Metagenome-Assembled Genome: SRR17382073_bin.2_MetaWRAP_v1.3_MAG
Acinetobacter junii
This sample represents a Third Party Annotation (TPA) metagenome-assembled genome assembled from the metagenomic run SRR17382073 of study SRP352907.
ENA-FIRST-PUBLIC
2023-07-13T20:35:01Z
ENA-LAST-UPDATE
2023-07-13T20:35:01Z
External Id
SAMEA114066204
INSDC center alias
EMG
INSDC center name
EMG
INSDC first public
2023-07-13T20:35:01Z
INSDC last update
2023-07-13T20:35:01Z
INSDC status
public
Submitter Id
SRR17382073_bin.2_MetaWRAP_v1.3_MAG
assembly quality
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly software
metaspades v3.15.3
binning parameters
MaxBin2, MetaBat2, Concoct with default parameter of the metaWRAP pipeline. Bin refinement module used from metaWRAP with default parameters.
binning software
MetaWRAP v1.3
broad-scale environmental context
Human digestive system
broker name
EMG broker account, EMBL-EBI
collection date
2019-12
completeness score
99.62
completeness software
CheckM
contamination score
0.0
environmental medium
faeces
geographic location (country and/or sea)
not provided
geographic location (latitude)
not provided
geographic location (longitude)
not provided
investigation type
metagenome-assembled genome
isolation_source
human feces metagenome
local environmental context
colon
metagenomic source
human feces metagenome
project name
The analysis of human gut virome of a previously unexplored ethnic population through metagenomics of faecal samples collected from individuals residing in Northern India.
sample derived from
SAMN24450335
sample name
SRR17382073_bin.2_MetaWRAP_v1.3_MAG
scientific_name
Acinetobacter junii
sequencing method
Illumina HiSeq X
taxonomic classification
The taxonomy of this Metagenome-Assembled Genome was originally computed with GTDBtk, which assigned the following taxonomic annotation: d__Bacteria;p__Proteobacteria;c__Gammaproteobacteria;o__Pseudomonadales;f__Moraxellaceae;g__Acinetobacter;s__Acinetobacter junii
taxonomic identity marker
multi-marker approach