segway

a way to segment the genome

These details have not been verified by PyPI

Project links

Development Status
- 5 - Production/Stable
Intended Audience
- Science/Research
License
- OSI Approved :: GNU General Public License v2 (GPLv2)
Natural Language
- English
Operating System
- Unix
Programming Language
Topic
- Scientific/Engineering :: Bio-Informatics

Project description

Segway is a tool for easy pattern discovery and identification in functional genomics data.

Project details

These details have not been verified by PyPI

Project links

Development Status
- 5 - Production/Stable
Intended Audience
- Science/Research
License
- OSI Approved :: GNU General Public License v2 (GPLv2)
Natural Language
- English
Operating System
- Unix
Programming Language
Topic
- Scientific/Engineering :: Bio-Informatics

Release history Release notifications | RSS feed

3.0.4

Mar 11, 2022

3.0.3

Jan 22, 2021

3.0.2

Sep 2, 2020

3.0.1

Jul 23, 2020

3.0

Jan 28, 2020

2.0.5

Jun 24, 2019

2.0.4

Mar 26, 2019

This version

2.0.3

Oct 4, 2018

2.0.2

Feb 28, 2018

2.0.1

Jul 14, 2017

2.0

Jun 8, 2017

1.4.4

May 26, 2017

1.4.3

Feb 7, 2017

1.4.2

Jan 20, 2017

1.4.1

Sep 20, 2016

1.4

Apr 4, 2016

1.3.4

Mar 4, 2016

1.3.3

Mar 4, 2016

1.3.2

Dec 7, 2015

1.3.1

Oct 9, 2015

1.3

Sep 11, 2015

1.2.2

Jun 19, 2015

1.2.1

Jan 23, 2015

1.2

Aug 27, 2014

1.1.0

May 6, 2011

1.0.2

Apr 6, 2011

1.0.1

Apr 4, 2011

1.0.0

Apr 1, 2011

Download files

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

Source Distribution

segway-2.0.3.tar.gz (1.1 MB view details)

Uploaded Oct 4, 2018 Source

File details

Details for the file segway-2.0.3.tar.gz.

File metadata

Download URL: segway-2.0.3.tar.gz
Upload date: Oct 4, 2018
Size: 1.1 MB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/2.7.15

File hashes

Hashes for segway-2.0.3.tar.gz
Algorithm	Hash digest
SHA256	`b2f2c97e0ff9d064b8271554e60e954764354d04237876766e55e4e484cbb547`
MD5	`41200130690da10d8fc2320228758815`
BLAKE2b-256	`76954beac9675284edac172c23bcde6ea3e5e741f110c86f22eb16560b3d2ff0`