biofile-kit 0.0.2

Bioinformatics File Operations Toolkit.

Introduction

BioFileKit: A Python command-line toolkit dedicated to simplifying the reading, writing, conversion, parsing and basic operations of various biological data file formats.

Install

pip install biofile-kit

Usage example

Generate random nucleotide sequences

fasta_tools random_nucl -n seq1,seq2 -l 1000,1200

>seq1 length=1000
CGCCAGGCCTGCCCTGCGACGGAGGTTCCCCGTATGACTGCCCTATATCATTCCTGCTAAACTCAATCCACAAGATCAATTCACTCCGGGGAACAACTGCCACTAGAAACCGTAGGTTACCATCAATAGTTCCCCACTTGGAGGAAGAAGTCTTTGAAGCAGGTTGTCATCCAGCATTCTTTCTAAACGTCATTGGACATAGGGGTAAGCTCATATCCTCTCCCAACCATTCAGAAGTCCATGACCATGTCCGGTGCAAATTTGAAAGTCATGATGGTGAGGGAGCAAGAGAGCGCAGATCACGGATAAGTATTAAAAAGTGCTGTCGAGGCCGCAGTGGAAGTGACTAATTGGCTGATGCACGGACCTCCAGTGTACAGCTCATGTTTCAGGTGCGTCGGACTGTCAGTGACTCAATTTTCTGGGCCCAACTCCGCGTTCGGTGGATTAGTAACTATAGTGGTTGCATGAGGTACTGAGATTGAGCCGTGAAAAGCATTCAAAGTGCGGTTCCTCAACCTATTATTATTAAGACATAAGTTTGCTAGCGCTTTGTTGCAATCGTGTCGTGGAATGCGATTGATGCTTAGCAGTTTCCGGGAAGTACGGACTCATGCCGTTATGTGCGCCAACAAACAGCGCGTGTTTCATTTCGCGCCGGTCGCCTGGCGCGTGTTATGGGATCGCACTTCACCGTGCTGATATCGCTGAGGCGAGGGTTCCTCGAGATATTGGCTTGGCTCGCCAGGCAGTAGTCGTGGTCAGCCCGACTTGGCACGCTAAAGACGAGCCCACGTGCATTCGGTCGGAATCAGTTAGACGTCGAACGATTCGATCCAGCGTGAGGCCTATCCTTTGCCCATTTAACTCCGTATTCACGGTCTCCTTGATACATAGTGTACTTAGTGTTACCAGCGAACTCCGACGCGGACAGTGTCCTCGGAGTATTACCTCCAAAGAAATTCTCGGGCCGAACAGCGTAGTCTATACCGCCTGGGTG
>seq2 length=1200
ATAGGTGTAGTGTGTCTTCATCTTGATGTAAGTTCGTTCACCCAGATCTGCTAAAACGCATGGCATTTTTTTCGCATACGGTCCACTGGCACTATATGATTCCCAGTACTTCGCAGATTTGGGGGGGTAAGAGTCCGCGGAAGCGTTGTTCTGACGCGTACGCATGTTCGGTATTTTTTACGGGTGAGTTGCATCGGTTGTGTATTGGTCCATGTTAAGACGGTTATCGGGCAGGCTTCTCAATGCGGTGAGTCGGGAAGACACTAGCCAGCGAAATTATGTGATCGCTGGAATAGGATCGATGTAGCAACGACACTTTCCTGGCCTACAGACGGACTTGGACCGGATCAATCGTCTTATATAATAATACACGTCGCAGAACGGTCTGTGTATAGGACCGGTAGAATGAGTAGTTCATACTCCGGCCCGCAGGTACCCCTGTACGCATGAAAGTCCAAGCTCTCGCTGAACCGACACCTCTAGCCGAGGTACGTATGCATGACCTGGTTGTTCTCTTCGGGTCACGACAGTTGCCTATTTACGCTCGGATACCAGGAAACTTTGCCGGGAGTTCGCCCCCAGTAGTTCCCGGGTTGGGGTCGGGGTGTTCTGCCGATTACCGGATGTATCTCACCTGAGATTCAGCATCGGTGCGAACATCGTGAATCCTAAAGGTTGAACAAAGGAAGGCCTCCATGCGTTGGAAAGTCCTCGAAGTGGAGAAGTCTATCGTAGATCAACCGATAGGCAATGAAAAGAAAAAGCGCAACAGACGCCACGCTTCTAGATCGCAGTTGGCCTTTTAATGGCGAATCCATTTACCGAGCGAAGAAAAAGCCTGGCTAGCTTGTTTAAAACTGGTAACACTGAATCTCCGAAAGAGTAGCTATAGGCTCCCAGCACAGCCTGCGGCTGGCGCCAACGCCTAACGAAAATGCCAATCCACTTAGTTGTGTTAACTGTCTCCCCACTATATGCGGCTTACCAGGGAGTGTAATTTCTGGCGATGACCAGCGTTTCCTTTGGGTTCCGTCGAATTCCTTAGATCTAGGACAGCAGTTCGAATTACTTGGCGTGGTCGCATCAGGACTTCGCGTAGTGGCTATCCAGATCATAGACTGAGTCACGTATTTGACGCCAGACCTAAGACCCCACGATGGTTTCTAGTCGTAACTTGAGTGAGCTAGCTCGCCTCGTGTC

ORF prediction

fasta_tools random_nucl -n seq1,seq2 -l 1000,1200 | fasta_tools ORF_finder -c -

>seq1 length=42 ORF_prediction
MRLMLSSFREVRTHAVMCANKQRVFHFAPVAWRVLWDRTSPC*
>seq2 length=87 ORF_prediction
MIWIATTRSPDATTPSNSNCCPRSKEFDGTQRKRWSSPEITLPGKPHIVGRQLTQLSGLAFSLGVGASRRLCWEPIATLSEIQCYQF*