archAIons

SRR28267176 · 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 (%)
Corynebacterium bovisCorynebacterium13.1603
Myroides odoratusMyroides8.6172
Corynebacterium argentoratenseCorynebacterium6.9822
Campylobacter sputorumCampylobacter6.5515
Corynebacterium pilosumCorynebacterium4.7906
Corynebacterium matruchotiiCorynebacterium4.3981
Bacteroides timonensisBacteroides3.6924
Clostridium thermosuccinogenesClostridium3.4355
Corynebacterium striatumCorynebacterium3.2046
Enterococcus faeciumEnterococcus2.7958
Arachidicoccus ginsenosidivoransArachidicoccus2.7370
Corynebacterium amycolatumCorynebacterium2.2130
Kocuria variansKocuria2.1787
Corynebacterium callunaeCorynebacterium2.0688
Corynebacterium resistensCorynebacterium1.9991
Corynebacterium ammoniagenesCorynebacterium1.7089
Kocuria roseaKocuria1.6560
Corynebacterium ureicelerivoransCorynebacterium1.5361
Neisseria lactamicaNeisseria1.5020
Brevibacterium daeguenseBrevibacterium1.4018
Neisseria dentiaeNeisseria1.2945
Corynebacterium caseiCorynebacterium1.2528
Corynebacterium jeikeiumCorynebacterium1.0872
Peptostreptococcus anaerobiusPeptostreptococcus1.0050
Corynebacterium xerosisCorynebacterium0.9915
Campylobacter curvusCampylobacter0.8541
Sphingobacterium multivorumSphingobacterium0.8358
Granulicatella balaenopteraeGranulicatella0.8049
Arcobacter trophiarumArcobacter0.7698
Neisseria animalisNeisseria0.7479
Corynebacterium glyciniphilumCorynebacterium0.7363
Tessaracoccus aquimarisTessaracoccus0.7007
Corynebacterium afermentansCorynebacterium0.6937
Corynebacterium kutscheriCorynebacterium0.6604
Tessaracoccus flavusTessaracoccus0.6155
Sphingobacterium thalpophilumSphingobacterium0.5996
Sphingobacterium mizutaiiSphingobacterium0.5967
Leucobacter musarumLeucobacter0.5203
Bacteroides ovatusBacteroides0.4843
Corynebacterium cystitidisCorynebacterium0.4711
Clostridium sporogenesClostridium0.4562
Neisseria polysacchareaNeisseria0.4479
Brevibacterium aviumBrevibacterium0.4305
Granulicatella adiacensGranulicatella0.4210
Myroides odoratimimusMyroides0.4134
Enterococcus alcedinisEnterococcus0.3960
Corynebacterium diphtheriaeCorynebacterium0.3849
Fusobacterium periodonticumFusobacterium0.3821
Gallicola barnesaeGallicola0.3635
Proteus columbaeProteus0.3635
Fusobacterium nucleatumFusobacterium0.3592
Dietzia marisDietzia0.3588
Corynebacterium testudinorisCorynebacterium0.3152
Neisseria meningitidisNeisseria0.2775
Tessaracoccus lubricantisTessaracoccus0.2772
Tessaracoccus profundiTessaracoccus0.2741
Corynebacterium aurisCorynebacterium0.2676
Corynebacterium pseudopelargiCorynebacterium0.2395
Brevibacterium pityocampaeBrevibacterium0.2276
Sphingobacterium spiritivorumSphingobacterium0.2273
Corynebacterium doosanenseCorynebacterium0.1870
Bacteroides stercorisBacteroides0.1783
Enterococcus saccharolyticusEnterococcus0.1724
Neisseria subflavaNeisseria0.1421
Escherichia coliEscherichia0.0855

Saved public metadata

{
  "run_accession": "SRR28267176",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210626",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "91136",
  "base_count": "150095419",
  "fastq_bytes": "128036400",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/076/SRR28267176/SRR28267176_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267176_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": "4bd2c1aea50293d8e857a8547ad53cab43a779bb4f0117fcdba416b98feecead",
  "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": 5663,
    "elapsed_seconds": 1.9140130820001104,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 106,
      "fraction": 0.53,
      "adapters_found": {
        "RAP": 86,
        "BC_FLANK": 17,
        "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."
}