archAIons

SRR28267121 · 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 indologenesChryseobacterium17.9799
Kocuria roseaKocuria10.6220
Kocuria variansKocuria10.5458
Arcobacter trophiarumArcobacter9.5596
Allofrancisella guangzhouensisAllofrancisella6.7872
Granulicatella balaenopteraeGranulicatella3.9245
Pseudomonas aeruginosaPseudomonas3.7163
Allofrancisella frigidaquaeAllofrancisella2.5666
Klebsiella variicolaKlebsiella2.2204
Klebsiella pneumoniaeKlebsiella2.1617
Brevibacterium daeguenseBrevibacterium1.4959
Brachybacterium murisBrachybacterium1.4630
Paracoccus kondratievaeParacoccus1.4620
Corynebacterium bovisCorynebacterium1.4008
Paracoccus aestuariiParacoccus1.3751
Dietzia marisDietzia1.3512
Granulicatella adiacensGranulicatella1.2769
Chryseobacterium balustinumChryseobacterium1.0791
Brachybacterium sacelliBrachybacterium1.0000
Propioniciclava sinopodophylliPropioniciclava0.9762
Janibacter hoyleiJanibacter0.9381
Tessaracoccus aquimarisTessaracoccus0.8438
Serratia ficariaSerratia0.6494
Tessaracoccus flavusTessaracoccus0.6084
Corynebacterium matruchotiiCorynebacterium0.5909
Arthrobacter russicusArthrobacter0.5797
Propioniciclava tardaPropioniciclava0.4896
Phocaeicola sartoriiPhocaeicola0.4835
Bradyrhizobium elkaniiBradyrhizobium0.4185
Paracoccus versutusParacoccus0.4177
Microbacterium lindanitoleransMicrobacterium0.4041
Brevibacterium mcbrellneriBrevibacterium0.3943
Kocuria indicaKocuria0.3791
Stenotrophomonas daejeonensisStenotrophomonas0.3753
Neisseria lactamicaNeisseria0.3752
Trichococcus flocculiformisTrichococcus0.3694
Kocuria subflavaKocuria0.3680
Kocuria rhizophilaKocuria0.3641
Chryseobacterium indoltheticumChryseobacterium0.3594
Arthrobacter ramosusArthrobacter0.3551
Brevibacterium aviumBrevibacterium0.3426
Corynebacterium striatumCorynebacterium0.3369
Sphingobacterium thalpophilumSphingobacterium0.3229
Corynebacterium argentoratenseCorynebacterium0.3060
Neisseria dentiaeNeisseria0.3044
Luteipulveratus halotoleransLuteipulveratus0.3017
Citrobacter freundiiCitrobacter0.2939
Paracoccus chinensisParacoccus0.2936
Parabacteroides merdaeParabacteroides0.2886
Paracoccus sulfuroxidansParacoccus0.2862
Neisseria animalisNeisseria0.2801
Brevibacterium pityocampaeBrevibacterium0.2703
Arcobacter butzleriArcobacter0.2666
Corynebacterium resistensCorynebacterium0.2645
Brachybacterium ginsengisoliBrachybacterium0.2627
Luteimonas aestuariiLuteimonas0.2598
Corynebacterium ammoniagenesCorynebacterium0.2578
Tessaracoccus lubricantisTessaracoccus0.2501
Flexivirga luteaFlexivirga0.2442
Tessaracoccus profundiTessaracoccus0.2378
Mucilaginibacter polysacchareusMucilaginibacter0.2237
Arcobacter anaerophilusArcobacter0.2167
Paracoccus denitrificansParacoccus0.2158
Paracoccus hibisciParacoccus0.2143
Brachybacterium aquaticumBrachybacterium0.1878
Arthrobacter alpinusArthrobacter0.1876
Halomonas nigrificansHalomonas0.1227
Methylorubrum podariumMethylorubrum0.1227
Pedobacter kyungheensisPedobacter0.1101

Saved public metadata

{
  "run_accession": "SRR28267121",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210604",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "69944",
  "base_count": "115270714",
  "fastq_bytes": "97162870",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/021/SRR28267121/SRR28267121_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267121_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": "1e26d7545176507fc3d2a13b3e424611e230de6b378fba39c4c30eaaff2d28ed",
  "length_window_bp": [
    1200,
    2000
  ],
  "median_read_length": 1651.0,
  "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": 5828,
    "elapsed_seconds": 1.871110723000129,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 109,
      "fraction": 0.545,
      "adapters_found": {
        "RAP": 94,
        "27F": 5,
        "BC_FLANK": 10
      },
      "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."
}