archAIons

SRR28267245 · 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 variansKocuria34.0367
Kocuria roseaKocuria20.6018
Corynebacterium bovisCorynebacterium6.7808
Lactococcus garvieaeLactococcus3.5711
Corynebacterium matruchotiiCorynebacterium3.3825
Enterococcus faeciumEnterococcus2.7663
Corynebacterium ammoniagenesCorynebacterium2.2220
Obesumbacterium proteusObesumbacterium1.9817
Corynebacterium kutscheriCorynebacterium1.5113
Corynebacterium amycolatumCorynebacterium1.3059
Chryseobacterium indologenesChryseobacterium1.2966
Corynebacterium striatumCorynebacterium1.2470
Corynebacterium resistensCorynebacterium1.2444
Neisseria lactamicaNeisseria1.1799
Kocuria indicaKocuria1.0976
Kocuria rhizophilaKocuria1.0495
Corynebacterium argentoratenseCorynebacterium0.8312
Brachybacterium sacelliBrachybacterium0.8299
Kocuria subflavaKocuria0.7732
Lactococcus lactisLactococcus0.7225
Arcobacter trophiarumArcobacter0.6667
Neisseria animalisNeisseria0.6412
Neisseria dentiaeNeisseria0.6308
Corynebacterium callunaeCorynebacterium0.5827
Brooklawnia cerclaeBrooklawnia0.5810
Corynebacterium caseiCorynebacterium0.5310
Corynebacterium pilosumCorynebacterium0.5184
Corynebacterium jeikeiumCorynebacterium0.4987
Pseudomonas aeruginosaPseudomonas0.4404
Pantoea agglomeransPantoea0.4281
Corynebacterium afermentansCorynebacterium0.3584
Brachybacterium murisBrachybacterium0.3503
Granulicatella balaenopteraeGranulicatella0.3425
Paracoccus aestuariiParacoccus0.3374
Methylobacterium aerolatumMethylobacterium0.3242
Corynebacterium xerosisCorynebacterium0.3232
Sphingomonas paucimobilisSphingomonas0.3058
Corynebacterium pseudopelargiCorynebacterium0.2758
Corynebacterium cystitidisCorynebacterium0.2738
Paracoccus kondratievaeParacoccus0.2619
Brachybacterium ginsengisoliBrachybacterium0.2510
Variovorax guangxiensisVariovorax0.2446
Kocuria gwangalliensisKocuria0.2392
Lactococcus kimchiiLactococcus0.2283
Corynebacterium glyciniphilumCorynebacterium0.2263
Enterococcus alcedinisEnterococcus0.2245
Neisseria polysacchareaNeisseria0.2209
Corynebacterium ureicelerivoransCorynebacterium0.2168
Nocardioides marmoraquaticusNocardioides0.1835
Corynebacterium renaleCorynebacterium0.1834
Propioniciclava sinopodophylliPropioniciclava0.1774
Corynebacterium aurisCorynebacterium0.1652
Curtobacterium ammoniigenesCurtobacterium0.1284
Lactococcus taiwanensisLactococcus0.1264
Xanthomonas albilineansXanthomonas0.0795

Saved public metadata

{
  "run_accession": "SRR28267245",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210636",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "105576",
  "base_count": "174270777",
  "fastq_bytes": "133066410",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/045/SRR28267245/SRR28267245_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267245_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": "839037db321f2cc73cec7467f42625419f51943a5ebbe87cf8f5906829bc7d26",
  "length_window_bp": [
    1200,
    2000
  ],
  "median_read_length": 1656.0,
  "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": 3406,
    "elapsed_seconds": 2.025351044000672,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 103,
      "fraction": 0.515,
      "adapters_found": {
        "RAP": 94,
        "BC_FLANK": 9
      },
      "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."
}