metaphlan 4.0.4-1 source package in Ubuntu
Changelog
metaphlan (4.0.4-1) unstable; urgency=medium * New upstream version * Standards-Version: 4.6.2 (routine-update) -- Andreas Tille <email address hidden> Wed, 01 Feb 2023 15:09:53 +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 | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | misc | |
| Noble | release | universe | misc | |
| Mantic | release | universe | misc | |
| Lunar | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| metaphlan_4.0.4-1.dsc | 2.0 KiB | 6277823f57666820e4e0c0f03fd627ace2812be8790ebd0277e8d26632ad8a77 |
| metaphlan_4.0.4.orig.tar.gz | 1.8 MiB | 3eccd2d76fd137cd113fb35700452aa215b5f0af32f4e1173c1db6366d0ac304 |
| metaphlan_4.0.4-1.debian.tar.xz | 447.5 KiB | e70a8a0acf7e032cf217dadf9b8312ba40b4be3f344daae1fc80b8bb3fadb2a7 |
Available diffs
- diff from 4.0.3-1 to 4.0.4-1 (7.7 KiB)
No changes file available.
Binary packages built by this source
- metaphlan: Metagenomic Phylogenetic Analysis
MetaPhlAn is a computational tool for profiling the composition of
microbial communities (Bacteria, Archaea and Eukaryotes) from
metagenomic shotgun sequencing data (i.e. not 16S) with species-level.
With the newly added StrainPhlAn module, it is now possible to perform
accurate strain-level microbial profiling.
.
MetaPhlAn relies on ~1.1M unique clade-specific marker genes (the latest
marker information file mpa_v31_CHOCOPhlAn_ 201901_ marker_ info.txt. bz2
can be found here) identified from ~100,000 reference genomes (~99,500
bacterial and archaeal and ~500 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
