Machine-learning based detection of adventitious microbes in T cell therapy cultures using long read sequencing

The goal of this work was to develop an approach for the rapid and sensitive detection of microbial contaminants at low abundance from low volume of samples during the manufacturing process.

Identifier
Source https://data.blue-cloud.org/search-details?step=~01258F6C9BAE6ECA6982AB878A672D2CC47857E4FB5
Metadata Access https://data.blue-cloud.org/api/collections/58F6C9BAE6ECA6982AB878A672D2CC47857E4FB5
Provenance
Instrument MinION; OXFORD_NANOPORE
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Contributor Singapore-MIT Alliance for Research and Technology
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science
Spatial Coverage (103.820W, 1.352S, 103.820E, 1.352N)
Temporal Coverage Begin 2020-04-03T00:00:00Z
Temporal Coverage End 2023-06-21T00:00:00Z