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Assistant Professor
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| I am interested in applying computational techniques towards modeling and solving biological problems. In particular, my work revolves around designing methods and tools for: i) sequence and genome analysis; ii) alternative splicing identification and characterization; iii) comparative analyses of bacterial genomes, and iv) computational vaccine design. |
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Sequence and Genome Analysis
The sequencing of human and several other vertebrate genomes is creating opportunities like never before for comparative studies at the whole-genome scale. Such studies aim at identifying and characterizing commonalities and differences at either global or local scale, to predict functional sequence elements and to infer evolutionary relationships between species by exploring patterns of sequence re-arrangement and variation. We have developed and will continue to design and develop tools for comparing and annotating biological sequences that are fast, accurate and scalable, and thus capable of efficiently handling the wealth of new data.
Selected publications:
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| Alternative Splicing Alternative splicing, the process by which a gene can create multiple
mRNA and protein isoforms by selecting different combinations of exons,
is a growing area of research with the promise to explain how a
limited set of genes can produce the large repertoire of proteins in the cell.
Alternatively spliced isoforms have also been associated with certain diseases.
We have developed methods for annotating genomes with gene and
alternative splicing information, and we will use them to further explore regulatory
mechanisms that control splicing.
Selected publications:
Tools: |
| Bacterial Genomics
The Enterix visualization suite consists of three web servers
that display alignment information from 28 Enterobacterial genomes,
together with annotations of genes and other functional or conserved
elements. These sets of alignments and annotations have supported
comparative genomics analyses to determine orthologous relationships
and to validate the gene sets.
Selected publications:
Tools:
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| Computational Vaccine Design Computational methods are reducing the time to biological discovery
by directing wet lab experiments to selected areas of interest.
This reduction in search space is particularly important when protein
sequences are involved, where the size of the alphabet can lead
to a very large set of candidates. Starting from a set of
sequences of known epitopes and using the protein sets in the human
genome and in the genomes of its pathogens, we developed algorithms to
predict T-cell epitopes for Class I immunogenicity and studied their
signatures in the target genome and across genomes.
Selected publications:
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