metaphlan2 2.7.5-1ubuntu1 source package in Ubuntu

Changelog

metaphlan2 (2.7.5-1ubuntu1) bionic; urgency=medium

  * Backport a debian patch to fix installation error. (LP: #1777165)

 -- Dylan Aïssi <email address hidden>  Wed, 24 Apr 2019 21:17:24 +0200

Upload details

Uploaded by:
Dylan Aïssi on 2019-04-24
Sponsored by:
Graham Inggs
Uploaded to:
Bionic
Original maintainer:
Debian Med
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic updates on 2019-05-23 universe misc

Builds

Bionic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
metaphlan2_2.7.5.orig.tar.bz2 160.4 KiB c114392a70307f5896a60b6b48126b0fc18873b590fc1dfeba4bbbbfbcb33ee8
metaphlan2_2.7.5-1ubuntu1.debian.tar.xz 12.0 KiB 9dfa44b566bb72d218b36be0381d24c7b3d1922301ef9261da8eb8d50cfcb863
metaphlan2_2.7.5-1ubuntu1.dsc 2.0 KiB 4597eae3fcc81ade0c7749aadb7d605a1d4d4ac0ec726592198fd171d8d22c0f

View changes file

Binary packages built by this source

metaphlan2: Metagenomic Phylogenetic Analysis

 MetaPhlAn is a computational tool for profiling the composition of
 microbial communities (Bacteria, Archaea, Eukaryotes and Viruses) from
 metagenomic shotgun sequencing data with species level resolution. From
 version 2.0, MetaPhlAn is also able to identify specific strains (in the
 not-so-frequent cases in which the sample contains a previously
 sequenced strains) and to track strains across samples for all species.
 .
 MetaPhlAn 2.0 relies on ~1M unique clade-specific marker genes (the
 marker information file can be found at
 usr/share/metaphlan2/utils/markers_info.txt.bz2) identified from
 ~17,000 reference genomes (~13,500 bacterial and archaeal, ~3,500 viral,
 and ~110 eukaryotic), allowing:
 .
  * unambiguous taxonomic assignments;
  * accurate estimation of organismal relative abundance;
  * species-level resolution for bacteria, archaea, eukaryotes and
    viruses;
  * strain identification and tracking
  * orders of magnitude speedups compared to existing methods.
  * metagenomic strain-level population genomics