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sideRETRO: a pipeline for identifying somatic and polymorphic insertions of processed pseudogenes or retrocopies.
Miller, Thiago L A; Orpinelli Rego, Fernanda; Buzzo, José Leonel L; Galante, Pedro A F.
Affiliation
  • Miller TLA; Centro de Oncologia Molecular, Hospital Sírio-Libanês, São Paulo 01308-060, Brazil.
  • Orpinelli Rego F; Departmento de Bioquímica, Universidade de São Paulo, São Paulo 05508-000, Brazil.
  • Buzzo JLL; Centro de Oncologia Molecular, Hospital Sírio-Libanês, São Paulo 01308-060, Brazil.
  • Galante PAF; Centro de Oncologia Molecular, Hospital Sírio-Libanês, São Paulo 01308-060, Brazil.
Bioinformatics ; 37(3): 419-421, 2021 04 20.
Article in En | MEDLINE | ID: mdl-32717039
ABSTRACT
MOTIVATION Retrocopies or processed pseudogenes are gene copies resulting from mRNA retrotransposition. These gene duplicates can be fixed, somatically inserted or polymorphic in the genome. However, knowledge regarding unfixed retrocopies (retroCNVs) is still limited, and the development of computational tools for effectively identifying and genotyping them is an urgent need.

RESULTS:

Here, we present sideRETRO, a pipeline dedicated not only to detecting retroCNVs in whole-genome or whole-exome sequencing data but also to revealing their insertion sites, zygosity and genomic context and classifying them as somatic or polymorphic events. We show that sideRETRO can identify novel retroCNVs and genotype them, in addition to finding polymorphic retroCNVs in whole-genome and whole-exome data. Therefore, sideRETRO fills a gap in the literature and presents an efficient and straightforward algorithm to accelerate the study of bona fide retroCNVs. AVAILABILITY AND IMPLEMENTATION sideRETRO is available at https//github.com/galantelab/sideRETRO. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pseudogenes / Genomics Type of study: Prognostic_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: Brasil

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pseudogenes / Genomics Type of study: Prognostic_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: Brasil
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