Skip to main content
Python Software Foundation 20th Year Anniversary Fundraiser  Donate today!

A Data Structure for Pangenomes -- Identification of Singletons and Core Regions Dependent on Pairwise Sequence Similarities

Project description

PanCake – An annotation-independent non-database approach for pangenome analysis

PanCake is a non-databse approach for identification of singletons and core regions in arbitrary sequence sets and independent of annotation data. On the basis of pairwise sequence similarities (as provided by common sequence alignment tools) PanCake serializes pangenomes into persistent data structures providing further analysis and graphical representation. Due to sequence storage of similar subregions as edit operations, storage requirement of PanCake’s data structure is noticeably reduced in comparison to pure sequence data (e.g. FASTA format).

Copyright (c) 2013 Corinna Ernst <corinna.ernst@uni-due.de> (see LICENSE)

Project details


Download files

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

Files for pancake, version 1.1.2
Filename, size File type Python version Upload date Hashes
Filename, size pancake-1.1.2.tar.gz (84.8 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page