biology/checkm: update 1.2.0 → 1.2.2

PR:	278537
This commit is contained in:
Andrey Korobkov 2024-04-23 01:39:42 -07:00 committed by Yuri Victorovich
parent da0bf6fe7e
commit 7336b01df9
3 changed files with 15 additions and 15 deletions

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PORTNAME= CheckM
DISTVERSIONPREFIX= v
DISTVERSION= 1.2.0
PORTREVISION= 1
DISTVERSION= 1.2.2
CATEGORIES= biology python
MAINTAINER= yuri@FreeBSD.org

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TIMESTAMP = 1651427292
SHA256 (Ecogenomics-CheckM-v1.2.0_GH0.tar.gz) = 9d2f51409a72e90f1b59c811fa4d8b430051683ca0f3001aa770003f9201cd71
SIZE (Ecogenomics-CheckM-v1.2.0_GH0.tar.gz) = 1017160
TIMESTAMP = 1713784123
SHA256 (Ecogenomics-CheckM-v1.2.2_GH0.tar.gz) = a748b94e93f8d5fecfd0d5b3f17fcb119b25d4b45217e047b2fd742b21e74c0e
SIZE (Ecogenomics-CheckM-v1.2.2_GH0.tar.gz) = 1017249

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CheckM provides a set of tools for assessing the quality of genomes recovered
from isolates, single cells, or metagenomes. It provides robust estimates of
genome completeness and contamination by using collocated sets of genes that
are ubiquitous and single-copy within a phylogenetic lineage. Assessment of
genome quality can also be examined using plots depicting key genomic
characteristics (e.g., GC, coding density) which highlight sequences outside
the expected distributions of a typical genome. CheckM also provides tools for
identifying genome bins that are likely candidates for merging based on marker
set compatibility, similarity in genomic characteristics, and proximity within
a reference genome tree.
CheckM provides a set of tools for assessing the quality of genomes
recovered from isolates, single cells, or metagenomes.
It provides robust estimates of genome completeness and contamination
by using collocated sets of genes that are ubiquitous and single-copy
within a phylogenetic lineage.
Assessment of genome quality can also be examined using plots depicting
key genomic characteristics (e.g., GC, coding density) which highlight
sequences outside the expected distributions of a typical genome.
CheckM also provides tools for identifying genome bins that are likely
candidates for merging based on marker set compatibility, similarity in
genomic characteristics, and proximity within a reference genome tree.