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Hybkit: a Python API and command-line toolkit for hybrid sequence data from chimeric RNA methods.
Stribling, Daniel; Gay, Lauren A; Renne, Rolf.
Afiliação
  • Stribling D; Department of Molecular Genetics and Microbiology, University of Florida, Gainesville, FL 32610, United States.
  • Gay LA; UF Genetics Institute, University of Florida, Gainesville, FL 32610, United States.
  • Renne R; UF Health Cancer Center, University of Florida, Gainesville, FL 32610, United States.
Bioinformatics ; 39(12)2023 12 01.
Article em En | MEDLINE | ID: mdl-38006335
ABSTRACT

SUMMARY:

Experimental methods using microRNA/target ligation have recently provided significant insights into microRNA functioning through generation of chimeric (hybrid) RNA sequences. Here, we introduce Hybkit, a Python3 API, and command-line toolkit for analysis of hybrid sequence data in the "hyb" file format to enable customizable evaluation and annotation of hybrid characteristics. The Hybkit API includes a suite of python objects for developing custom analyses of hybrid data as well as miRNA-specific analysis methods, built-in plotting of analysis results, and incorporation of predicted miRNA/target interactions in Vienna format. AVAILABILITY AND IMPLEMENTATION Hybkit is provided free and open source under the GNU GPL license at github.com/RenneLab/hybkit and archived on Zenodo (doi.org/10.5281/zenodo.7834299). Hybkit distributions are also provided via PyPI (pypi.org/project/hybkit), Conda (bioconda.github.io/recipes/hybkit/README.html), and Docker (quay.io/repository/biocontainers/hybkit).
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / MicroRNAs Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / MicroRNAs Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos