IsoMiRmap: fast, deterministic and exhaustive mining of isomiRs from short RNA-seq datasets | Zendy

Phillipe Loher | Zendy; Nestoras Karathanasis | Zendy; Eric Londin | Zendy; Paul F. Bray | Zendy; Venetia Pliatsika | Zendy; Aristeidis G. Telonis | Zendy; Isidore Rigoutsos | Zendy

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IsoMiRmap: fast, deterministic and exhaustive mining of isomiRs from short RNA-seq datasets

Author(s) -

Phillipe Loher,

Nestoras Karathanasis,

Eric Londin,

Paul F. Bray,

Venetia Pliatsika,

Aristeidis G. Telonis,

Isidore Rigoutsos

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/btab016

Subject(s) - computational biology , computer science , identifier , laptop , rna seq , data mining , genetics , biology , transcriptome , gene , gene expression , programming language , operating system

MicroRNA (miRNA) precursor arms give rise to multiple isoforms simultaneously called 'isomiRs.' IsomiRs from the same arm typically differ by a few nucleotides at either their 5' or 3' termini or both. In humans, the identities and abundances of isomiRs depend on a person's sex and genetic ancestry as well as on tissue type, tissue state and disease type/subtype. Moreover, nearly half of the time the most abundant isomiR differs from the miRNA sequence found in public databases. Accurate mining of isomiRs from deep sequencing data is thus important.

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