archAIons

SRR28267214 · 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 indologenesChryseobacterium12.6899
Lysobacter panacisoliLysobacter4.2237
Corynebacterium bovisCorynebacterium3.8485
Niabella drilacisNiabella3.4759
Pedobacter kyungheensisPedobacter3.4527
Massilia variansMassilia3.0659
Variovorax guangxiensisVariovorax3.0576
Kocuria roseaKocuria3.0337
Mucilaginibacter polysacchareusMucilaginibacter2.9890
Kocuria variansKocuria2.6466
Corynebacterium matruchotiiCorynebacterium2.3966
Sphingomonas paucimobilisSphingomonas2.2089
Caulobacter mirabilisCaulobacter2.0737
Niabella yanshanensisNiabella1.9782
Niabella soliNiabella1.9120
Corynebacterium ammoniagenesCorynebacterium1.8211
Flavobacterium columnareFlavobacterium1.7634
Chthoniobacter flavusChthoniobacter1.4973
Corynebacterium resistensCorynebacterium1.4243
Caballeronia glatheiCaballeronia1.4233
Paracoccus kondratievaeParacoccus1.2417
Bryobacter aggregatusBryobacter1.2214
Sphingobium xenophagumSphingobium1.1758
Pseudomonas aeruginosaPseudomonas1.1183
Stenotrophomonas daejeonensisStenotrophomonas1.1091
Corynebacterium jeikeiumCorynebacterium0.9725
Corynebacterium argentoratenseCorynebacterium0.9474
Tessaracoccus flavusTessaracoccus0.9076
Flavobacterium succinicansFlavobacterium0.8958
Desulfomonile tiedjeiDesulfomonile0.8858
Corynebacterium striatumCorynebacterium0.8326
Paracoccus aestuariiParacoccus0.8205
Variovorax paradoxusVariovorax0.7814
Spirosoma spitsbergenseSpirosoma0.7671
Romboutsia sedimentorumRomboutsia0.7579
Flavobacterium frigidimarisFlavobacterium0.7395
Niabella tibetensisNiabella0.7219
Corynebacterium amycolatumCorynebacterium0.7081
Cutibacterium acnesCutibacterium0.7024
Bradyrhizobium elkaniiBradyrhizobium0.6839
Caulobacter henriciiCaulobacter0.6804
Massilia niastensisMassilia0.6772
Bdellovibrio bacteriovorusBdellovibrio0.6654
Corynebacterium callunaeCorynebacterium0.6305
Rhizobium leguminosarumRhizobium0.6192
Luteolibacter cuticulihirudinisLuteolibacter0.6099
Tessaracoccus aquimarisTessaracoccus0.6053
Steroidobacter denitrificansSteroidobacter0.5915
Sphingobium chlorophenolicumSphingobium0.5894
Corynebacterium pseudopelargiCorynebacterium0.5364
Deinococcus wulumuqiensisDeinococcus0.5083
Ferruginibacter lapsinanisFerruginibacter0.4975
Nitrospira japonicaNitrospira0.4898
Veillonella rodentiumVeillonella0.4806
Nocardioides marmoraquaticusNocardioides0.4621
Ralstonia solanacearumRalstonia0.4583
Paracoccus versutusParacoccus0.4338
Corynebacterium singulareCorynebacterium0.4158
Variovorax boronicumulansVariovorax0.4124
Novosphingobium aromaticivoransNovosphingobium0.4067
Flavobacterium hercyniumFlavobacterium0.4065
Flavobacterium psychrophilumFlavobacterium0.3999
Kocuria rhizophilaKocuria0.3974
Chryseobacterium jeoniiChryseobacterium0.3785
Pedobacter caeniPedobacter0.3605
Microbacterium lindanitoleransMicrobacterium0.3604
Parabacteroides merdaeParabacteroides0.3512
Hymenobacter kanuolensisHymenobacter0.3327
Ferruginibacter yonginensisFerruginibacter0.3308
Ralstonia pseudosolanacearumRalstonia0.3209
Corynebacterium diphtheriaeCorynebacterium0.3154
Tessaracoccus profundiTessaracoccus0.3079
Corynebacterium kutscheriCorynebacterium0.3045
Ralstonia syzygiiRalstonia0.3025
Rickettsia peacockiiRickettsia0.2957
Actinomycetospora iriomotensisActinomycetospora0.2957
Tessaracoccus lubricantisTessaracoccus0.2900
Corynebacterium xerosisCorynebacterium0.2843
Occallatibacter savannaeOccallatibacter0.2731
Corynebacterium glyciniphilumCorynebacterium0.2704
Lysobacter enzymogenesLysobacter0.2680
Corynebacterium renaleCorynebacterium0.2667
Bacteroides timonensisBacteroides0.2588
Klebsiella pneumoniaeKlebsiella0.2403
Paracoccus chinensisParacoccus0.2396
Corynebacterium afermentansCorynebacterium0.2341
Corynebacterium pilosumCorynebacterium0.2270
Massilia oculiMassilia0.2218
Alistipes inopsAlistipes0.2218
Klebsiella variicolaKlebsiella0.2218
Tessaracoccus flavescensTessaracoccus0.2086
Ferruginibacter profundusFerruginibacter0.2057
Gleimia europaeaGleimia0.2033
Occallatibacter ripariusOccallatibacter0.1890
Mycobacterium tuberculosisMycobacterium0.1756
Rhizobium leucaenaeRhizobium0.1664
Mesorhizobium waimenseMesorhizobium0.1294

Saved public metadata

{
  "run_accession": "SRR28267214",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210566",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "26053",
  "base_count": "42648197",
  "fastq_bytes": "37122431",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/014/SRR28267214/SRR28267214_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267214_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": "1e863332d26e3f1b158dbcf6cd4de831a90647976f7f44e60cd8fb13971161c7",
  "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": 8685,
    "elapsed_seconds": 1.8555475509992903,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 98,
      "fraction": 0.49,
      "adapters_found": {
        "RAP": 83,
        "27F": 2,
        "BC_FLANK": 13
      },
      "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."
}