SRR28267232 · 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
| Species | Genus | Abundance (%) |
|---|---|---|
| Chryseobacterium indologenes | Chryseobacterium | 21.7136 |
| Campylobacter sputorum | Campylobacter | 11.2676 |
| Niabella drilacis | Niabella | 4.8656 |
| Niabella soli | Niabella | 4.4207 |
| Flavobacterium columnare | Flavobacterium | 4.1373 |
| Campylobacter curvus | Campylobacter | 3.7479 |
| Massilia varians | Massilia | 2.8639 |
| Niabella yanshanensis | Niabella | 2.4473 |
| Variovorax guangxiensis | Variovorax | 2.4108 |
| Pedobacter kyungheensis | Pedobacter | 2.3818 |
| Neisseria lactamica | Neisseria | 1.8978 |
| Flavobacterium frigidimaris | Flavobacterium | 1.8621 |
| Lysobacter panacisoli | Lysobacter | 1.8467 |
| Neisseria dentiae | Neisseria | 1.5643 |
| Mucilaginibacter polysacchareus | Mucilaginibacter | 1.5188 |
| Flavobacterium succinicans | Flavobacterium | 1.3826 |
| Chryseobacterium jeonii | Chryseobacterium | 1.3103 |
| Flavobacterium psychrophilum | Flavobacterium | 1.2969 |
| Niabella tibetensis | Niabella | 1.2784 |
| Paracoccus aestuarii | Paracoccus | 1.2179 |
| Campylobacter concisus | Campylobacter | 1.1391 |
| Paracoccus kondratievae | Paracoccus | 1.0917 |
| Neisseria meningitidis | Neisseria | 1.0710 |
| Terrimonas rubra | Terrimonas | 1.0455 |
| Flavobacterium hercynium | Flavobacterium | 0.9850 |
| Neisseria animalis | Neisseria | 0.9747 |
| Roseateles puraquae | Roseateles | 0.9665 |
| Methylotenera mobilis | Methylotenera | 0.9147 |
| Microbacterium lindanitolerans | Microbacterium | 0.8802 |
| Novosphingobium aromaticivorans | Novosphingobium | 0.8630 |
| Ferruginibacter lapsinanis | Ferruginibacter | 0.8005 |
| Stenotrophomonas daejeonensis | Stenotrophomonas | 0.7247 |
| Sphingobacterium thalpophilum | Sphingobacterium | 0.7095 |
| Ferruginibacter yonginensis | Ferruginibacter | 0.7071 |
| Sphingobacterium multivorum | Sphingobacterium | 0.7017 |
| Variovorax paradoxus | Variovorax | 0.7007 |
| Massilia niastensis | Massilia | 0.6742 |
| Ferruginibacter profundus | Ferruginibacter | 0.6607 |
| Campylobacter fetus | Campylobacter | 0.6559 |
| Terrimonas lutea | Terrimonas | 0.6504 |
| Terriglobus roseus | Terriglobus | 0.6386 |
| Pseudomonas aeruginosa | Pseudomonas | 0.6041 |
| Chryseolinea serpens | Chryseolinea | 0.6041 |
| Neisseria polysaccharea | Neisseria | 0.5675 |
| Terrimonas rhizosphaerae | Terrimonas | 0.5632 |
| Hyphomicrobium denitrificans | Hyphomicrobium | 0.5350 |
| Paracoccus versutus | Paracoccus | 0.5209 |
| Flavobacterium pectinovorum | Flavobacterium | 0.5051 |
| Stenotrophomonas maltophilia | Stenotrophomonas | 0.4662 |
| Variovorax boronicumulans | Variovorax | 0.4439 |
| Niabella hirudinis | Niabella | 0.3895 |
| Sphingobacterium mizutaii | Sphingobacterium | 0.3838 |
| Flavobacterium flevense | Flavobacterium | 0.3763 |
| Byssovorax cruenta | Byssovorax | 0.3279 |
| Caballeronia glathei | Caballeronia | 0.2934 |
| Gallicola barnesae | Gallicola | 0.2244 |
| Luteimonas chenhongjianii | Luteimonas | 0.2071 |
Saved public metadata
{
"run_accession": "SRR28267232",
"study_accession": "PRJNA1082425",
"sample_accession": "SAMN40210648",
"instrument_platform": "OXFORD_NANOPORE",
"instrument_model": "GridION",
"library_strategy": "AMPLICON",
"library_source": "GENOMIC",
"library_selection": "PCR",
"read_count": "13910",
"base_count": "22481046",
"fastq_bytes": "19508373",
"fastq_ftp": "ftp.sra.ebi.ac.uk/vol1/fastq/SRR282/032/SRR28267232/SRR28267232_1.fastq.gz",
"sample_title": "Metagenome or environmental sample from gut metagenome",
"scientific_name": "gut metagenome"
}Public files
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": "8a8aeecf221d31eb74c03c2db13a541db3ea79f1e1b1a4be683133032bf3c678",
"length_window_bp": [
1200,
2000
],
"median_read_length": 1632.0,
"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": 13910,
"reads_skipped": 7727,
"elapsed_seconds": 1.1933070349999753,
"reads_submitted": 13910,
"reads_after_filter": 13910,
"adapter_scan": {
"sampled": 200,
"matched": 118,
"fraction": 0.59,
"adapters_found": {
"RAP": 107,
"BC_FLANK": 3,
"1492R_rc": 1,
"27F": 6,
"NA_5p": 1
},
"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."
}