Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
Alain B. Tchagang, Alexander Gawronski, Hugo B&eac...
Correlations of gene-to-gene co-expression and metabolite-to-metabolite co-accumulation calculated from large amounts of transcriptome and metabolome data are useful for uncoverin...
Background: The analysis of expressed sequence tags (EST) offers a rapid and cost effective approach to elucidate the transcriptome of an organism, but requires several computatio...
Shivashankar H. Nagaraj, Robin B. Gasser, Alasdair...
A challenge in data analysis and visualization is to build new-generation software tools and systems to truly accelerate scientific discoveries. The recent focus of Princeton’s ...
Grant Wallace, Matthew A. Hibbs, Maitreya J. Dunha...
Molecular and computational biologists develop new insights by gathering heterogeneous data from genomic databases and leveraging bioinformatics tools. Through a qualitative study...
Orit Shaer, Guy Kol, Megan Strait, Chloe Fan, Cath...