Skip to main content

A pipeline for mapping insertion mutants from whole genome shotgun data

Project description

This package provides software for identifying the genome insertion points random mutants generated by insertional mutagenesis, which have been sequenced as a pool.

The package will install two executables: aimhii and extract_chimeras.

aimhii will run a full analysis starting from sequence data (a FASTQ file), genome sequence, and insert sequence. extract_chimeras just runs the last step of this analysis, assuming you already have a BAM file and a concatenated genome-insert sequence.

For details see the project website http://granek.bitbucket.org/projects/aimhii/

Changes in v0.5.4: Added –plot option to aimhii and shifted a few remaining “prints” to logging

Changes in v0.5.3: Shifted debugging prints to logging and added scripts for generating synthetic sequences

Changes in v0.5.2: Lowered pysam version requirement to allow installation using apt-get in Debian v8.

Changes in v0.5.1: Fixed problem with missing DESCRIPTION.rst.

Project details


Download files

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

Source Distribution

aimhii-0.5.4.tar.gz (17.9 kB view details)

Uploaded Source

Built Distribution

aimhii-0.5.4-py2-none-any.whl (22.2 kB view details)

Uploaded Python 2

File details

Details for the file aimhii-0.5.4.tar.gz.

File metadata

  • Download URL: aimhii-0.5.4.tar.gz
  • Upload date:
  • Size: 17.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for aimhii-0.5.4.tar.gz
Algorithm Hash digest
SHA256 a8a57b4956eb246d38908ecfc6d572f6a71b133249218c12ab03683a2b6a2947
MD5 32632887d9371666ef656e280f3aa743
BLAKE2b-256 fc3a19da5c881dbb6ebbe45bbad563c5a4e76e89d5edbda82d7ee6de53338ba8

See more details on using hashes here.

Provenance

File details

Details for the file aimhii-0.5.4-py2-none-any.whl.

File metadata

File hashes

Hashes for aimhii-0.5.4-py2-none-any.whl
Algorithm Hash digest
SHA256 6919270cdf038cb2b8acfa96713ce95fc02120579e67c88abfaee522a3e8eb99
MD5 4dac35ed6028982064afd829eadd2731
BLAKE2b-256 484b7435004bf0a12f2c958daeb0e88c6c4a4192a5b47c45f9a58c757460199c

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page