Overview
The featurExtract is a python package for genome feature extraction in bioinformatics.
The package contains two useful executable command programs. The first executable program
is featurExtract including ten subroutines termed create, gene, promoter, UTR, uORF, CDS,
dORF, exon, intron, intergenic. The second executable program is create that is used for
creating database. The promoter subroutine is used for extracting promoter sequence. The
uORF subroutine is used for extracting upstream open reading frames sequence. The UTR
subroutine is used for extracting untranslated region sequence. The CDS subroutine is used
for extracting coding sequence. The intergenic subroutine is used for extracting intergenic
sequence between two genes. The second executable program is genBankExtract including
four subroutines termed gene, CDS, rRNA, tRNA.
Brief introduction of featurExtract package
Install
Two way offer to install featurExtract module.
install command line
pip install featurExtract
# other
git clone https://github.com/SitaoZ/featurExtract.git
cd featurExtract
python setup.py install
Requirements
python >= 3.7.6 python
pandas >= 1.2.4 pandas
gffutils >= 0.10.1 gffutils
setuptools >= 49.2.0 setuptools
biopython >= 1.78 biopython
Usage
featurExtract is designed for GFF and GTF file
and GenBankExtract is suited for GenBank file.
featurExtract
# gff or gtf database
which featurExtract
featurExtract -h
featurExtract create -h
featurExtract promoter -h
featurExtract UTR -h
featurExtract uORF -h
featurExtract CDS -h
featurExtract dORF -h
featurExtract exon -h
featurExtract intron -h
featurExtract intergenic -h
genBankExtract
# GenBank database
which genBankExtract
genBankExtract -h
genBankExtract gene -h
genBankExtract CDS -h
genBankExtract rRNA -h
genBankExtract tRNA -h
Examples
featurExtract
# step 1 create database
featurExtract create -f GFF -g ath.gff3 -o ath
# step 2 command
# promoter whole genome
featurExtract promoter -d ath.GFF -f ath.fa -l 200 -u 100 -o promoter.csv --output_format fasta
# promoter one gene to stdout
featurExtract promoter -d ath.GFF -f ath.fa -l 200 -u 100 -g AT1G01010 -p --output_format fasta
featurExtract UTR -d ath.GFF -f ath.fa -o UTR.csv -s GFF
featurExtract uORF -d ath.GFF -f ath.fa -o uORF.csv -s GFF
featurExtract CDS -d ath.GFF -f ath.fa -o CDS.csv -s GFF
featurExtract mRNA -d ath.GFF -f ath.fa -o mRNA.fasta -s GFF --output_format fasta
featurExtract exon -d ath.GFF -f ath.fa -t AT1G01010.1 -p -s GFF
featurExtract intron -d ath.GFF -f ath.fa -t AT1G01010.1 -p -s GFF
genBankExtract
# GenBank step 3
genBankExtract gene -g NC_000932.gb -f dna -p
genBankExtract CDS -g NC_000932.gb -f dna -p
genBankExtract rRNA -g NC_000932.gb -f dna -p
genBankExtract tRNA -g NC_000932.gb -f dna -p
Metadata
Release files for featurExtract 0.2.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| featurExtract-0.2.6.0.tar.gz | 38.9 kB | Without provenance | Details for featurExtract-0.2.6.0.tar.gz |
Release files / featurExtract-0.2.6.0.tar.gz
| Download URL | featurExtract-0.2.6.0.tar.gz |
|---|---|
| Size | 38.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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