archAIons

SRR28267207 · 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 (%)
Arcobacter trophiarumArcobacter21.1708
Neisseria lactamicaNeisseria12.7689
Chryseobacterium indologenesChryseobacterium9.4496
Neisseria animalisNeisseria6.1335
Neisseria dentiaeNeisseria5.5844
Kocuria roseaKocuria4.4488
Kocuria variansKocuria3.7153
Klebsiella variicolaKlebsiella2.5607
Neisseria meningitidisNeisseria2.2915
Pasteurella multocidaPasteurella2.1611
Corynebacterium bovisCorynebacterium2.0261
Klebsiella pneumoniaeKlebsiella1.8221
Arcobacter butzleriArcobacter1.5989
Corynebacterium matruchotiiCorynebacterium1.2420
Neisseria polysacchareaNeisseria1.0794
Corynebacterium resistensCorynebacterium0.8616
Neisseria zalophiNeisseria0.8331
Enterococcus faeciumEnterococcus0.8164
Ottowia pentelensisOttowia0.7756
Gallicola barnesaeGallicola0.7592
Tessaracoccus aquimarisTessaracoccus0.7467
Tessaracoccus flavusTessaracoccus0.7334
Corynebacterium ammoniagenesCorynebacterium0.6994
Lysobacter panacisoliLysobacter0.6858
Lacibacter daechungensisLacibacter0.6325
Ferruginibacter yonginensisFerruginibacter0.5549
Granulicatella balaenopteraeGranulicatella0.5388
Neisseria subflavaNeisseria0.5317
Chryseobacterium balustinumChryseobacterium0.4954
Arcobacter halophilusArcobacter0.4907
Propioniciclava sinopodophylliPropioniciclava0.4720
Kocuria subflavaKocuria0.4653
Kocuria rhizophilaKocuria0.4582
Pasteurella bettyaePasteurella0.4233
Ferruginibacter lapsinanisFerruginibacter0.4208
Corynebacterium jeikeiumCorynebacterium0.4045
Corynebacterium callunaeCorynebacterium0.4042
Pasteurella dagmatisPasteurella0.3871
Corynebacterium argentoratenseCorynebacterium0.3781
Obesumbacterium proteusObesumbacterium0.3755
Snodgrassella alviSnodgrassella0.3732
Pseudomonas aeruginosaPseudomonas0.3674
Veillonella rodentiumVeillonella0.3429
Lacibacter cauensisLacibacter0.3365
Corynebacterium striatumCorynebacterium0.3312
Corynebacterium pseudopelargiCorynebacterium0.3302
Kocuria indicaKocuria0.3255
Neisseria animalorisNeisseria0.3251
Citrobacter freundiiCitrobacter0.3177
Corynebacterium glyciniphilumCorynebacterium0.2939
Chryseobacterium indoltheticumChryseobacterium0.2936
Corynebacterium amycolatumCorynebacterium0.2792
Corynebacterium afermentansCorynebacterium0.2747
Tessaracoccus profundiTessaracoccus0.2733
Propioniciclava tardaPropioniciclava0.2715
Chryseobacterium jeoniiChryseobacterium0.2683
Pasteurella oralisPasteurella0.2652
Corynebacterium xerosisCorynebacterium0.2548
Pasteurella caballiPasteurella0.2483
Tessaracoccus lubricantisTessaracoccus0.2298
Lactococcus garvieaeLactococcus0.1959
Sphingomonas paucimobilisSphingomonas0.1959
Citrobacter werkmaniiCitrobacter0.1816
Mesorhizobium waimenseMesorhizobium0.1796
Ferruginibacter profundusFerruginibacter0.1779
Pasteurella testudinisPasteurella0.1629
Mucilaginibacter polysacchareusMucilaginibacter0.1388
Novosphingobium aromaticivoransNovosphingobium0.1306
Mycobacterium tuberculosisMycobacterium0.1225
Microbacterium lindanitoleransMicrobacterium0.1143

Saved public metadata

{
  "run_accession": "SRR28267207",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210573",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "36604",
  "base_count": "60036159",
  "fastq_bytes": "49486619",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/007/SRR28267207/SRR28267207_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267207_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": "1c4875b0e1ae0aae88d821e42e8f1894925cb47120bc8402d8245bcf58390169",
  "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": 7488,
    "elapsed_seconds": 1.8467684180000106,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 117,
      "fraction": 0.585,
      "adapters_found": {
        "RAP": 87,
        "BC_FLANK": 24,
        "27F": 5,
        "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."
}