Data · dataset · 2024
PUPpy: a primer design pipeline for substrain-level microbial detection and absolute quantification
Listed in Borealis
Characterizing microbial communities at high-resolution is crucial to unravel the complexity and functional diversity of microbial ecosystems, providing valuable insights into human health and ecology.
Description
Over the last decades, advances in bulk sequencing assays, such as 16S rRNA and shotgun sequencing, have enabled unparalleled qualitative and quantitative investigations of microbial communities. However, these methods generally do not provide resolution beyond the genus- or species-level, only measure relative abundance, and do not account for spatial organization, overlooking intricate details and functional insights on the real gut microbial heterogeneity.
PUPpy (Phylogenetically Unique Primers in python) is a fully automated pipeline to design taxon-specific primers for any defined bacterial community. PUPpy-designed primers can be used to detect individual microbes and quantify absolute microbial abundance, providing more resolved and accurate quantification in gnotobiotic communities than 16S and shotgun sequencing.
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP3%2FHWXPV3 ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp3/hwxpv3 ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP3%2… ↗
metadata API · from borealisdata ca
Topics
- Stated by source
- Computer and Information Science · Medicine, Health and Life Sciences
- From keywords
- Economics & Finance · Life Sciences · Medicine & Health
- Inferred from text
- Microbial taxonomy 81% · Sequencing 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP3/HWXPV3 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:310409 | enrichment · borealisdata ca | taxonomy-embedding@1.1.0 | title+keywords+description (81%) |
| concepts[field].dataverse_subject:computer-and-information-science | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[modality].local:modality:sequencing | enrichment · borealisdata ca | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |