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
- Sponsored by:
- Graham Inggs
- Uploaded to:
- Bionic
- Original maintainer:
- Debian Med
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Bionic | updates | universe | misc |
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 |
Available diffs
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