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SRX17212763: Contamination simulation for Cutibacterium acnes in N/A
1 OXFORD_NANOPORE (MinION) run: 51 spots, 55,437 bases, 129,132b downloads

Design: RAB204
Submitted by: Singapore-MIT Alliance for Research and Technology
Study: Machine-learning based detection of adventitious microbes in T cell therapy cultures using long read sequencing
PRJNA869859 • SRP394009 • All experiments • All runs
show Abstracthide Abstract
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.
Sample:
SAMN30328962 • SRS14779981 • All experiments • All runs
Organism: Cutibacterium acnes
Library:
Name: CAMP250
Instrument: MinION
Strategy: AMPLICON
Source: METAGENOMIC
Selection: PCR
Layout: SINGLE
Runs: 1 run, 51 spots, 55,437 bases, 129,132b
Run# of Spots# of BasesSizePublished
SRR212017555155,437129,132b2023-05-25

ID:
24029897

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