archAIons

SRR28267244 · 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 (%)
Kocuria roseaKocuria10.7518
Kocuria variansKocuria9.3445
Janibacter hoyleiJanibacter6.8444
Brevibacterium daeguenseBrevibacterium6.0091
Corynebacterium bovisCorynebacterium5.2950
Arcobacter trophiarumArcobacter5.1498
Corynebacterium matruchotiiCorynebacterium3.3144
Corynebacterium ammoniagenesCorynebacterium2.4642
Corynebacterium resistensCorynebacterium2.3222
Propioniciclava sinopodophylliPropioniciclava2.0576
Brachybacterium sacelliBrachybacterium1.9623
Tessaracoccus aquimarisTessaracoccus1.9570
Tessaracoccus flavusTessaracoccus1.7183
Brevibacterium aviumBrevibacterium1.6285
Paracoccus kondratievaeParacoccus1.6018
Nocardioides marmoraquaticusNocardioides1.5355
Obesumbacterium proteusObesumbacterium1.3642
Paracoccus aestuariiParacoccus1.3372
Dietzia marisDietzia1.1955
Brevibacterium pityocampaeBrevibacterium1.1395
Brachybacterium murisBrachybacterium1.1023
Corynebacterium ureicelerivoransCorynebacterium1.0760
Corynebacterium striatumCorynebacterium1.0670
Neisseria dentiaeNeisseria1.0003
Elizabethkingia miricolaElizabethkingia0.9355
Luteipulveratus halotoleransLuteipulveratus0.9043
Gallicola barnesaeGallicola0.8809
Corynebacterium jeikeiumCorynebacterium0.8661
Corynebacterium argentoratenseCorynebacterium0.8553
Tessaracoccus lubricantisTessaracoccus0.8331
Arachidicoccus ginsenosidivoransArachidicoccus0.8263
Brevibacterium linensBrevibacterium0.7718
Corynebacterium kutscheriCorynebacterium0.7549
Corynebacterium amycolatumCorynebacterium0.7359
Brachybacterium aquaticumBrachybacterium0.7108
Corynebacterium afermentansCorynebacterium0.7060
Tessaracoccus profundiTessaracoccus0.7009
Neisseria lactamicaNeisseria0.6932
Brevibacterium metallicumBrevibacterium0.6427
Kocuria rhizophilaKocuria0.6370
Corynebacterium callunaeCorynebacterium0.6281
Corynebacterium glyciniphilumCorynebacterium0.5852
Brevibacterium aurantiacumBrevibacterium0.5846
Tessaracoccus flavescensTessaracoccus0.5749
Neisseria polysacchareaNeisseria0.5696
Propioniciclava tardaPropioniciclava0.5539
Kocuria indicaKocuria0.5385
Allofrancisella guangzhouensisAllofrancisella0.5276
Neisseria animalisNeisseria0.5229
Corynebacterium xerosisCorynebacterium0.5054
Dietzia luteaDietzia0.4911
Corynebacterium pilosumCorynebacterium0.4893
Paracoccus versutusParacoccus0.4718
Kocuria subflavaKocuria0.4599
Gleimia europaeaGleimia0.4521
Corynebacterium pseudopelargiCorynebacterium0.4517
Corynebacterium renaleCorynebacterium0.4391
Paracoccus chinensisParacoccus0.4310
Ottowia pentelensisOttowia0.4287
Neisseria meningitidisNeisseria0.4102
Brevibacterium iodinumBrevibacterium0.3946
Nocardioides tritoleransNocardioides0.3898
Brachybacterium ginsengisoliBrachybacterium0.3859
Corynebacterium diphtheriaeCorynebacterium0.3709
Brevibacterium mcbrellneriBrevibacterium0.3222
Epidermidibacterium keratiniEpidermidibacterium0.2962
Brachybacterium vulturisBrachybacterium0.2806
Janibacter indicusJanibacter0.2417
Arcobacter butzleriArcobacter0.2362
Nocardioides humiNocardioides0.2340
Enterococcus faeciumEnterococcus0.2339
Corynebacterium cystitidisCorynebacterium0.2305
Paracoccus sulfuroxidansParacoccus0.2117
Corynebacterium caseiCorynebacterium0.1882
Allofrancisella frigidaquaeAllofrancisella0.1748

Saved public metadata

{
  "run_accession": "SRR28267244",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210637",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "76763",
  "base_count": "125761258",
  "fastq_bytes": "105903217",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/044/SRR28267244/SRR28267244_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267244_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": "a125388499f068fcc34d0e73b09df623b2241351b2343bf2b4711f1efbe5d700",
  "length_window_bp": [
    1200,
    2000
  ],
  "median_read_length": 1644.0,
  "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": 6920,
    "elapsed_seconds": 1.6756338289997075,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 113,
      "fraction": 0.565,
      "adapters_found": {
        "27F": 6,
        "RAP": 96,
        "BC_FLANK": 11
      },
      "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."
}