archAIons

SRR28267247 · 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 bovisCorynebacterium11.1094
Chryseobacterium indologenesChryseobacterium6.1597
Dietzia marisDietzia5.5820
Corynebacterium matruchotiiCorynebacterium5.5207
Kocuria roseaKocuria5.2786
Kocuria variansKocuria4.5411
Corynebacterium argentoratenseCorynebacterium4.4220
Corynebacterium ammoniagenesCorynebacterium4.1994
Corynebacterium ureicelerivoransCorynebacterium4.1957
Corynebacterium pilosumCorynebacterium4.1282
Propioniciclava sinopodophylliPropioniciclava3.8544
Arcobacter trophiarumArcobacter2.7227
Corynebacterium resistensCorynebacterium2.4796
Corynebacterium striatumCorynebacterium2.4133
Enterococcus faeciumEnterococcus2.1622
Corynebacterium amycolatumCorynebacterium1.8362
Citrobacter europaeusCitrobacter1.7765
Citrobacter freundiiCitrobacter1.6923
Corynebacterium jeikeiumCorynebacterium1.3298
Corynebacterium xerosisCorynebacterium1.0924
Gallicola barnesaeGallicola1.0160
Rhizobacter profundiRhizobacter1.0006
Sphingobacterium multivorumSphingobacterium0.9425
Corynebacterium caseiCorynebacterium0.9002
Corynebacterium kutscheriCorynebacterium0.8722
Tessaracoccus aquimarisTessaracoccus0.8441
Brachybacterium sacelliBrachybacterium0.8151
Corynebacterium afermentansCorynebacterium0.7721
Propioniciclava tardaPropioniciclava0.7404
Sphingobacterium thalpophilumSphingobacterium0.7031
Tessaracoccus flavusTessaracoccus0.6927
Microbacterium lindanitoleransMicrobacterium0.6797
Paracoccus aestuariiParacoccus0.6705
Flavobacterium columnareFlavobacterium0.6668
Paracoccus kondratievaeParacoccus0.6154
Corynebacterium diphtheriaeCorynebacterium0.5868
Novosphingobium aromaticivoransNovosphingobium0.5715
Corynebacterium glyciniphilumCorynebacterium0.5715
Sphingobacterium mizutaiiSphingobacterium0.5608
Corynebacterium callunaeCorynebacterium0.5318
Dietzia luteaDietzia0.4922
Epidermidibacterium keratiniEpidermidibacterium0.4683
Methylophilus glucosoxydansMethylophilus0.4366
Devosia nitrariaeDevosia0.4048
Brachybacterium ginsengisoliBrachybacterium0.4026
Tessaracoccus lubricantisTessaracoccus0.3980
Corynebacterium testudinorisCorynebacterium0.3910
Kocuria indicaKocuria0.3731
Corynebacterium lactisCorynebacterium0.3519
Pedobacter kyungheensisPedobacter0.3507
Chryseobacterium carnisChryseobacterium0.3493
Microbacterium gubbeenenseMicrobacterium0.3284
Neisseria lactamicaNeisseria0.2971
Enterococcus alcedinisEnterococcus0.2906
Neisseria dentiaeNeisseria0.2507
Brachybacterium murisBrachybacterium0.2492
Corynebacterium cystitidisCorynebacterium0.2353
Pseudomonas aeruginosaPseudomonas0.2302
Piscinibacter aquaticusPiscinibacter0.2276
Corynebacterium pseudopelargiCorynebacterium0.2189
Tessaracoccus profundiTessaracoccus0.2175
Sphingobacterium spiritivorumSphingobacterium0.2132
Mycobacterium tuberculosisMycobacterium0.1984
Corynebacterium renaleCorynebacterium0.1950
Corynebacterium doosanenseCorynebacterium0.1865
Corynebacterium aurisCorynebacterium0.1796
Brachybacterium aquaticumBrachybacterium0.1762
Massilia variansMassilia0.1746
Caulobacter mirabilisCaulobacter0.1746
Piscinibacter gummiphilusPiscinibacter0.1689
Allobosea thiooxidansAllobosea0.1191

Saved public metadata

{
  "run_accession": "SRR28267247",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210634",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "280613",
  "base_count": "460174400",
  "fastq_bytes": "387563005",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/047/SRR28267247/SRR28267247_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267247_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": "de5f72a644621a2c9c9b3ee2513484dc1cdb9a8cbb68b621f69a33021d1fc94f",
  "length_window_bp": [
    1200,
    2000
  ],
  "median_read_length": 1647.0,
  "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": 7159,
    "elapsed_seconds": 1.8523508250000305,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 96,
      "fraction": 0.48,
      "adapters_found": {
        "RAP": 86,
        "BC_FLANK": 8,
        "1492R_rc": 1,
        "27F": 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."
}