archAIons

SRR28267115 · 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 (%)
Tessaracoccus aquimarisTessaracoccus7.8002
Corynebacterium bovisCorynebacterium6.8902
Tessaracoccus flavusTessaracoccus6.8843
Kocuria roseaKocuria5.7975
Kocuria variansKocuria5.5378
Paracoccus kondratievaeParacoccus4.5096
Paracoccus aestuariiParacoccus4.2024
Corynebacterium matruchotiiCorynebacterium3.4399
Corynebacterium argentoratenseCorynebacterium3.1519
Chryseobacterium indologenesChryseobacterium2.8655
Bacteroides timonensisBacteroides2.7706
Tessaracoccus lubricantisTessaracoccus2.6139
Neisseria dentiaeNeisseria2.3280
Neisseria lactamicaNeisseria2.1983
Tessaracoccus profundiTessaracoccus2.1008
Corynebacterium resistensCorynebacterium1.8553
Propioniciclava sinopodophylliPropioniciclava1.6672
Gallicola barnesaeGallicola1.6293
Corynebacterium ammoniagenesCorynebacterium1.5255
Tessaracoccus flavescensTessaracoccus1.5030
Corynebacterium amycolatumCorynebacterium1.4708
Corynebacterium kutscheriCorynebacterium1.3533
Kocuria rhizophilaKocuria1.3330
Corynebacterium striatumCorynebacterium1.3268
Paracoccus denitrificansParacoccus1.2991
Dietzia marisDietzia1.2031
Luteipulveratus halotoleransLuteipulveratus1.0801
Kocuria indicaKocuria1.0703
Kocuria subflavaKocuria1.0542
Paracoccus versutusParacoccus1.0094
Neisseria animalisNeisseria0.9188
Paracoccus chinensisParacoccus0.8472
Paracoccus hibisciParacoccus0.7607
Neisseria meningitidisNeisseria0.7156
Propioniciclava tardaPropioniciclava0.7080
Neisseria polysacchareaNeisseria0.6994
Corynebacterium pilosumCorynebacterium0.6295
Paracoccus sulfuroxidansParacoccus0.6013
Bacteroides fragilisBacteroides0.5746
Paracoccus liaowanqingiiParacoccus0.5214
Knoellia remsisKnoellia0.5202
Corynebacterium ureicelerivoransCorynebacterium0.4785
Campylobacter sputorumCampylobacter0.4779
Corynebacterium jeikeiumCorynebacterium0.4697
Dietzia luteaDietzia0.4562
Corynebacterium xerosisCorynebacterium0.4044
Bacteroides ovatusBacteroides0.3894
Neisseria zalophiNeisseria0.3548
Corynebacterium diphtheriaeCorynebacterium0.3368
Corynebacterium callunaeCorynebacterium0.3323
Falsirhodobacter halotoleransFalsirhodobacter0.3300
Tessaracoccus oleiagriTessaracoccus0.3110
Paracoccus thiocyanatusParacoccus0.3101
Corynebacterium afermentansCorynebacterium0.3094
Corynebacterium glyciniphilumCorynebacterium0.2912
Gleimia europaeaGleimia0.2897
Neisseria subflavaNeisseria0.2796
Corynebacterium caseiCorynebacterium0.2703
Kocuria gwangalliensisKocuria0.2679
Chryseobacterium balustinumChryseobacterium0.2480
Corynebacterium cystitidisCorynebacterium0.2432
Lysobacter panacisoliLysobacter0.2245
Corynebacterium singulareCorynebacterium0.2137
Corynebacterium pseudopelargiCorynebacterium0.2084
Corynebacterium aurisCorynebacterium0.2043
Chryseobacterium indoltheticumChryseobacterium0.2030
Corynebacterium renaleCorynebacterium0.1917
Bacteroides stercorisBacteroides0.1756
Paracoccus aminovoransParacoccus0.1708
Arcobacter trophiarumArcobacter0.1665
Tessaracoccus rhinocerotisTessaracoccus0.1551
Veillonella rodentiumVeillonella0.1448
Bradyrhizobium elkaniiBradyrhizobium0.1231

Saved public metadata

{
  "run_accession": "SRR28267115",
  "study_accession": "PRJNA1082425",
  "sample_accession": "SAMN40210610",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "GENOMIC",
  "library_selection": "PCR",
  "read_count": "29503",
  "base_count": "48052776",
  "fastq_bytes": "40071005",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/015/SRR28267115/SRR28267115_1.fastq.gz",
  "sample_title": "Metagenome or environmental sample from gut metagenome",
  "scientific_name": "gut metagenome"
}

Public files

SRR28267115_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": "c90620ddbe3d3a7172c30e676b5875ba9fcc503806f11f8c9dd0d3eee44f5be5",
  "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": 5921,
    "elapsed_seconds": 1.9235650840000744,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 104,
      "fraction": 0.52,
      "adapters_found": {
        "RAP": 89,
        "BC_FLANK": 10,
        "27F": 3,
        "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."
}