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ProteomicsLessons from Two Design-Build-Test-Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning
The Design–Build–Test–Learn (DBTL) cycle, facilitated by exponentially improving capabilities in synthetic biology, is an increasingly adopted metabolic engineering framework that represents a more systematic and efficient approach to strain development than historical efforts in biofuels and bio-ba...
ORGANISM(S): Escherichia Coli 
PXD012312 | panorama
GenomicsWhole genome sequencing - samples
Mutational landscapes of primary triple negative breast cancers - WGS
EGAD00001000115 | EGA
GenomicsRNA seq - samples
Mutational landscapes of primary triple negative breast cancers - RNA seq
EGAD00001000132 | EGA
GenomicsEGAD00010000148
tumour samples using Affymetrix Genome-Wide SNP6.0 arrays
EGAD00010000148 | EGA
GenomicsExome sequencing - samples
Mutational landscapes of primary triple negative breast cancers - Exomes
EGAD00001000113 | EGA
GenomicsThe clonal and mutational evolution spectrum of primary triple negative breast cancers
Primary triple negative breast cancers (TNBC) represent approximately 16% of all breast cancers and are a tumour type defined by exclusion,for which comprehensive landscapes of somatic mutation have not been determined. Here we show in 104 early TNBC cases, that at the time of diagnosis these cancer...
EGAS00001000132 | EGA
UnknownA Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers.
Not available
S-EPMC5959730 | biostudies-literature
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