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Modern techniques for analyzing biological specimens produce large amounts of data describing gene expression, genome sequences, molecular structures, and molecular interactions. Researchers in the field of bioinformatics develop methods and tools to manage and make meaning of this data. Computational biologists use this data to better understand living systems, while researchers in translational bioinformatics apply these insights to efforts to improve human health.

Recent publications and other works

journal article | 2021

McKinnon LM, Miller JB, Whiting MF, Kauwe JSK, Ridge PG

A comprehensive analysis of the phylogenetic signal in ramp sequences in 211 vertebrates

Sci Rep

 

journal article | 2020

Ellingson SR, Davis B, Allen J

Machine learning and ligand binding predictions: A review of data, methods, and obstacles

Biochimica et biophysica acta. General subjects

 

journal article | 2020

journal article | 2020

journal article | 2020

Mitchell JM, Flight RM, Moseley HNB

Deriving Lipid Classification Based on Molecular Formulas

Metabolites

 

journal article | 2020

Liu S, Liu J, Xie Y, Zhai T, Hinderer EW, Stromberg AJ, Vanderford NL, Kolesar JM, Moseley HNB, Chen L, Liu C, Wang C

MEScan: a powerful statistical framework for Genome-Scale mutual exclusivity analysis of cancer mutations

Bioinformatics (Oxford, England)

 

journal article | 2020

Zhong Y, Mohan K, Liu J, Al-Attar A, Lin P, Flight RM, Sun Q, Warmoes MO, Deshpande RR, Liu H, Jung KS, Mitov MI, Lin N, Butterfield DA, Lu S, Liu J, Moseley HNB, Fan TWM, Kleinman ME, Wang QJ

Loss of CLN3, the gene mutated in juvenile neuronal ceroid lipofuscinosis, leads to metabolic impairment and autophagy induction in retinal pigment epithelium

Biochimica et biophysica acta. Molecular basis of disease