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This Analysis of data from 38 field studies identifies key factors affecting the durability of Bt toxin pyramids, and should inform future resistance management strategies.
Combining four years of field data with computer modeling reveals that development of resistance to Bacillus thuringiensis insecticidal proteins (Bt) in cotton bollworm can be delayed by refuges of non-Bt host plants other than cotton, but that these so-called ‘natural refuges’ are not as effective as non-Bt cotton refuges.
A comparison of different ways of generating induced pluripotent stem cells helps researchers choose the most appropriate method for particular applications.
An open competition to predict the progression of amyotrophic lateral sclerosis (ALS, also known as Lou Gehrig's disease) disease from the largest database of ALS clinical trial data yields potential new biomarkers and algorithms that outperform human clinicians.
A new approach overcomes the hurdles of identifying large, complex structural variants in cancer genomes by directly comparing tumor and normal genome sequencing reads.
An elegant mathematical model supported by experiments in Escherichia coli demonstrates how clustering enzymes can efficiently channel intermediates from one enzyme to the next, facilitating rational engineering of metabolism.
Remove unwanted variation (RUV) is a new statistical method for RNA-seq data normalization that uses control genes or samples to improve differential expression analysis.
For several cancer types analyzed by The Cancer Genome Atlas project, predictions of patient survival were not substantially improved by using common data mining approaches to combine traditional clinical variables with molecular profiling data.
A community of researchers report the lessons learned from applying 44 algorithms to predict drug sensitivity in cancer cell lines using genomic, epigenetic and proteomic datasets
Zook et al. describe methods for integrating genome variants from five sequencing technologies to characterize the first benchmark sample that can be used to understand accuracy of human whole-genome and targeted sequencing.