borf · PyPI

ORF predictions from .fa files

These details have not been verified by PyPI

Project description

Better ORF predictions

Fast and flexible ORF prediction in python with appropriate defaults for de novo assembled transcripts.

pip install borf

For basic usage, run borf with an input fasta formatted file as the first argument.

borf input.fa

For a more detailed guide on usage, please see the wiki https://github.com/betsig/borf/wiki

These details have not been verified by PyPI

This version

1.2

Nov 4, 2019

1.1

Oct 9, 2019

1.0.1

Oct 7, 2019

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Nov 4, 2019 Source

Details for the file borf-1.2.tar.gz.

Download URL: borf-1.2.tar.gz
Upload date: Nov 4, 2019
Size: 36.5 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

Hashes for borf-1.2.tar.gz
Algorithm	Hash digest
SHA256	`0d54614834545ff7898d64aef5af514db731e4d1b66eae1f53c8e172f6e2fa08`
MD5	`9e52be5b7539d95428d7a5f0ed3c4575`
BLAKE2b-256	`ef2d1684f9a10e027d7012ae5abad320f7afaebde43e373f99e56cced193b5e3`