archAIons

SRR28267211 · 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 (%)
Chryseobacterium indologenesChryseobacterium42.5763
Niabella soliNiabella7.1617
Niabella drilacisNiabella4.6640
Niabella yanshanensisNiabella4.6083
Kocuria variansKocuria3.2597
Deinococcus wulumuqiensisDeinococcus2.9465
Kocuria roseaKocuria2.9021
Niabella tibetensisNiabella2.8795
Lysobacter panacisoliLysobacter2.6707
Variovorax guangxiensisVariovorax2.0041
Clostridium thermosuccinogenesClostridium1.7491
Paracoccus aestuariiParacoccus1.2539
Paracoccus kondratievaeParacoccus1.1861
Corynebacterium bovisCorynebacterium1.1379
Spirosoma spitsbergenseSpirosoma0.9889
Chryseobacterium bernardetiiChryseobacterium0.9874
Allofrancisella guangzhouensisAllofrancisella0.8947
Chryseobacterium jeoniiChryseobacterium0.8680
Asticcacaulis excentricusAsticcacaulis0.6727
Corynebacterium matruchotiiCorynebacterium0.6295
Citrobacter freundiiCitrobacter0.6002
Paracoccus versutusParacoccus0.5775
Chryseobacterium taklimakanenseChryseobacterium0.5575
Flavobacterium columnareFlavobacterium0.5004
Niabella aquaticaNiabella0.5002
Variovorax boronicumulansVariovorax0.4557
Tessaracoccus flavusTessaracoccus0.4490
Variovorax paradoxusVariovorax0.4396
Corynebacterium ammoniagenesCorynebacterium0.4369
Citrobacter europaeusCitrobacter0.4358
Tessaracoccus aquimarisTessaracoccus0.3985
Corynebacterium resistensCorynebacterium0.3902
Novosphingobium aromaticivoransNovosphingobium0.3633
Corynebacterium pseudopelargiCorynebacterium0.3565
Chryseobacterium molleChryseobacterium0.3498
Sphingomonas paucimobilisSphingomonas0.3229
Mucilaginibacter polysacchareusMucilaginibacter0.3202
Paracoccus chinensisParacoccus0.3148
Piscinibacter gummiphilusPiscinibacter0.3098
Chryseobacterium carnisChryseobacterium0.2932
Massilia variansMassilia0.2758
Paracoccus denitrificansParacoccus0.2615
Chryseobacterium balustinumChryseobacterium0.2609
Corynebacterium amycolatumCorynebacterium0.2574
Niabella hirudinisNiabella0.2563
Microbacterium lindanitoleransMicrobacterium0.2556
Paracoccus hibisciParacoccus0.2515
Clostridium sporogenesClostridium0.2422
Flavobacterium succinicansFlavobacterium0.2409
Niabella pedocolaNiabella0.2328
Kocuria rhizophilaKocuria0.2324
Propioniciclava sinopodophylliPropioniciclava0.2296
Nocardioides marmoraquaticusNocardioides0.2287
Paracoccus sulfuroxidansParacoccus0.2247
Tessaracoccus lubricantisTessaracoccus0.2212
Pedobacter kyungheensisPedobacter0.2180
Flavobacterium frigidimarisFlavobacterium0.2139
Piscinibacter aquaticusPiscinibacter0.2082
Kocuria indicaKocuria0.1923
Kocuria subflavaKocuria0.1816
Legionella bozemanaeLegionella0.1682
Mycobacterium tuberculosisMycobacterium0.1211
Bradyrhizobium elkaniiBradyrhizobium0.1144
Agrobacterium rubiAgrobacterium0.1076
Stenotrophomonas daejeonensisStenotrophomonas0.1076
Mesorhizobium waimenseMesorhizobium0.1009
Bacteroides timonensisBacteroides0.0942
Devosia nitrariaeDevosia0.0875

Saved public metadata

{
  "run_accession": "SRR28267211",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210569",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "68979",
  "base_count": "112385331",
  "fastq_bytes": "93134596",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/011/SRR28267211/SRR28267211_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267211_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": "550af2df43b4c97d9cb0a781cd0507cf482d7d1e5808d461773d949b170e130f",
  "length_window_bp": [
    1200,
    2000
  ],
  "median_read_length": 1637.0,
  "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": 4765,
    "elapsed_seconds": 2.059609247000026,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 99,
      "fraction": 0.495,
      "adapters_found": {
        "BC_FLANK": 4,
        "RAP": 86,
        "27F": 8,
        "NA_5p": 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."
}