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smalldisco, a pipeline for siRNA discovery and 3' tail identification.
Caldas, Ian V; Kelley, Leanne H; Ahmed-Braimah, Yasir H; Maine, Eleanor M.
Afiliación
  • Caldas IV; Department of Molecular Biology and Genetics, Cornell University, 526 Campus Rd, Ithaca, NY 14850, USA.
  • Kelley LH; Department of Biology, Syracuse University, 107 College Place, Syracuse, NY 13210, USA.
  • Ahmed-Braimah YH; Department of Biology, Syracuse University, 107 College Place, Syracuse, NY 13210, USA.
  • Maine EM; Department of Biology, Syracuse University, 107 College Place, Syracuse, NY 13210, USA.
G3 (Bethesda) ; 13(6)2023 06 01.
Article en En | MEDLINE | ID: mdl-37094819
ABSTRACT
Capturing and sequencing small RNAs is standard practice; however, identification of a group of these small RNAs-small interfering RNAs (siRNAs)-has been more difficult. We present smalldisco, a command-line tool for small interfering RNA discovery and annotation from small RNA-seq datasets. smalldisco can distinguish short reads that map antisense to an annotated genomic feature (e.g. exons or mRNAs), annotate these siRNAs, and quantify their abundance. smalldisco also uses the program Tailor to quantify 3' nontemplated nucleotides of siRNAs or any small RNA species. smalldisco and supporting documentation are available for download from GitHub (https//github.com/ianvcaldas/smalldisco) and archived in Zenodo (https//doi.org/10.5281/zenodo.7799621).
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma / Genómica Tipo de estudio: Diagnostic_studies Idioma: En Revista: G3 (Bethesda) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma / Genómica Tipo de estudio: Diagnostic_studies Idioma: En Revista: G3 (Bethesda) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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