https://github.com/cancerit/autocsa

LEGACY: AutoCSA (Automatic Comparative Sequence Analysis) is a mutation detection program designed to detect small mutations (1-50 bases) in capillary sequence traces. The software is capable of detecting both homozygous and heterozygous base substitutions, as well as small insertions and deletions, to a high sensitivity.

https://github.com/cancerit/autocsa

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: ncbi.nlm.nih.gov
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.0%) to scientific vocabulary

Keywords

cancer-genomics capillary-sequence-traces legacy substitutions unsupported
Last synced: 10 months ago · JSON representation

Repository

LEGACY: AutoCSA (Automatic Comparative Sequence Analysis) is a mutation detection program designed to detect small mutations (1-50 bases) in capillary sequence traces. The software is capable of detecting both homozygous and heterozygous base substitutions, as well as small insertions and deletions, to a high sensitivity.

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cancer-genomics capillary-sequence-traces legacy substitutions unsupported
Created over 10 years ago · Last pushed over 8 years ago
Metadata Files
Readme License

README.md

AutoCSA

Java based trace file mutation detection capable of detecting both homozygous and heterozygous base substitutions, as well as small insertions and deletions, to a high sensitivity in capillary sequence traces.

Usage

For installation and run instructions see the wiki

Publication

Bioinformatics. 2007 Jul 1;23(13):1689-91. Epub 2007 May 7. AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes. Dicks E, Et al.

API

click here for the AutoCSA API

LICENSE

CGP Software License

Copyright © 2006 Genome Research Ltd. Author: Cancer Genome Project, cgpit@sanger.ac.uk

This software is provided "as is", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and noninfringement. In no event shall the authors or copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.

This code is free software; you can redistribute it and/or modify it under the terms of the BSD License.

Any redistribution or derivation in whole or in part including any substantial portion of this code must include this copyright and permission notice.

Owner

  • Name: CASM IT
  • Login: cancerit
  • Kind: organization
  • Email: cgpit@sanger.ac.uk
  • Location: Hinxton, Cambridge, UK

CASM IT provide bioinformatic support for Cancer, Ageing and Somatic Mutation group at the Wellcome Sanger Institute

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