SRR28267211 · 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 (%) |
|---|---|---|
| Chryseobacterium indologenes | Chryseobacterium | 42.5763 |
| Niabella soli | Niabella | 7.1617 |
| Niabella drilacis | Niabella | 4.6640 |
| Niabella yanshanensis | Niabella | 4.6083 |
| Kocuria varians | Kocuria | 3.2597 |
| Deinococcus wulumuqiensis | Deinococcus | 2.9465 |
| Kocuria rosea | Kocuria | 2.9021 |
| Niabella tibetensis | Niabella | 2.8795 |
| Lysobacter panacisoli | Lysobacter | 2.6707 |
| Variovorax guangxiensis | Variovorax | 2.0041 |
| Clostridium thermosuccinogenes | Clostridium | 1.7491 |
| Paracoccus aestuarii | Paracoccus | 1.2539 |
| Paracoccus kondratievae | Paracoccus | 1.1861 |
| Corynebacterium bovis | Corynebacterium | 1.1379 |
| Spirosoma spitsbergense | Spirosoma | 0.9889 |
| Chryseobacterium bernardetii | Chryseobacterium | 0.9874 |
| Allofrancisella guangzhouensis | Allofrancisella | 0.8947 |
| Chryseobacterium jeonii | Chryseobacterium | 0.8680 |
| Asticcacaulis excentricus | Asticcacaulis | 0.6727 |
| Corynebacterium matruchotii | Corynebacterium | 0.6295 |
| Citrobacter freundii | Citrobacter | 0.6002 |
| Paracoccus versutus | Paracoccus | 0.5775 |
| Chryseobacterium taklimakanense | Chryseobacterium | 0.5575 |
| Flavobacterium columnare | Flavobacterium | 0.5004 |
| Niabella aquatica | Niabella | 0.5002 |
| Variovorax boronicumulans | Variovorax | 0.4557 |
| Tessaracoccus flavus | Tessaracoccus | 0.4490 |
| Variovorax paradoxus | Variovorax | 0.4396 |
| Corynebacterium ammoniagenes | Corynebacterium | 0.4369 |
| Citrobacter europaeus | Citrobacter | 0.4358 |
| Tessaracoccus aquimaris | Tessaracoccus | 0.3985 |
| Corynebacterium resistens | Corynebacterium | 0.3902 |
| Novosphingobium aromaticivorans | Novosphingobium | 0.3633 |
| Corynebacterium pseudopelargi | Corynebacterium | 0.3565 |
| Chryseobacterium molle | Chryseobacterium | 0.3498 |
| Sphingomonas paucimobilis | Sphingomonas | 0.3229 |
| Mucilaginibacter polysacchareus | Mucilaginibacter | 0.3202 |
| Paracoccus chinensis | Paracoccus | 0.3148 |
| Piscinibacter gummiphilus | Piscinibacter | 0.3098 |
| Chryseobacterium carnis | Chryseobacterium | 0.2932 |
| Massilia varians | Massilia | 0.2758 |
| Paracoccus denitrificans | Paracoccus | 0.2615 |
| Chryseobacterium balustinum | Chryseobacterium | 0.2609 |
| Corynebacterium amycolatum | Corynebacterium | 0.2574 |
| Niabella hirudinis | Niabella | 0.2563 |
| Microbacterium lindanitolerans | Microbacterium | 0.2556 |
| Paracoccus hibisci | Paracoccus | 0.2515 |
| Clostridium sporogenes | Clostridium | 0.2422 |
| Flavobacterium succinicans | Flavobacterium | 0.2409 |
| Niabella pedocola | Niabella | 0.2328 |
| Kocuria rhizophila | Kocuria | 0.2324 |
| Propioniciclava sinopodophylli | Propioniciclava | 0.2296 |
| Nocardioides marmoraquaticus | Nocardioides | 0.2287 |
| Paracoccus sulfuroxidans | Paracoccus | 0.2247 |
| Tessaracoccus lubricantis | Tessaracoccus | 0.2212 |
| Pedobacter kyungheensis | Pedobacter | 0.2180 |
| Flavobacterium frigidimaris | Flavobacterium | 0.2139 |
| Piscinibacter aquaticus | Piscinibacter | 0.2082 |
| Kocuria indica | Kocuria | 0.1923 |
| Kocuria subflava | Kocuria | 0.1816 |
| Legionella bozemanae | Legionella | 0.1682 |
| Mycobacterium tuberculosis | Mycobacterium | 0.1211 |
| Bradyrhizobium elkanii | Bradyrhizobium | 0.1144 |
| Agrobacterium rubi | Agrobacterium | 0.1076 |
| Stenotrophomonas daejeonensis | Stenotrophomonas | 0.1076 |
| Mesorhizobium waimense | Mesorhizobium | 0.1009 |
| Bacteroides timonensis | Bacteroides | 0.0942 |
| Devosia nitrariae | Devosia | 0.0875 |
Saved public metadata
{
"run_accession": "SRR28267211",
"study_accession": "PRJNA1082425",
"sample_accession": "SAMN40210569",
"instrument_platform": "OXFORD_NANOPORE",
"instrument_model": "GridION",
"library_strategy": "AMPLICON",
"library_source": "GENOMIC",
"library_selection": "PCR",
"read_count": "68979",
"base_count": "112385331",
"fastq_bytes": "93134596",
"fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/011/SRR28267211/SRR28267211_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": "550af2df43b4c97d9cb0a781cd0507cf482d7d1e5808d461773d949b170e130f",
"length_window_bp": [
1200,
2000
],
"median_read_length": 1637.0,
"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": 4765,
"elapsed_seconds": 2.059609247000026,
"reads_submitted": 20000,
"reads_after_filter": 20000,
"adapter_scan": {
"sampled": 200,
"matched": 99,
"fraction": 0.495,
"adapters_found": {
"BC_FLANK": 4,
"RAP": 86,
"27F": 8,
"NA_5p": 1
},
"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."
}