SeqCode Registry
cognitis nomina
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Genomes
sc|0001587
JSON
Genome sc|0001587
Name
Litorirhabdus singularis
Ts
Database
INSDC Nucleotide
Accession
SHNN00000000.1
Genomics
Accession
INSDC Nucleotide:
SHNN00000000.1
Type
Isolate Genome
Estimated Quality Metrics
Completeness:
96.91%
Contamination:
1.52%
Quality:
89.31
Ribosomal and transfer RNA genes
1 16S rRNA (up to 100.0%)
1 23S rRNA (up to 100.0%)
tRNAs for 21 amino acids
Sequencing depth
260.4 ×
Source
BioSample: SAMN10929371
Other features
G+C Content:
54.2%
Coding Density:
91.48%
Codon Table:
11
N50:
1,315,042 bp
Contigs:
20
Largest Contig:
1,895,525 bp
Assembly Length:
4,835,928 bp
Ambiguous Assembly Fraction:
0.0%
Automated checks
Complete
Sample Metadata
Date
Collection Date:
2010-08-31
Location
Lat Lon:
38.23 N 128.69 E
Toponym
Geo Loc Name:
South Korea
Environment
Env Broad Scale:
mairne coastal biomes
Env Local Scale:
surface layer
Env Medium:
seawater
Other
Depth:
10 m
Package
Ncbi Submission Package:
MIGS.ba.water.6.0
Biosamplemodel:
MIGS.ba
All retrieved samples
SAMN10929371
: MIGS Cultured Bacterial/Archaeal sample from Candidatus Litorirhabdus singularis
Metadata retrieved
8 months ago
© 2022-2024 The SeqCode Initiative
All information contributed to the SeqCode Registry is released under the terms of the
Creative Commons Attribution (CC BY) 4.0
license
Automated Estimates
×
This genome was automatically retrieved and processed using MiGA (The Microbial Genomes Atlas)
[1]
, and the estimate has not been overridden by the submitter.
Rodriguez-R et al, 2018, NAR.
DOI: 10.1093/nar/gky467
SAMN10929371
×
Keywords: GSC:MIxS;MIGS:6.0
strain
IMCC14734
collection_date
2010-08-31
isol_growth_condt
cultivation in low-nutrient heterotrophic medium (LNHM) at 18 degC
ref_biomaterial
https://link.springer.com/article/10.1007%2Fs00248-015-0695-3
organism
Candidatus Litorirhabdus singularis
env_broad_scale
mairne coastal biomes
env_local_scale
surface layer
NCBI submission package
MIGS.ba.water.6.0
depth
10 m
num_replicons
1
geo_loc_name
South Korea
env_medium
seawater
lat_lon
38.23 N 128.69 E
BioSampleModel
MIGS.ba
ENA-FIRST-PUBLIC
2022-11-23
ENA-LAST-UPDATE
2023-04-13
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