archAIons

SRR15676142 · Gut microbiome

Metagenome of Mus musculus

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 (%)
Ligilactobacillus murinusLigilactobacillus19.0793
Ligilactobacillus salivariusLigilactobacillus18.6354
Helicobacter pyloriHelicobacter9.0576
Helicobacter apodemusHelicobacter8.7674
Helicobacter canicolaHelicobacter7.4433
Helicobacter hepaticusHelicobacter7.0735
Mucispirillum schaedleriMucispirillum4.3671
Helicobacter fennelliaeHelicobacter3.7339
Ligilactobacillus saerimneriLigilactobacillus3.4624
Helicobacter apriHelicobacter3.2212
Helicobacter typhloniusHelicobacter3.0290
Helicobacter mastomyrinusHelicobacter1.8948
Ligilactobacillus acidipiscisLigilactobacillus1.6370
Ligilactobacillus agilisLigilactobacillus1.4322
Helicobacter bilisHelicobacter1.2844
Helicobacter macacaeHelicobacter1.2778
Ligilactobacillus aviariusLigilactobacillus1.2179
Helicobacter cholecystusHelicobacter1.2168
Helicobacter acinonychisHelicobacter1.1247
Ligilactobacillus faecisLigilactobacillus1.0443

Saved public metadata

{
  "run_accession": "SRR15676142",
  "study_accession": "PRJNA759117",
  "sample_accession": "SAMN21156605",
  "instrument_platform": "OXFORD_NANOPORE",
  "instrument_model": "MinION",
  "library_strategy": "AMPLICON",
  "library_source": "METAGENOMIC",
  "library_selection": "PCR",
  "read_count": "99629",
  "base_count": "162990739",
  "fastq_bytes": "171254351",
  "fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR156/042/SRR15676142/SRR15676142_1.fastq.gz",
  "sample_title": "Metagenome of Mus musculus",
  "scientific_name": "gut metagenome"
}

Public files

SRR15676142_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": "0f50662803518fcdce708a552f50a68002bbf43dd100c6d18cf5fac65cf302a9",
  "length_window_bp": [
    1200,
    2000
  ],
  "median_read_length": 1592.0,
  "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": 15457,
    "elapsed_seconds": 1.2212208929999804,
    "reads_submitted": 20000,
    "reads_after_filter": 20000,
    "adapter_scan": {
      "sampled": 200,
      "matched": 3,
      "fraction": 0.015,
      "adapters_found": {
        "27F": 3
      },
      "should_trim": false
    },
    "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."
}