archAIons

SRR28267186 · 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 indologenesChryseobacterium17.2620
Neisseria lactamicaNeisseria10.1999
Neisseria dentiaeNeisseria6.8919
Campylobacter sputorumCampylobacter6.1733
Neisseria animalisNeisseria5.6254
Granulicatella balaenopteraeGranulicatella4.8000
Arcobacter trophiarumArcobacter4.0098
Neisseria polysacchareaNeisseria3.3394
Arthrobacter russicusArthrobacter2.4417
Paracoccus aestuariiParacoccus2.1157
Granulicatella adiacensGranulicatella2.0332
Neisseria meningitidisNeisseria1.9719
Paracoccus kondratievaeParacoccus1.6765
Gordonia terraeGordonia1.6103
Kocuria roseaKocuria1.5402
Campylobacter curvusCampylobacter1.2753
Acinetobacter baumanniiAcinetobacter1.2322
Dietzia marisDietzia1.0757
Arthrobacter ramosusArthrobacter1.0741
Janibacter hoyleiJanibacter1.0552
Neisseria subflavaNeisseria1.0428
Kocuria variansKocuria0.9631
Sphingobacterium multivorumSphingobacterium0.9087
Obesumbacterium proteusObesumbacterium0.8918
Sphingobacterium thalpophilumSphingobacterium0.8465
Paracoccus versutusParacoccus0.8149
Tessaracoccus aquimarisTessaracoccus0.7622
Gordonia bronchialisGordonia0.6867
Tessaracoccus flavusTessaracoccus0.6841
Microbacterium lindanitoleransMicrobacterium0.6675
Myroides odoratusMyroides0.6127
Paracoccus chinensisParacoccus0.6121
Arthrobacter alpinusArthrobacter0.5855
Paracoccus sulfuroxidansParacoccus0.5372
Paracoccus hibisciParacoccus0.5274
Shewanella sediminisShewanella0.5242
Arthrobacter pityocampaeArthrobacter0.5226
Chryseobacterium balustinumChryseobacterium0.4949
Sporosarcina globisporaSporosarcina0.4765
Neisseria zalophiNeisseria0.4656
Sphingobacterium mizutaiiSphingobacterium0.4559
Rhodanobacter aciditrophusRhodanobacter0.4357
Trichococcus flocculiformisTrichococcus0.4140
Gallicola barnesaeGallicola0.3540
Brevibacterium daeguenseBrevibacterium0.3243
Microbacterium gubbeenenseMicrobacterium0.3128
Chryseobacterium jeoniiChryseobacterium0.3086
Vagococcus entomophilusVagococcus0.3050
Tessaracoccus lubricantisTessaracoccus0.3036
Allofrancisella guangzhouensisAllofrancisella0.2995
Paracoccus denitrificansParacoccus0.2926
Vagococcus fluvialisVagococcus0.2900
Stenotrophomonas daejeonensisStenotrophomonas0.2791
Propioniciclava sinopodophylliPropioniciclava0.2756
Tessaracoccus profundiTessaracoccus0.2635
Vagococcus acidifermentansVagococcus0.2625
Gordonia sputiGordonia0.2496
Glutamicibacter creatinolyticusGlutamicibacter0.2469
Campylobacter concisusCampylobacter0.2456
Campylobacter helveticusCampylobacter0.2437
Gordonia aichiensisGordonia0.2332
Arthrobacter livingstonensisArthrobacter0.2274
Arthrobacter flavusArthrobacter0.2163
Trichococcus alkaliphilusTrichococcus0.2161
Acinetobacter chinensisAcinetobacter0.2042
Chryseobacterium carnisChryseobacterium0.1999
Neisseria gonorrhoeaeNeisseria0.1996
Tessaracoccus flavescensTessaracoccus0.1804
Arcobacter butzleriArcobacter0.1770
Sphingobacterium spiritivorumSphingobacterium0.1716
Pseudomonas aeruginosaPseudomonas0.1702
Gordonia amaraeGordonia0.1679
Vagococcus martisVagococcus0.1617
Ottowia pentelensisOttowia0.1430
Propioniciclava tardaPropioniciclava0.1380

Saved public metadata

{
  "run_accession": "SRR28267186",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210617",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "203425",
  "base_count": "333582445",
  "fastq_bytes": "284487384",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/086/SRR28267186/SRR28267186_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267186_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": "3f242d1baca48bcb359b44db686579d44234cbf6481dacc8d42c58fb1425d0c8",
  "length_window_bp": [
    1200,
    2000
  ],
  "median_read_length": 1648.0,
  "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": 5028,
    "elapsed_seconds": 1.918856505999429,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 93,
      "fraction": 0.465,
      "adapters_found": {
        "BC_FLANK": 8,
        "RAP": 82,
        "27F": 3
      },
      "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."
}