Bacteroides uniformis
ENA first public
2024-09-21
INSDC center name
EMBL Heidelberg
INSDC status
public
Submitter Id
spire_mag_00969142
assembly quality
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly software
megahit 1.2.9
binning parameters
default
binning software
metabat 2.12.1
broad-scale environmental context
human digestive system
broker name
EBI-EMG
collection date
2013
completeness score
88.78
completeness software
checkm2 0.1.3
contamination score
2.21
environmental medium
stool
geographic location (country and/or sea)
United Kingdom
geographic location (latitude)
51.50000000
geographic location (longitude)
-0.12000000
investigation type
metagenome-assembled genome
isolation_source
human gut metagenome
local environmental context
human gut
metagenomic source
human gut metagenome
project name
Nextera XT libraries were prepared manually following the manufacturers' protocol (Illumina, PN. 15031942). Briefly, samples were normalized to 0.2 ng/ml DNA material per library using a Quant-iT picogreen assay system (Life Technologies, PN. Q33120) on an AF2200 plate reader (Eppendorf), then fragmented and tagged via tagmentation. Amplification was performed by Veriti 96 well PCR (Applied Biosystems) followed by AMPure XP bead cleanup (Beckman Coulter, PN. A63880). Fragment size for all libraries was measured using a Labchip GX Touch HiSens. Sequencing was performed on an Illumina HiSeq 2500 using SBS kit V4 Chemistry, with a read length of 2x125 bp. Metadata on TwinsUK twin participants are available to bona fide researchers under managed access due to governance and ethical constraints. Raw data should be requested via our website (http://twinsuk.ac.uk/resources-for-researchers/access-our-data/) and requests are reviewed by the TwinsUK Resource Executive Committee (TREC) regularly.
sample derived from
SAMEA5814298
sample name
spire_mag_00969142
scientific_name
Bacteroides uniformis
sequencing method
Illumina HiSeq 2500
taxonomic identity marker
multi-marker approach