archAIons

SRR28267137 · 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

SpeciesGenusAbundance (%)
Chryseobacterium indologenesChryseobacterium17.7610
Kocuria variansKocuria11.1872
Kocuria roseaKocuria9.8301
Corynebacterium bovisCorynebacterium5.1437
Propioniciclava sinopodophylliPropioniciclava3.0814
Epidermidibacterium keratiniEpidermidibacterium2.9148
Neisseria dentiaeNeisseria2.7587
Corynebacterium matruchotiiCorynebacterium2.6147
Neisseria lactamicaNeisseria2.5916
Niabella drilacisNiabella2.4076
Corynebacterium ammoniagenesCorynebacterium2.0841
Lysobacter panacisoliLysobacter1.8976
Niabella soliNiabella1.7880
Neisseria animalisNeisseria1.6000
Paracoccus kondratievaeParacoccus1.5862
Corynebacterium resistensCorynebacterium1.4361
Paracoccus aestuariiParacoccus1.3899
Niabella yanshanensisNiabella1.3108
Obesumbacterium proteusObesumbacterium1.2138
Spirosoma spitsbergenseSpirosoma1.1368
Sphingomonas paucimobilisSphingomonas1.0856
Novosphingobium aromaticivoransNovosphingobium0.9750
Bactoderma roseumBactoderma0.8633
Gleimia europaeaGleimia0.8348
Sphingobium xenophagumSphingobium0.8069
Corynebacterium argentoratenseCorynebacterium0.7876
Kineosphaera nakaumiensisKineosphaera0.7864
Propioniciclava tardaPropioniciclava0.7850
Corynebacterium pseudopelargiCorynebacterium0.7448
Buttiauxella gaviniaeButtiauxella0.7437
Corynebacterium amycolatumCorynebacterium0.7086
Corynebacterium striatumCorynebacterium0.6894
Neisseria meningitidisNeisseria0.6148
Corynebacterium callunaeCorynebacterium0.6050
Neisseria polysacchareaNeisseria0.5845
Corynebacterium afermentansCorynebacterium0.5574
Gallicola barnesaeGallicola0.5556
Niabella tibetensisNiabella0.5539
Corynebacterium jeikeiumCorynebacterium0.5166
Variovorax guangxiensisVariovorax0.5129
Tessaracoccus flavusTessaracoccus0.4918
Piscinibacter gummiphilusPiscinibacter0.4707
Kocuria rhizophilaKocuria0.4496
Pedobacter kyungheensisPedobacter0.4359
Flavobacterium columnareFlavobacterium0.4188
Kocuria indicaKocuria0.3881
Chryseobacterium bernardetiiChryseobacterium0.3773
Tessaracoccus aquimarisTessaracoccus0.3645
Corynebacterium kutscheriCorynebacterium0.3479
Methylobacterium aerolatumMethylobacterium0.3419
Novosphingobium fuchskuhlenseNovosphingobium0.3328
Piscinibacter aquaticusPiscinibacter0.3328
Sphingobium chlorophenolicumSphingobium0.3299
Corynebacterium pilosumCorynebacterium0.3275
Paracoccus versutusParacoccus0.3257
Corynebacterium caseiCorynebacterium0.3255
Bradyrhizobium elkaniiBradyrhizobium0.3163
Neisseria subflavaNeisseria0.3126
Kocuria subflavaKocuria0.3077
Tessaracoccus lubricantisTessaracoccus0.3063
Devosia nitrariaeDevosia0.2650
Corynebacterium glyciniphilumCorynebacterium0.2642
Corynebacterium ureicelerivoransCorynebacterium0.2579
Corynebacterium renaleCorynebacterium0.2563
Corynebacterium xerosisCorynebacterium0.2417
Flavobacterium frigidimarisFlavobacterium0.2308
Paracoccus hibisciParacoccus0.2284
Massilia variansMassilia0.2222
Mucilaginibacter polysacchareusMucilaginibacter0.2137
Lactococcus garvieaeLactococcus0.2051
Mycobacterium tuberculosisMycobacterium0.1453
Hymenobacter kanuolensisHymenobacter0.1197

Saved public metadata

{
  "run_accession": "SRR28267137",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210590",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "97356",
  "base_count": "159970925",
  "fastq_bytes": "137036690",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/037/SRR28267137/SRR28267137_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267137_1.fastq.gz

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": "38a569e9ef4b7c1e90073c01e9aa542030c87b0e75ed8e50ac948d1759ecf7e5",
  "length_window_bp": [
    1200,
    2000
  ],
  "median_read_length": 1646.0,
  "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": 8088,
    "elapsed_seconds": 1.782105758000398,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 107,
      "fraction": 0.535,
      "adapters_found": {
        "RAP": 97,
        "BC_FLANK": 9,
        "27F": 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."
}