Eric Talevich

Eric Talevich

Graduate Research Assistant

Bioinformatics


B.S. Applied Mathematics

I work in Dr. Kannan's Evolutionary Systems Biology Group (ESBG). I joined the Institute of Bioinformatics Ph.D. program at UGA in fall 2008.

Contact

Office: A318 Life Sciences Bldg.
E-mail: etal@uga.edu

Profile: Mendeley | LinkedIn

Lab website: http://esbg.bmb.uga.edu/

Research interests

Current research projects

My lab is investigating the structural and functional impact of variations in the amino acid sequences of protein kinases. In particular, we've studied how certain point mutations in EGFR, a receptor tyrosine kinase, can drive the development of cancer in human cells. I am currently following up these initial studies by developing a larger-scale method for identifying such oncogenic variations in newly sequenced protein kinase genes.

Separately, but using some approaches applied in our cancer work, I have investigated patterns of evolutionary divergence in the kinomes of several protozoan parasite species.

Other projects

For Google Summer of Code 2009, under the mentorship of National Evolutionary Synthesis Center (NESCent), I added support for the emerging PhyloXML format Biopython. Since then I've expanded the module and reorganized some existing code into a more general framework for phylogenetics, called Bio.Phylo.

If you'd like to generate a personal UGA MyWeb page like this one for yourself, try this handy web form. I wrote it for IOB students to use in fall 2008.

Presentation slides


Courses taken

ID Title Topics
BINF 8210 Computational Methods in Bioinformatics Sequence comparison and analysis, functional site prediction, structure prediction and analysis, biological data analysis
BINF 8211 Advanced Methods for Biological Data Analyses Gene finding, genomic rearrangements, microarray data analyses, protein function inference, protein-protein interaction prediction, pathway and network prediction, data mining tools
BINF 6040 Essential Biology for Quantitative Scientists Core concepts in molecular biology
BINF 8990 Bioinformatics Colloquium Weekly seminars by students and established researchers (alternating each week)
CHEM 8330 Molecular Modeling Homology modeling (MOE), MD simulation and refinement (Amber), ligand docking (AutoDock); analysis of model quality and simulation results
CSCI 6470 Algorithms Analysis techniques, design techniques (divide-and-conquer, dynamic programming, greedy, and branch-and-bound), sorting, basic graph algorithms, NP-completeness, approximation algorithms
CSCI 6490 Algorithms for Computational Biology Classical sequence comparison, multiple sequence alignment, DNA sequence assembly, DNA physical mapping, genome rearrangement, evolutionary tree construction, protein folding
FORS 8980 Functional Genomics Genomics technologies: gene discovery, transposable elements, ESTs, transcriptomics & microarray analysis, next-generation sequencing (NGS), alternative splicing, gene family evolution, RNA silencing & interference, forward & reverse genetics, proteomics & mass spectrometry, metabolomics, gene correlation networks, ecological genomics
GENE 8150 Fundamentals of Evolutionary Genetics Population genetics, evolutionary ecology, quantitative genetics, molecular evolution; analysis and visualization with R
GENE 8940 Applied Genome Analysis Genome sequence assembly, automated annotation, large-scale expression studies, proteomics, SNP and comparative genome analysis
GRSC 8550 Responsible Conduct of Research Codes of ethics for professional organizations, intellectual property, human and animal testing, development of personal professionalism and ethics
STAT 6320 Statistical Analysis II Linear regression; multiple regression; associated estimation and inference methods; model building, selection, and diagnostics; analysis of variance; the analysis of covariance; design of experiments; SAS
STAT 6630 Statistical Methods in Bioinformatics I Analysis of single DNA sequences, sequences alignment, BLAST searches, and related topics; simulations with R
STAT 6640 Statistical Methods in Bioinformatics II Sequence comparisons, DNA database searches, evolutionary models, phylogenetic tree construction and related topics