Keiji Takamoto

Greater New York City Area United States

Research Assistant Professor

Education

# Predicitive modeling of global sequence alignment score distributions as functions of sequence length, sequence sample space amino acid composition and substitution matrix (score type counts and distribution within matrix). # Sequence and structure correlation study (fixed length protein fragment structure and sequence pairwise alignments and their score distributions) # New strategy for small viral protein structure predictions (Novel "Consensus" approach for proteins with highly diverse sequence space) # B-cell population dynamics analysis by proteomic and genetic techniques, data analysis with population genomics/metagenomics-like approaches (NGS for immunoglobuline sequence space ...