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
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- journal article | 2019
- Identifying emerging phenomenon in long temporal phenotyping experiments
- Bioinformatics
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- journal article | 2018
- Characterization of Squamous Cell Lung Cancers from Appalachian Kentucky
- Cancer Epidemiology, Biomarkers & Prevention
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- journal article | 2017
- A fast and efficient Python library for interfacing with the Biological Magnetic Resonance Data Bank
- BMC Bioinformatics
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- journal article | 2017
- Aberrant coordination geometries discovered in the most abundant metalloproteins
- Proteins: Structure, Function, and Bioinformatics
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- journal article | 2017
- PhenoCurve: Capturing dynamic phenotype-environment relationships using phenomics data
- Bioinformatics
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- journal article | 2017
- Joint multi-leaf segmentation, alignment, and tracking from fluorescence plant videos
- IEEE Transactions on Pattern Analysis and Machine Intelligence
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- journal article | 2017
- Towards a better understanding of on and off target effects of the lymphocyte-specific kinase LCK for the development of novel and safer pharmaceuticals
- Procedia Computer Science
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- conference paper | 2016
- Constellation: A secure self-optimizing framework for genomic processing
- Proceedings of the 18th International Conference on e-Health Networking, Applications and Services (HealthCom 2016)