fitgcp 0.0.20150429-3 source package in Ubuntu

Changelog

fitgcp (0.0.20150429-3) unstable; urgency=medium

  * Use 2to3 to port to Python3
    Closes: #936518
  * debhelper-compat 12
  * Standards-Version: 4.4.0
  * Secure URI in copyright format

 -- Andreas Tille <email address hidden>  Tue, 10 Sep 2019 08:58:14 +0200

Upload details

Uploaded by:
Debian Med on 2019-09-10
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release on 2019-10-25 universe misc

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File Size SHA-256 Checksum
fitgcp_0.0.20150429-3.dsc 2.0 KiB 7309bc9a48f6171fcb619bf56256f43d2b354bbc07677402fb65d869cf7e6f51
fitgcp_0.0.20150429.orig.tar.xz 8.2 KiB f18c9c2155dcf7eaf0bedd349d6accbe051110a6958478fcb58507cfa062390e
fitgcp_0.0.20150429-3.debian.tar.xz 6.3 KiB e7900f3f999baef06668783a5d2ef3a5de5e76f10bd7af2f9a02f3029a848596

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Binary packages built by this source

fitgcp: fitting genome coverage distributions with mixture models

 Genome coverage, the number of sequencing reads mapped to a position in
 a genome, is an insightful indicator of irregularities within sequencing
 experiments. While the average genome coverage is frequently used within
 algorithms in computational genomics, the complete information available
 in coverage profiles (i.e. histograms over all coverages) is currently
 not exploited to its full extent. Thus, biases such as fragmented or
 erroneous reference genomes often remain unaccounted for. Making this
 information accessible can improve the quality of sequencing experiments
 and quantitative analyses.
 .
 fitGCP is a framework for fitting mixtures of probability distributions
 to genome coverage profiles. Besides commonly used distributions, fitGCP
 uses distributions tailored to account for common artifacts. The mixture
 models are iteratively fitted based on the Expectation-Maximization
 algorithm.