Cookie Monster
Cookie Monster is a tool for triaging the huge amounts of sequencing (and related) data by its metadata, from various sources, for opportunistic/proactive downstream processing by HGI.
Cookie Monster is a tool for triaging the huge amounts of sequencing (and related) data by its metadata, from various sources, for opportunistic/proactive downstream processing by HGI.
Sequencing pipelines generate a lot of data, which is only going to increase as time goes on. These data require further processing before being delivered to analysts. However, at the expanding rate, there is too much for one person (or even a team of people) to deal with efficiently. Given the time data can take to process, an untenable backlog builds, exacerbating the problem further.
Downloads
Cookie Monster is implemented as a Python 3.5 (or higher) module. Full source, documentation and installation instructions for which can be found on the project’s GitHub repository. The HGI implementation of Cookie Monster — with a production ruleset, etc. — can be found in its own GitHub repository.
Further information
Copyright © 2015, 2016 Genome Research Ltd.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.
Contact
If you need help or have any queries, please contact us using the details below.
Issues and bug reports can be filed via the project's GitHub repository:
Sanger Institute Contributors
Previous contributors
Irina Gabriela Colgiu
Senior Software Developer
Christopher Harrison
Senior Software Developer
Colin Nolan
Former Group Leader (Acting)
Dr Joshua C. Randall
Senior Scientific Manager