archAIons

SRR28267184 · 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 indologenesChryseobacterium13.9775
Kocuria roseaKocuria12.7587
Kocuria variansKocuria10.1255
Glutamicibacter creatinolyticusGlutamicibacter5.7191
Acinetobacter baumanniiAcinetobacter4.8138
Janibacter hoyleiJanibacter3.7788
Rouxiella badensisRouxiella2.9399
Gordonia terraeGordonia2.8468
Paracoccus aestuariiParacoccus2.2289
Klebsiella pneumoniaeKlebsiella2.0859
Brevibacterium daeguenseBrevibacterium2.0755
Campylobacter sputorumCampylobacter2.0708
Klebsiella variicolaKlebsiella2.0251
Rouxiella silvaeRouxiella1.7233
Paracoccus kondratievaeParacoccus1.6387
Glutamicibacter soliGlutamicibacter1.5628
Sphingobacterium thalpophilumSphingobacterium1.5490
Granulicatella balaenopteraeGranulicatella1.2676
Glutamicibacter mishraiGlutamicibacter1.2308
Sphingobacterium mizutaiiSphingobacterium1.1626
Sphingobacterium multivorumSphingobacterium1.1112
Dietzia marisDietzia1.0255
Brevibacterium aviumBrevibacterium0.9529
Gordonia bronchialisGordonia0.9394
Tessaracoccus aquimarisTessaracoccus0.8976
Pseudomonas aeruginosaPseudomonas0.8792
Brachybacterium sacelliBrachybacterium0.7180
Microbacterium lindanitoleransMicrobacterium0.6951
Kocuria rhizophilaKocuria0.6794
Brevibacterium pityocampaeBrevibacterium0.6684
Kocuria subflavaKocuria0.6679
Sporosarcina globisporaSporosarcina0.6256
Propioniciclava sinopodophylliPropioniciclava0.6156
Nocardioides marmoraquaticusNocardioides0.5664
Acinetobacter chinensisAcinetobacter0.5399
Arcobacter trophiarumArcobacter0.5241
Chryseobacterium jeoniiChryseobacterium0.5160
Tessaracoccus lubricantisTessaracoccus0.4983
Chryseobacterium carnisChryseobacterium0.4903
Granulicatella adiacensGranulicatella0.4823
Neisseria lactamicaNeisseria0.4637
Kocuria indicaKocuria0.4365
Tessaracoccus flavusTessaracoccus0.4208
Gordonia aichiensisGordonia0.4140
Brachybacterium murisBrachybacterium0.3556
Campylobacter curvusCampylobacter0.3554
Obesumbacterium proteusObesumbacterium0.3466
Sphingobacterium spiritivorumSphingobacterium0.3449
Chryseobacterium balustinumChryseobacterium0.3345
Paracoccus denitrificansParacoccus0.3254
Microbacterium gubbeenenseMicrobacterium0.3193
Paracoccus versutusParacoccus0.2908
Paracoccus hibisciParacoccus0.2862
Sphingobacterium cellulitidisSphingobacterium0.2790
Gordonia sputiGordonia0.2780
Gallicola barnesaeGallicola0.2705
Acinetobacter gerneriAcinetobacter0.2517
Neisseria dentiaeNeisseria0.2380
Paracoccus sulfuroxidansParacoccus0.2368
Acinetobacter oleivoransAcinetobacter0.2283
Acinetobacter indicusAcinetobacter0.2278
Propioniciclava tardaPropioniciclava0.2213
Tessaracoccus profundiTessaracoccus0.2207
Janibacter indicusJanibacter0.2198
Brevibacterium linensBrevibacterium0.2184
Paracoccus chinensisParacoccus0.2177
Bacteroides timonensisBacteroides0.1860
Paracoccus liaowanqingiiParacoccus0.1860
Stenotrophomonas daejeonensisStenotrophomonas0.1522

Saved public metadata

{
  "run_accession": "SRR28267184",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210619",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "202372",
  "base_count": "331859523",
  "fastq_bytes": "281471210",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/084/SRR28267184/SRR28267184_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267184_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": "d6945307ae321db01bdb4e4f4dd767543b3d374a19c6466587d067ebffd409bf",
  "length_window_bp": [
    1200,
    2000
  ],
  "median_read_length": 1650.0,
  "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": 7798,
    "elapsed_seconds": 1.5854871029999913,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 108,
      "fraction": 0.54,
      "adapters_found": {
        "RAP": 86,
        "BC_FLANK": 20,
        "27F": 2
      },
      "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."
}