bioRxivBioinformaticsPreprint
SQuIRE: Software for Quantifying Interspersed Repeat Elements
Wan Rou Yang, Daniel ArdeljaniD, Clarissa N. PacynaiD, Lindsay M. PayeriD, Kathleen H. BurnsiD
Abstract
Transposable elements are interspersed repeat sequences that make up much of the human genome. Conventional approaches to RNA-seq analysis often exclude these sequences, fail to optimally adjudicate read alignments, or align reads to interspersed repeat consensus sequences without considering these transcripts in their genomic contexts. As a result, repetitive sequence contributions to transcriptomes are not well understood. Here, we present Software for Quantifying Interspersed Repeat Expression (SQuIRE), an RNA-seq analysis pipeline that integrates repeat and genome annotation (RepeatMasker), read alignment (STAR), gene expression (StringTie) and differential expression (DESeq2). SQuIRE uniquely provides a locus-specific picture of interspersed repeat-encoded RNA expression. SQuIRE can be downloaded at (github.com/wyang17/SQuIRE).
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: software / tool
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 0
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