archAIons

SRR28267185 · 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 indologenesChryseobacterium26.6842
Kocuria variansKocuria9.9073
Kocuria roseaKocuria7.0106
Neisseria lactamicaNeisseria5.1420
Shewanella sediminisShewanella3.5126
Neisseria dentiaeNeisseria2.9833
Granulicatella balaenopteraeGranulicatella2.9593
Dietzia marisDietzia2.8946
Neisseria animalisNeisseria2.5468
Shewanella canadensisShewanella2.4019
Shewanella hanedaiShewanella1.9798
Pseudomonas aeruginosaPseudomonas1.7273
Brevibacterium daeguenseBrevibacterium1.5832
Shewanella halifaxensisShewanella1.3856
Propioniciclava sinopodophylliPropioniciclava1.2847
Shewanella benthicaShewanella1.2709
Sphingobacterium multivorumSphingobacterium1.2002
Brachybacterium murisBrachybacterium1.0982
Gordonia terraeGordonia0.9918
Tessaracoccus aquimarisTessaracoccus0.9912
Neisseria meningitidisNeisseria0.9628
Allofrancisella guangzhouensisAllofrancisella0.9198
Granulicatella adiacensGranulicatella0.9111
Tessaracoccus flavusTessaracoccus0.9083
Luteipulveratus halotoleransLuteipulveratus0.8980
Paracoccus aestuariiParacoccus0.8469
Sphingobacterium thalpophilumSphingobacterium0.7043
Brachybacterium sacelliBrachybacterium0.6186
Brevibacterium aviumBrevibacterium0.6104
Shewanella atlanticaShewanella0.6064
Neisseria polysacchareaNeisseria0.5675
Propioniciclava tardaPropioniciclava0.5410
Calidifontibacter indicusCalidifontibacter0.5350
Paracoccus kondratievaeParacoccus0.5183
Sphingobacterium mizutaiiSphingobacterium0.5026
Acinetobacter baumanniiAcinetobacter0.4892
Klebsiella variicolaKlebsiella0.4681
Brachybacterium ginsengisoliBrachybacterium0.4546
Kocuria rhizophilaKocuria0.4172
Shewanella profundaShewanella0.4082
Flexivirga luteaFlexivirga0.3978
Brachybacterium aquaticumBrachybacterium0.3803
Shewanella putrefaciensShewanella0.3684
Chryseobacterium balustinumChryseobacterium0.3551
Chryseobacterium jeoniiChryseobacterium0.3473
Kocuria indicaKocuria0.3196
Allofrancisella frigidaquaeAllofrancisella0.3122
Klebsiella pneumoniaeKlebsiella0.3110
Rhodanobacter aciditrophusRhodanobacter0.3080
Bacteroides timonensisBacteroides0.3020
Tessaracoccus profundiTessaracoccus0.2767
Gordonia bronchialisGordonia0.2745
Microbacterium lindanitoleransMicrobacterium0.2718
Sphingobacterium spiritivorumSphingobacterium0.2683
Kocuria subflavaKocuria0.2476
Lactococcus garvieaeLactococcus0.2439
Trichococcus flocculiformisTrichococcus0.2401
Tessaracoccus lubricantisTessaracoccus0.2317
Paracoccus chinensisParacoccus0.2264
Paracoccus versutusParacoccus0.2123
Neisseria subflavaNeisseria0.2085
Brevibacterium pityocampaeBrevibacterium0.1998
Brachybacterium hortiBrachybacterium0.1871
Chryseobacterium carnisChryseobacterium0.1832
Epidermidibacterium keratiniEpidermidibacterium0.1751
Paracoccus hibisciParacoccus0.1710
Brevibacterium mcbrellneriBrevibacterium0.1618
Dietzia luteaDietzia0.1513
Paracoccus sulfuroxidansParacoccus0.1329
Acinetobacter chinensisAcinetobacter0.0906

Saved public metadata

{
  "run_accession": "SRR28267185",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210618",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "114415",
  "base_count": "188299764",
  "fastq_bytes": "158332285",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/085/SRR28267185/SRR28267185_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267185_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": "c0f5cc7f9e31aafd016eea070e1317219480a0ba6dff1994a69ee07a899e5bb3",
  "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": 3151,
    "elapsed_seconds": 1.8992150829999446,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 116,
      "fraction": 0.58,
      "adapters_found": {
        "RAP": 98,
        "BC_FLANK": 18
      },
      "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."
}