Ubuntu
metaphlan2 package

metaphlan2 2.9.22-1 source package in Ubuntu

Changelog

metaphlan2 (2.9.22-1) unstable; urgency=medium

  [ Andreas Tille ]
  * New upstream version
  * debhelper-compat 12
  * Standards-Version: 4.4.1
  * Fix watch file
  * New upstream version

  [ Steve Langasek ]
  * Patches to port to Python3
    Closes: #933661, #937016

 -- Andreas Tille <email address hidden>  Fri, 08 Nov 2019 07:50:19 +0100

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release universe misc

Builds

Focal: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
metaphlan2_2.9.22-1.dsc 2.0 KiB 49f5c03b7c18d92ee90b85216c5431558903da5d74c1ffc59cd8ce5b612e574c
metaphlan2_2.9.22.orig.tar.bz2 153.6 KiB 09adf5068c057f5711cba054312f63bf921403322d402c69233d7f0315e6f5ee
metaphlan2_2.9.22-1.debian.tar.xz 451.2 KiB 9d1986e355831cababd46d8ac46b2c4fa3dcff24f4c32308b5fb9b52ec7dfb22

No changes file available.

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