orfipy: a fast and flexible tool for extracting ORFs
Author(s) -
Urminder Singh,
Eve Syrkin Wurtele
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/btab090
Subject(s) - orfs , python (programming language) , computer science , transcriptome , open reading frame , coding (social sciences) , genome , task (project management) , software , computational biology , programming language , biology , gene , genetics , gene expression , statistics , mathematics , peptide sequence , management , economics
Searching for open reading frames is a routine task and a critical step prior to annotating protein coding regions in newly sequenced genomes or de novo transcriptome assemblies. With the tremendous increase in genomic and transcriptomic data, faster tools are needed to handle large input datasets. These tools should be versatile enough to fine-tune search criteria and allow efficient downstream analysis. Here we present a new python based tool, orfipy, which allows the user to flexibly search for open reading frames in genomic and transcriptomic sequences. The search is rapid and is fully customizable, with a choice of FASTA and BED output formats.
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