archAIons

SRR28267169 · 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 indologenesChryseobacterium27.8227
Lysobacter panacisoliLysobacter6.7615
Comamonas testosteroniComamonas4.6058
Flavobacterium columnareFlavobacterium4.2581
Paracoccus kondratievaeParacoccus2.5589
Sphingobacterium multivorumSphingobacterium2.2516
Novosphingobium aromaticivoransNovosphingobium2.1756
Cylindrospermum alatosporumCylindrospermum2.0323
Sphingomonas paucimobilisSphingomonas1.9805
Flavobacterium frigidimarisFlavobacterium1.9044
Sphingobacterium thalpophilumSphingobacterium1.8999
Cylindrospermum majusCylindrospermum1.8714
Flavobacterium succinicansFlavobacterium1.7834
Bryobacter aggregatusBryobacter1.5704
Cylindrospermum marchicumCylindrospermum1.5228
Flavobacterium hercyniumFlavobacterium1.4810
Massilia variansMassilia1.4314
Chryseobacterium taklimakanenseChryseobacterium1.4221
Solimonas terraeSolimonas1.3671
Flavobacterium psychrophilumFlavobacterium1.2674
Solimonas aquaticaSolimonas1.1979
Kocuria roseaKocuria1.1123
Sphingobacterium mizutaiiSphingobacterium1.0364
Paracoccus aestuariiParacoccus0.9899
Sphingobacterium spiritivorumSphingobacterium0.9542
Flavobacterium johnsoniaeFlavobacterium0.9124
Methylotenera mobilisMethylotenera0.8376
Paracoccus versutusParacoccus0.7722
Planctopirus hydrillaePlanctopirus0.7590
Luteitalea pratensisLuteitalea0.7590
Pseudomonas aeruginosaPseudomonas0.7590
Kocuria variansKocuria0.7373
Paracoccus chinensisParacoccus0.7001
Pseudoxanthomonas indicaPseudoxanthomonas0.6805
Mesorhizobium waimenseMesorhizobium0.6369
Paracoccus hibisciParacoccus0.6309
Microlunatus parietisMicrolunatus0.6282
Gordonia terraeGordonia0.6020
Comamonas aquaticaComamonas0.5925
Novosphingobium fuchskuhlenseNovosphingobium0.5290
Phenylobacterium zucineumPhenylobacterium0.4947
Phenylobacterium aquaticumPhenylobacterium0.4923
Massilia niastensisMassilia0.4835
Fusobacterium nucleatumFusobacterium0.4711
Gemmatimonas aurantiacaGemmatimonas0.4711
Cylindrospermum moravicumCylindrospermum0.4462
Rheinheimera aestuariiRheinheimera0.4449
Phenylobacterium compostiPhenylobacterium0.4438
Terrimonas rubraTerrimonas0.4399
Terrimonas arcticaTerrimonas0.4319
Cylindrospermum pellucidumCylindrospermum0.4306
Flavobacterium flevenseFlavobacterium0.4303
Pedobacter kyungheensisPedobacter0.4275
Comamonas kerstersiiComamonas0.4203
Flavobacterium pectinovorumFlavobacterium0.4128
Microbacterium lindanitoleransMicrobacterium0.4013
Cylindrospermum licheniformeCylindrospermum0.3884
Piscinibacter aquaticusPiscinibacter0.3788
Piscinibacter gummiphilusPiscinibacter0.3540
Sphingobacterium cellulitidisSphingobacterium0.3403
Lysobacter antibioticusLysobacter0.3403
Caenimonas terraeCaenimonas0.3403
Parabacteroides merdaeParabacteroides0.3141
Devosia nitrariaeDevosia0.3141
Mucilaginibacter polysacchareusMucilaginibacter0.2879
Chryseobacterium balustinumChryseobacterium0.2788
Terrimonas rhizosphaeraeTerrimonas0.2362
Duganella phyllosphaeraeDuganella0.2314
Paracoccus sulfuroxidansParacoccus0.2197
Bacteroides timonensisBacteroides0.2181
Nocardioides marmoraquaticusNocardioides0.2094
Agrobacterium rubiAgrobacterium0.2007
Pseudonocardia compactaPseudonocardia0.1919
Paenibacillus methanolicusPaenibacillus0.1221
Nocardioides tritoleransNocardioides0.0960

Saved public metadata

{
  "run_accession": "SRR28267169",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210660",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "46650",
  "base_count": "76191124",
  "fastq_bytes": "65289802",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/069/SRR28267169/SRR28267169_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267169_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": "d5d1ccac2b235fdcd56745538dae228d64445300b79b64cbab85eb759ef8ad22",
  "length_window_bp": [
    1200,
    2000
  ],
  "median_read_length": 1641.0,
  "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": 8151,
    "elapsed_seconds": 1.996172290000004,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 97,
      "fraction": 0.485,
      "adapters_found": {
        "RAP": 85,
        "BC_FLANK": 8,
        "27F": 2,
        "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."
}