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Knowledge of, understanding in, and approaches to following topics:
Genome Analysis: Chromatin, nucleosome, cell division, promoter, genes, chromosome, heterozygous vs. homozygous, genotype vs. phenotype, allele, SNPs, CNVs, Hardy-Weinberg equilibrium, Mendel, dominant, epigenetics, mobile elements and transposons, gene transfer, gene interaction, chromosomal basis of heredity, regulation of gene transcription, recombinant DNA technology, mechanisms of gene mutation, chromosome mapping, developmental genetics, population genetics, evolutionary genetics
Transcriptomics: Microarray techniques (Affymetrix, Illumina, Agilent, two-color), image processing (gridding, spot detection), background correction, normalization, summarization, gene expression profiles, differentially expressed genes, study design, gene selection, classification, alternative cdfs, informative-noninformative calls, present-absent calls, false discovery rate and its correction
Structural Bioinformatics: Databases for 3D structures, molecular viewers, protein classification, structural alignment, structure prediction, motif search, threading, ab initio prediction, protein folding, molecular dynamics, docking prediction (ligand, protein-protein, protein-DNA/RNA, drugs)
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