archAIons

SRR28267098 · 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 indologenesChryseobacterium17.5982
Mucilaginibacter polysacchareusMucilaginibacter12.3237
Gallicola barnesaeGallicola9.9927
Neisseria lactamicaNeisseria4.4748
Kocuria roseaKocuria3.8175
Arcobacter trophiarumArcobacter3.5183
Neisseria dentiaeNeisseria3.2163
Kocuria variansKocuria3.1784
Luteibacter anthropiLuteibacter2.5118
Rahnella variigenaRahnella2.2307
Lysobacter panacisoliLysobacter2.1853
Flavobacterium columnareFlavobacterium2.1554
Neisseria animalisNeisseria1.9646
Pasteurella multocidaPasteurella1.8587
Clostridium thermosuccinogenesClostridium1.7682
Niabella soliNiabella1.4760
Niabella drilacisNiabella1.3557
Nocardioides marmoraquaticusNocardioides1.1970
Mucilaginibacter soyangensisMucilaginibacter1.1523
Novosphingobium aromaticivoransNovosphingobium1.0627
Niabella yanshanensisNiabella1.0581
Pseudomonas aeruginosaPseudomonas1.0065
Variovorax guangxiensisVariovorax0.9612
Neisseria meningitidisNeisseria0.9101
Paracoccus kondratievaeParacoccus0.8855
Neisseria polysacchareaNeisseria0.7754
Paracoccus aestuariiParacoccus0.7665
Tessaracoccus aquimarisTessaracoccus0.7345
Mucilaginibacter xinganensisMucilaginibacter0.7180
Flavobacterium frigidimarisFlavobacterium0.6385
Chryseobacterium jeoniiChryseobacterium0.5890
Flavobacterium psychrophilumFlavobacterium0.5400
Corynebacterium bovisCorynebacterium0.5136
Flavobacterium succinicansFlavobacterium0.4998
Flavobacterium hercyniumFlavobacterium0.4828
Propioniciclava sinopodophylliPropioniciclava0.4806
Mucilaginibacter ginsenosidivoraxMucilaginibacter0.4427
Sphingobium xenophagumSphingobium0.3899
Neisseria zalophiNeisseria0.3718
Chryseobacterium balustinumChryseobacterium0.3648
Corynebacterium ammoniagenesCorynebacterium0.3585
Corynebacterium matruchotiiCorynebacterium0.3565
Niabella tibetensisNiabella0.3358
Tessaracoccus flavusTessaracoccus0.3355
Variovorax paradoxusVariovorax0.3265
Microbacterium lindanitoleransMicrobacterium0.3264
Kocuria rhizophilaKocuria0.3264
Rahnella aquatilisRahnella0.3264
Chryseobacterium bernardetiiChryseobacterium0.3263
Novosphingobium fuchskuhlenseNovosphingobium0.3246
Pasteurella bettyaePasteurella0.3085
Mucilaginibacter lappiensisMucilaginibacter0.3023
Chryseobacterium nakagawaiChryseobacterium0.2915
Neisseria subflavaNeisseria0.2889
Neisseria animalorisNeisseria0.2850
Paracoccus chinensisParacoccus0.2794
Mucilaginibacter frigoritoleransMucilaginibacter0.2496
Kocuria subflavaKocuria0.2448
Flavobacterium flevenseFlavobacterium0.2441
Spirosoma spitsbergenseSpirosoma0.2358
Devosia nitrariaeDevosia0.2267
Rhizobium leguminosarumRhizobium0.2267
Nocardioides tritoleransNocardioides0.2267
Dyadobacter jejuensisDyadobacter0.2096
Mucilaginibacter mallensisMucilaginibacter0.1996
Arachidicoccus ginsenosidivoransArachidicoccus0.1995
Dyadobacter tibetensisDyadobacter0.1894
Mycobacterium tuberculosisMycobacterium0.1814
Rhizobium leucaenaeRhizobium0.0997

Saved public metadata

{
  "run_accession": "SRR28267098",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210698",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "67433",
  "base_count": "110399266",
  "fastq_bytes": "93505930",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/098/SRR28267098/SRR28267098_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267098_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": "9d9da6a842e4da8bc6e7783f6d7e97b10f56f0b80dde5a8f9ce008e6ae39b9ac",
  "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": 8578,
    "elapsed_seconds": 1.813437853999858,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 117,
      "fraction": 0.585,
      "adapters_found": {
        "RAP": 98,
        "BC_FLANK": 13,
        "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."
}