SRR28267238 · 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 (%) |
|---|---|---|
| Arcobacter trophiarum | Arcobacter | 33.3328 |
| Chryseobacterium indologenes | Chryseobacterium | 13.9755 |
| Propioniciclava sinopodophylli | Propioniciclava | 3.1658 |
| Neisseria dentiae | Neisseria | 2.7697 |
| Arcobacter butzleri | Arcobacter | 2.7214 |
| Enterococcus faecium | Enterococcus | 2.5170 |
| Kocuria rosea | Kocuria | 2.4509 |
| Neisseria lactamica | Neisseria | 2.3364 |
| Corynebacterium bovis | Corynebacterium | 2.1037 |
| Kocuria varians | Kocuria | 1.9196 |
| Chryseobacterium balustinum | Chryseobacterium | 1.7426 |
| Propioniciclava tarda | Propioniciclava | 1.7386 |
| Campylobacter sputorum | Campylobacter | 1.7132 |
| Epidermidibacterium keratini | Epidermidibacterium | 1.4800 |
| Allofrancisella guangzhouensis | Allofrancisella | 1.3210 |
| Paracoccus kondratievae | Paracoccus | 1.2350 |
| Paracoccus aestuarii | Paracoccus | 1.2308 |
| Niabella drilacis | Niabella | 1.2196 |
| Corynebacterium matruchotii | Corynebacterium | 1.2012 |
| Neisseria meningitidis | Neisseria | 1.1579 |
| Neisseria animalis | Neisseria | 1.1339 |
| Corynebacterium resistens | Corynebacterium | 1.1212 |
| Chryseobacterium indoltheticum | Chryseobacterium | 0.9828 |
| Lactococcus garvieae | Lactococcus | 0.9182 |
| Arcobacter halophilus | Arcobacter | 0.8695 |
| Niabella soli | Niabella | 0.8168 |
| Corynebacterium ammoniagenes | Corynebacterium | 0.8096 |
| Neisseria polysaccharea | Neisseria | 0.7797 |
| Campylobacter curvus | Campylobacter | 0.7478 |
| Niabella yanshanensis | Niabella | 0.7389 |
| Tessaracoccus flavus | Tessaracoccus | 0.6234 |
| Corynebacterium striatum | Corynebacterium | 0.5614 |
| Paracoccus versutus | Paracoccus | 0.5282 |
| Corynebacterium amycolatum | Corynebacterium | 0.5184 |
| Kocuria rhizophila | Kocuria | 0.5077 |
| Tessaracoccus aquimaris | Tessaracoccus | 0.4893 |
| Citrobacter freundii | Citrobacter | 0.4597 |
| Paracoccus chinensis | Paracoccus | 0.4527 |
| Allofrancisella frigidaquae | Allofrancisella | 0.4506 |
| Citrobacter europaeus | Citrobacter | 0.4369 |
| Paracoccus hibisci | Paracoccus | 0.4032 |
| Campylobacter helveticus | Campylobacter | 0.4017 |
| Corynebacterium jeikeium | Corynebacterium | 0.3701 |
| Veillonella rodentium | Veillonella | 0.3580 |
| Corynebacterium pseudopelargi | Corynebacterium | 0.3289 |
| Corynebacterium xerosis | Corynebacterium | 0.3250 |
| Arcobacter anaerophilus | Arcobacter | 0.3131 |
| Niabella tibetensis | Niabella | 0.2926 |
| Paracoccus sulfuroxidans | Paracoccus | 0.2874 |
| Veillonella seminalis | Veillonella | 0.2793 |
| Corynebacterium glyciniphilum | Corynebacterium | 0.2701 |
| Variovorax guangxiensis | Variovorax | 0.2377 |
| Luteimonas aestuarii | Luteimonas | 0.2377 |
| Sphingomonas paucimobilis | Sphingomonas | 0.2161 |
| Gallicola barnesae | Gallicola | 0.1404 |
| Stenotrophomonas daejeonensis | Stenotrophomonas | 0.1296 |
| Pseudomonas aeruginosa | Pseudomonas | 0.1296 |
Saved public metadata
{
"run_accession": "SRR28267238",
"study_accession": "PRJNA1082425",
"sample_accession": "SAMN40210643",
"instrument_platform": "OXFORD_NANOPORE",
"instrument_model": "GridION",
"library_strategy": "AMPLICON",
"library_source": "GENOMIC",
"library_selection": "PCR",
"read_count": "14540",
"base_count": "23865108",
"fastq_bytes": "20024132",
"fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/038/SRR28267238/SRR28267238_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": "e546f4b925b2aa35271910ca1421d5972c77309c11c2fd4a1e2bbf86318efe64",
"length_window_bp": [
1200,
2000
],
"median_read_length": 1643.0,
"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": 14540,
"reads_skipped": 4985,
"elapsed_seconds": 1.4437905129998398,
"reads_submitted": 14540,
"reads_after_filter": 14540,
"adapter_scan": {
"sampled": 200,
"matched": 118,
"fraction": 0.59,
"adapters_found": {
"RAP": 97,
"BC_FLANK": 8,
"1492R_rc": 1,
"27F": 12
},
"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."
}