Provided by: python3-pyfaidx_0.6.4-1_all
NAME
faidx - Fetch sequences from FASTA
SYNOPSIS
faidx [-h] [-b BED] [-o OUT] [-i {bed,chromsizes,nucleotide,transposed}] [-c] [-r] [-n | -f] [-x] [-l] [-s DEFAULT_SEQ] [-d DELIMITER] [-g REGEX] [-m | -M] [--version] fasta [regions [regions ...]]
DESCRIPTION
Fetch sequences from FASTA. If no regions are specified, all entries in the input file are returned. Input FASTA file must be consistently line-wrapped, and line wrapping of output is based on input line lengths.
OPTIONS
Positional arguments fasta FASTA file regions space separated regions of sequence to fetch e.g. chr1:1-1000 Optional arguments -h, --help show this help message and exit -b BED, --bed BED bed file of regions -o OUT, --out OUT output file name (default: stdout) -i {bed,chromsizes,nucleotide,transposed}, --transform {bed,chromsizes,nucleotide,transposed} transform the requested regions into another format. default: None -c, --complement complement the sequence. default: False -r, --reverse reverse the sequence. default: False -n, --no-names omit sequence names from output. default: False -f, --full-names output full names including description. default: False -x, --split-files write each region to a separate file (names are derived from regions) -l, --lazy fill in --default-seq for missing ranges. default: False -s DEFAULT_SEQ, --default-seq DEFAULT_SEQ default base for missing positions and masking. default: N -d DELIMITER, --delimiter DELIMITER delimiter for splitting names to multiple values (duplicate names will be discarded). default: None -g REGEX, --regex REGEX regular expression for filtering non-matching sequence names. default: .* -m, --mask-with-default-seq mask the FASTA file using --default-seq default: False -M, --mask-by-case mask the FASTA file by changing to lowercase. default: False --version print pyfaidx version number
SEE ALSO
Please cite: Shirley MD, Ma Z, Pedersen BS, Wheelan SJ. (2015) Efficient "pythonic" access to FASTA files using pyfaidx. PeerJ PrePrints 3:e1196 https://dx.doi.org/10.7287/peerj.preprints.970v1