SRR28267197 · 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 | 21.4951 |
| Kocuria varians | Kocuria | 16.9147 |
| Corynebacterium bovis | Corynebacterium | 7.5446 |
| Neisseria dentiae | Neisseria | 5.7816 |
| Neisseria lactamica | Neisseria | 5.2624 |
| Corynebacterium matruchotii | Corynebacterium | 4.2265 |
| Corynebacterium argentoratense | Corynebacterium | 2.8301 |
| Neisseria animalis | Neisseria | 2.6463 |
| Obesumbacterium proteus | Obesumbacterium | 2.4464 |
| Corynebacterium ammoniagenes | Corynebacterium | 2.2918 |
| Corynebacterium resistens | Corynebacterium | 1.8470 |
| Allofrancisella guangzhouensis | Allofrancisella | 1.8002 |
| Neisseria polysaccharea | Neisseria | 1.5425 |
| Neisseria meningitidis | Neisseria | 1.2552 |
| Kocuria rhizophila | Kocuria | 1.2347 |
| Propioniciclava sinopodophylli | Propioniciclava | 1.1903 |
| Corynebacterium amycolatum | Corynebacterium | 1.1391 |
| Kocuria indica | Kocuria | 1.1282 |
| Corynebacterium striatum | Corynebacterium | 1.0121 |
| Corynebacterium callunae | Corynebacterium | 0.9207 |
| Corynebacterium jeikeium | Corynebacterium | 0.9007 |
| Corynebacterium kutscheri | Corynebacterium | 0.8416 |
| Niabella drilacis | Niabella | 0.8045 |
| Paracoccus aestuarii | Paracoccus | 0.7848 |
| Corynebacterium pseudopelargi | Corynebacterium | 0.6802 |
| Neisseria subflava | Neisseria | 0.6532 |
| Paracoccus kondratievae | Paracoccus | 0.6085 |
| Sphingomonas paucimobilis | Sphingomonas | 0.6012 |
| Corynebacterium xerosis | Corynebacterium | 0.5743 |
| Allofrancisella frigidaquae | Allofrancisella | 0.5543 |
| Tessaracoccus aquimaris | Tessaracoccus | 0.5450 |
| Kocuria subflava | Kocuria | 0.5427 |
| Corynebacterium afermentans | Corynebacterium | 0.4805 |
| Corynebacterium pilosum | Corynebacterium | 0.4572 |
| Tessaracoccus flavus | Tessaracoccus | 0.4505 |
| Corynebacterium glyciniphilum | Corynebacterium | 0.4495 |
| Propioniciclava tarda | Propioniciclava | 0.4442 |
| Corynebacterium diphtheriae | Corynebacterium | 0.4077 |
| Niabella soli | Niabella | 0.4062 |
| Ottowia pentelensis | Ottowia | 0.3674 |
| Corynebacterium renale | Corynebacterium | 0.3563 |
| Lysobacter panacisoli | Lysobacter | 0.3507 |
| Granulicatella balaenopterae | Granulicatella | 0.3507 |
| Corynebacterium casei | Corynebacterium | 0.3090 |
| Corynebacterium singulare | Corynebacterium | 0.2852 |
| Corynebacterium ureicelerivorans | Corynebacterium | 0.2664 |
| Corynebacterium cystitidis | Corynebacterium | 0.2415 |
| Hymenobacter kanuolensis | Hymenobacter | 0.2338 |
| Corynebacterium auris | Corynebacterium | 0.2308 |
| Paracoccus versutus | Paracoccus | 0.2014 |
| Pedobacter kyungheensis | Pedobacter | 0.2004 |
| Curtobacterium ammoniigenes | Curtobacterium | 0.1837 |
| Mycobacterium tuberculosis | Mycobacterium | 0.1670 |
| Piscinibacter gummiphilus | Piscinibacter | 0.1503 |
| Mucilaginibacter polysacchareus | Mucilaginibacter | 0.1503 |
| Pseudomonas aeruginosa | Pseudomonas | 0.1419 |
| Agrobacterium rubi | Agrobacterium | 0.1169 |
Saved public metadata
{
"run_accession": "SRR28267197",
"study_accession": "PRJNA1082425",
"sample_accession": "SAMN40210582",
"instrument_platform": "OXFORD_NANOPORE",
"instrument_model": "GridION",
"library_strategy": "AMPLICON",
"library_source": "GENOMIC",
"library_selection": "PCR",
"read_count": "185681",
"base_count": "304740726",
"fastq_bytes": "245884858",
"fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/097/SRR28267197/SRR28267197_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": "921f986f208c359e29bf4dbf3aaa3c8dddf4c8e002a192cd5d839124f23c2e78",
"length_window_bp": [
1200,
2000
],
"median_read_length": 1649.0,
"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": 7895,
"elapsed_seconds": 1.6199249380006222,
"reads_submitted": 20000,
"reads_after_filter": 20000,
"adapter_scan": {
"sampled": 200,
"matched": 98,
"fraction": 0.49,
"adapters_found": {
"RAP": 88,
"27F": 1,
"BC_FLANK": 9
},
"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."
}