archAIons

ERR16795861 · Gut microbiome

TBAGUMPS_042a_16s

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 (%)
Megamonas hypermegaleMegamonas23.9909
Faecalibacterium prausnitziiFaecalibacterium12.7196
Phocaeicola plebeiusPhocaeicola6.6824
Mediterraneibacter glycyrrhizinilyticusMediterraneibacter5.8559
Dorea formicigeneransDorea4.3307
Phocaeicola vulgatusPhocaeicola4.2872
Megasphaera elsdeniiMegasphaera4.0713
Blautia gluceraseaBlautia3.2642
Blautia productaBlautia3.2257
Catenibacterium mitsuokaiCatenibacterium2.7798
Streptococcus thermophilusStreptococcus2.7591
Lachnospira eligensLachnospira2.5364
Phocaeicola coprocolaPhocaeicola2.0818
Bifidobacterium longumBifidobacterium1.9200
Phascolarctobacterium succinatutensPhascolarctobacterium1.8676
Romboutsia timonensisRomboutsia1.5687
Phocaeicola massiliensisPhocaeicola1.5506
Ruminococcus bromiiRuminococcus1.5465
Ruminococcus callidusRuminococcus1.2610
Anaerobiospirillum thomasiiAnaerobiospirillum0.9861
Prevotella saccharolyticaPrevotella0.8209
Streptococcus salivariusStreptococcus0.8206
Ruminococcus champanellensisRuminococcus0.6567
Prevotella shahiiPrevotella0.6484
Paraprevotella xylaniphilaParaprevotella0.5815
Dysosmobacter welbionisDysosmobacter0.5330
Agathobacter ruminisAgathobacter0.4543
Megasphaera stantoniiMegasphaera0.4413
Flavonifractor plautiiFlavonifractor0.4119
Dorea longicatenaDorea0.3982
Blautia hanseniiBlautia0.3761
Prevotella oralisPrevotella0.3477
Parabacteroides distasonisParabacteroides0.3452
Megamonas funiformisMegamonas0.3388
Prevotella orisPrevotella0.3044
Collinsella aerofaciensCollinsella0.2968
Prevotella loescheiiPrevotella0.2711
Phocaeicola salanitronisPhocaeicola0.2495
Romboutsia lituseburensisRomboutsia0.2484
Dialister histaminiformansDialister0.2483
Succinivibrio dextrinosolvensSuccinivibrio0.2434
Phocaeicola sartoriiPhocaeicola0.2241
Anaerostipes hadrusAnaerostipes0.1999
Megamonas rupellensisMegamonas0.1882
Romboutsia sedimentorumRomboutsia0.1823
Phascolarctobacterium faeciumPhascolarctobacterium0.1437
Catenisphaera adipataccumulansCatenisphaera0.1396
Phocaeicola doreiPhocaeicola0.1395
Prevotella nigrescensPrevotella0.1333
Parabacteroides merdaeParabacteroides0.1272
Allocoprococcus comesAllocoprococcus0.1215
Fusobacterium mortiferumFusobacterium0.0787

Saved public metadata

{
  "run_accession": "ERR16795861",
  "study_accession": "PRJEB109268",
  "sample_accession": "SAMEA121950443",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "GridION",
  "library_strategy": "AMPLICON",
  "library_source": "METAGENOMIC",
  "library_selection": "PCR",
  "read_count": "77172",
  "base_count": "114411905",
  "fastq_bytes": "103883104",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/ERR167/061/ERR16795861/ERR16795861.fastq.gz",
  "sample_title": "TBAGUMPS_042a_16s",
  "scientific_name": "gut metagenome"
}

Public files

ERR16795861.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": "a107c75e720b6376fb317e87290e9672896d5f2af706f6535739f62c3df7f406",
  "length_window_bp": [
    1200,
    2000
  ],
  "median_read_length": 1493.0,
  "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": 3328,
    "elapsed_seconds": 2.0109730860000354,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 24,
      "fraction": 0.12,
      "adapters_found": {
        "27F": 14,
        "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."
}