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