archAIons

SRR28267178 · 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 roseaKocuria11.6392
Kocuria variansKocuria8.3670
Chryseobacterium indologenesChryseobacterium6.9098
Granulicatella balaenopteraeGranulicatella5.3855
Corynebacterium bovisCorynebacterium5.2485
Neisseria dentiaeNeisseria3.6769
Gallicola barnesaeGallicola2.8863
Corynebacterium matruchotiiCorynebacterium2.8566
Peptostreptococcus anaerobiusPeptostreptococcus2.8337
Neisseria lactamicaNeisseria2.7552
Corynebacterium argentoratenseCorynebacterium2.6924
Tessaracoccus aquimarisTessaracoccus2.2726
Sphingobacterium thalpophilumSphingobacterium2.0416
Tessaracoccus flavusTessaracoccus1.9036
Granulicatella adiacensGranulicatella1.7907
Obesumbacterium proteusObesumbacterium1.6012
Corynebacterium resistensCorynebacterium1.5124
Sphingobacterium multivorumSphingobacterium1.4807
Corynebacterium ammoniagenesCorynebacterium1.4421
Corynebacterium amycolatumCorynebacterium1.3437
Paracoccus kondratievaeParacoccus1.3350
Paracoccus aestuariiParacoccus1.3230
Corynebacterium striatumCorynebacterium1.2700
Neisseria animalisNeisseria1.1233
Sphingobacterium mizutaiiSphingobacterium1.0966
Kocuria indicaKocuria0.9874
Bacteroides timonensisBacteroides0.9375
Luteipulveratus halotoleransLuteipulveratus0.9059
Fusobacterium nucleatumFusobacterium0.8988
Neisseria polysacchareaNeisseria0.8867
Neisseria meningitidisNeisseria0.8805
Kocuria rhizophilaKocuria0.8772
Corynebacterium jeikeiumCorynebacterium0.8530
Fusobacterium periodonticumFusobacterium0.8312
Glutamicibacter creatinolyticusGlutamicibacter0.7962
Clostridium thermosuccinogenesClostridium0.7901
Pseudomonas aeruginosaPseudomonas0.7479
Corynebacterium kutscheriCorynebacterium0.7256
Sphingobacterium spiritivorumSphingobacterium0.6797
Tessaracoccus lubricantisTessaracoccus0.6175
Vagococcus martisVagococcus0.6124
Vagococcus entomophilusVagococcus0.5882
Vagococcus fluvialisVagococcus0.5571
Campylobacter sputorumCampylobacter0.5267
Shewanella canadensisShewanella0.4861
Corynebacterium caseiCorynebacterium0.4783
Tessaracoccus profundiTessaracoccus0.4768
Parabacteroides merdaeParabacteroides0.4740
Paracoccus versutusParacoccus0.4600
Corynebacterium ureicelerivoransCorynebacterium0.4572
Shewanella sediminisShewanella0.4516
Corynebacterium glyciniphilumCorynebacterium0.4358
Tessaracoccus flavescensTessaracoccus0.4179
Glutamicibacter soliGlutamicibacter0.4152
Corynebacterium pilosumCorynebacterium0.4104
Vagococcus acidifermentansVagococcus0.3993
Chryseobacterium carnisChryseobacterium0.3798
Shewanella hanedaiShewanella0.3790
Kocuria subflavaKocuria0.3363
Corynebacterium afermentansCorynebacterium0.3296
Sphingobacterium cellulitidisSphingobacterium0.3266
Propioniciclava sinopodophylliPropioniciclava0.3055
Janibacter hoyleiJanibacter0.2950
Neisseria subflavaNeisseria0.2846
Arcobacter trophiarumArcobacter0.2679
Fusobacterium ulceransFusobacterium0.2459

Saved public metadata

{
  "run_accession": "SRR28267178",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210624",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "185703",
  "base_count": "305118104",
  "fastq_bytes": "257918805",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/078/SRR28267178/SRR28267178_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267178_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": "5e994276557408ebd8e0bce7be98893d11480f6f4a7d0536b93e6f70caa96827",
  "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": 10169,
    "elapsed_seconds": 1.6798204869992333,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 100,
      "fraction": 0.5,
      "adapters_found": {
        "BC_FLANK": 10,
        "RAP": 80,
        "27F": 8,
        "1492R_rc": 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."
}