archAIons

SRR28267105 · 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 indologenesChryseobacterium28.7624
Comamonas testosteroniComamonas8.7262
Epidermidibacterium keratiniEpidermidibacterium4.6597
Kocuria roseaKocuria4.3731
Kocuria variansKocuria4.1349
Ottowia pentelensisOttowia2.7838
Gallicola barnesaeGallicola2.6876
Lysobacter panacisoliLysobacter2.4399
Campylobacter sputorumCampylobacter2.1146
Niabella drilacisNiabella2.0207
Comamonas aquaticaComamonas1.8319
Novosphingobium aromaticivoransNovosphingobium1.7445
Corynebacterium bovisCorynebacterium1.6814
Niabella yanshanensisNiabella1.5981
Niabella soliNiabella1.5872
Comamonas kerstersiiComamonas1.5193
Dysgonomonas macrotermitisDysgonomonas1.2695
Obesumbacterium proteusObesumbacterium1.2658
Propioniciclava sinopodophylliPropioniciclava1.2636
Neisseria lactamicaNeisseria1.2168
Arcobacter trophiarumArcobacter1.1191
Tessaracoccus aquimarisTessaracoccus1.0610
Neisseria dentiaeNeisseria0.9309
Corynebacterium matruchotiiCorynebacterium0.8595
Tessaracoccus flavusTessaracoccus0.8589
Spirosoma spitsbergenseSpirosoma0.7888
Chryseobacterium jeoniiChryseobacterium0.7791
Corynebacterium ammoniagenesCorynebacterium0.7405
Neisseria animalisNeisseria0.7330
Novosphingobium fuchskuhlenseNovosphingobium0.6771
Paracoccus aestuariiParacoccus0.6368
Sphingobium xenophagumSphingobium0.6329
Granulicatella balaenopteraeGranulicatella0.6329
Paracoccus kondratievaeParacoccus0.5603
Sphingomonas paucimobilisSphingomonas0.5228
Campylobacter curvusCampylobacter0.4996
Neisseria meningitidisNeisseria0.4980
Corynebacterium resistensCorynebacterium0.4962
Tessaracoccus lubricantisTessaracoccus0.4895
Veillonella rodentiumVeillonella0.4403
Ottowia shaoguanensisOttowia0.4277
Ottowia oryzaeOttowia0.4230
Niabella tibetensisNiabella0.4167
Chryseobacterium balustinumChryseobacterium0.4121
Propioniciclava tardaPropioniciclava0.3964
Flavobacterium columnareFlavobacterium0.3944
Ottowia beijingensisOttowia0.3556
Corynebacterium callunaeCorynebacterium0.3522
Comamonas terrigenaComamonas0.3507
Kocuria rhizophilaKocuria0.3486
Chryseobacterium bernardetiiChryseobacterium0.3160
Tessaracoccus profundiTessaracoccus0.3063
Dysgonomonas capnocytophagoidesDysgonomonas0.2990
Corynebacterium pseudopelargiCorynebacterium0.2935
Corynebacterium kutscheriCorynebacterium0.2839
Neisseria polysacchareaNeisseria0.2720
Enterococcus faeciumEnterococcus0.2660
Corynebacterium argentoratenseCorynebacterium0.2503
Comamonas serinivoransComamonas0.2484
Mucilaginibacter polysacchareusMucilaginibacter0.2385
Paracoccus chinensisParacoccus0.2338
Fusobacterium periodonticumFusobacterium0.2310
Fusobacterium nucleatumFusobacterium0.2276
Kocuria subflavaKocuria0.2109
Tessaracoccus flavescensTessaracoccus0.2016
Lysobacter erysipheiresistensLysobacter0.1835
Pseudomonas aeruginosaPseudomonas0.1743
Mycobacterium tuberculosisMycobacterium0.1284
Pedobacter kyungheensisPedobacter0.1192

Saved public metadata

{
  "run_accession": "SRR28267105",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210692",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "100798",
  "base_count": "165149498",
  "fastq_bytes": "139230579",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/005/SRR28267105/SRR28267105_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267105_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": "5f895c56333ae19ef4ad89e35c16a6bcbc4e6068e28d974d23e5bff9ec2efff3",
  "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": 8867,
    "elapsed_seconds": 1.8441343489998872,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 107,
      "fraction": 0.535,
      "adapters_found": {
        "RAP": 96,
        "BC_FLANK": 9,
        "27F": 1,
        "1492R_rc": 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."
}