SRR28267178 · Gut microbiome
Metagenome or environmental sample from gut metagenome
complete
Gut analysis is paused. Unfinished samples are not negative results. This is a mixed-host collection, not a curated human-only cohort.
Open interactive sample report
Taxonomic abundances
| Species | Genus | Abundance (%) |
|---|---|---|
| Kocuria rosea | Kocuria | 11.6392 |
| Kocuria varians | Kocuria | 8.3670 |
| Chryseobacterium indologenes | Chryseobacterium | 6.9098 |
| Granulicatella balaenopterae | Granulicatella | 5.3855 |
| Corynebacterium bovis | Corynebacterium | 5.2485 |
| Neisseria dentiae | Neisseria | 3.6769 |
| Gallicola barnesae | Gallicola | 2.8863 |
| Corynebacterium matruchotii | Corynebacterium | 2.8566 |
| Peptostreptococcus anaerobius | Peptostreptococcus | 2.8337 |
| Neisseria lactamica | Neisseria | 2.7552 |
| Corynebacterium argentoratense | Corynebacterium | 2.6924 |
| Tessaracoccus aquimaris | Tessaracoccus | 2.2726 |
| Sphingobacterium thalpophilum | Sphingobacterium | 2.0416 |
| Tessaracoccus flavus | Tessaracoccus | 1.9036 |
| Granulicatella adiacens | Granulicatella | 1.7907 |
| Obesumbacterium proteus | Obesumbacterium | 1.6012 |
| Corynebacterium resistens | Corynebacterium | 1.5124 |
| Sphingobacterium multivorum | Sphingobacterium | 1.4807 |
| Corynebacterium ammoniagenes | Corynebacterium | 1.4421 |
| Corynebacterium amycolatum | Corynebacterium | 1.3437 |
| Paracoccus kondratievae | Paracoccus | 1.3350 |
| Paracoccus aestuarii | Paracoccus | 1.3230 |
| Corynebacterium striatum | Corynebacterium | 1.2700 |
| Neisseria animalis | Neisseria | 1.1233 |
| Sphingobacterium mizutaii | Sphingobacterium | 1.0966 |
| Kocuria indica | Kocuria | 0.9874 |
| Bacteroides timonensis | Bacteroides | 0.9375 |
| Luteipulveratus halotolerans | Luteipulveratus | 0.9059 |
| Fusobacterium nucleatum | Fusobacterium | 0.8988 |
| Neisseria polysaccharea | Neisseria | 0.8867 |
| Neisseria meningitidis | Neisseria | 0.8805 |
| Kocuria rhizophila | Kocuria | 0.8772 |
| Corynebacterium jeikeium | Corynebacterium | 0.8530 |
| Fusobacterium periodonticum | Fusobacterium | 0.8312 |
| Glutamicibacter creatinolyticus | Glutamicibacter | 0.7962 |
| Clostridium thermosuccinogenes | Clostridium | 0.7901 |
| Pseudomonas aeruginosa | Pseudomonas | 0.7479 |
| Corynebacterium kutscheri | Corynebacterium | 0.7256 |
| Sphingobacterium spiritivorum | Sphingobacterium | 0.6797 |
| Tessaracoccus lubricantis | Tessaracoccus | 0.6175 |
| Vagococcus martis | Vagococcus | 0.6124 |
| Vagococcus entomophilus | Vagococcus | 0.5882 |
| Vagococcus fluvialis | Vagococcus | 0.5571 |
| Campylobacter sputorum | Campylobacter | 0.5267 |
| Shewanella canadensis | Shewanella | 0.4861 |
| Corynebacterium casei | Corynebacterium | 0.4783 |
| Tessaracoccus profundi | Tessaracoccus | 0.4768 |
| Parabacteroides merdae | Parabacteroides | 0.4740 |
| Paracoccus versutus | Paracoccus | 0.4600 |
| Corynebacterium ureicelerivorans | Corynebacterium | 0.4572 |
| Shewanella sediminis | Shewanella | 0.4516 |
| Corynebacterium glyciniphilum | Corynebacterium | 0.4358 |
| Tessaracoccus flavescens | Tessaracoccus | 0.4179 |
| Glutamicibacter soli | Glutamicibacter | 0.4152 |
| Corynebacterium pilosum | Corynebacterium | 0.4104 |
| Vagococcus acidifermentans | Vagococcus | 0.3993 |
| Chryseobacterium carnis | Chryseobacterium | 0.3798 |
| Shewanella hanedai | Shewanella | 0.3790 |
| Kocuria subflava | Kocuria | 0.3363 |
| Corynebacterium afermentans | Corynebacterium | 0.3296 |
| Sphingobacterium cellulitidis | Sphingobacterium | 0.3266 |
| Propioniciclava sinopodophylli | Propioniciclava | 0.3055 |
| Janibacter hoylei | Janibacter | 0.2950 |
| Neisseria subflava | Neisseria | 0.2846 |
| Arcobacter trophiarum | Arcobacter | 0.2679 |
| Fusobacterium ulcerans | Fusobacterium | 0.2459 |
Saved public metadata
{
"run_accession": "SRR28267178",
"study_accession": "PRJNA1082425",
"sample_accession": "SAMN40210624",
"instrument_platform": "OXFORD_NANOPORE",
"instrument_model": "GridION",
"library_strategy": "AMPLICON",
"library_source": "GENOMIC",
"library_selection": "PCR",
"read_count": "185703",
"base_count": "305118104",
"fastq_bytes": "257918805",
"fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/078/SRR28267178/SRR28267178_1.fastq.gz",
"sample_title": "Metagenome or environmental sample from gut metagenome",
"scientific_name": "gut metagenome"
}Public files
Analysis provenance
{
"marker": "16S",
"pipeline": "Archaions v18.8",
"cohort": "Gut, mixed hosts; not curated as a human-only cohort",
"execution_state": "paused_by_user",
"sample_state": "complete",
"read_sampling": "First available reads; not random subsampling",
"input_sha256": "5e994276557408ebd8e0bce7be98893d11480f6f4a7d0536b93e6f70caa96827",
"length_window_bp": [
1200,
2000
],
"median_read_length": 1650.0,
"quality_scores": "No measured quality scores in fetched FASTA",
"classifier_stats": {
"marker": "16s",
"pipeline": "v18.8",
"gpu": "RTX-PRO-6000",
"input_path": "volume-fastq-gz",
"reads_in": 20000,
"reads_skipped": 10169,
"elapsed_seconds": 1.6798204869992333,
"reads_submitted": 20000,
"reads_after_filter": 20000,
"adapter_scan": {
"sampled": 200,
"matched": 100,
"fraction": 0.5,
"adapters_found": {
"BC_FLANK": 10,
"RAP": 80,
"27F": 8,
"1492R_rc": 2
},
"should_trim": true
},
"porechop_ran": false,
"porechop_reason": "fast-path: no adapter trimming required"
},
"metadata_coverage": "Saved ENA run fields only. BioSample attributes, study abstracts and file MD5s have not been fetched for this panel."
}