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Items: 3

1.

High-throughput laboratory evolution reveals global evolutionary constraints for antibiotic resistance

(Submitter supplied) Understanding constraints which shape antibiotic resistance is key for predicting and controlling drug resistance. Here, we performed high-throughput laboratory evolution of Escherichia coli. The transcriptome, resistance, and genomic profiles for the evolved strains in 48 environments were quantitatively analyzed. By analyzing the quantitative datasets through interpretable machine learning techniques, the emergence of low dimensional phenotypic states within the 192 strains was observed. more...
Organism:
Escherichia coli
Type:
Expression profiling by array
Platform:
GPL18948
196 Samples
Download data: TXT
Series
Accession:
GSE137348
ID:
200137348

PubMed Full text in PMC Similar studies Analyze with GEO2R

2.

Agilent-043017 QBiC 8 x 60k E.coli K-12 Expression Ver.1

(Submitter supplied) http://www.genomics.agilent.com/article.jsp?pageId=2011
Organism:
Escherichia coli
7 Series
399 Samples
Download data: TXT
Platform
Accession:
GPL18948
ID:
100018948

3.

Protamine Sulfate, from Salmon (PS) evolved strain Line2

Organism:
Escherichia coli
Source name:
PSE2
Platform:
GPL18948
Series:
GSE137348
Download data: TXT
Sample
Accession:
GSM4076574
ID:
304076574

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db=gds|term=GSM4076574[Accession]|query=1|qty=2|blobid=MCID_6749200186d4ad4f7f572b9b|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
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