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Bioinformatics
Bioinformatics is the field of science in which biology,
computer science, and information technology merge into
a single discipline. While the scope of this interdisciplinary
field is very broad, there are three important sub-disciplines
within bioinformatics: (1) the development of new algorithms
and statistics with which to assess relationships among
members of large data sets; (2) the analysis and interpretation
of various types of data including nucleotide and amino
acid sequences and structures; protein domains, interactions
and networks; metabolic and disease pathways, etc; and
(3) the development and implementation of tools that
enable efficient access and management of different
types of information.
The bioinformatics program in the Department of Epidemiology
and Biostatistics is led by two faculty members, Dr.
Igor Kuznetsov and Dr.
Chittibabu Guda
both located in the Gen*NY*sis
Center for Excellence in Cancer Genomics. They are
working on a wide range of research projects that involve
developing bioinformatics tools for the analysis of
genomic data. Dr. Kuznetsov's research is focused on
the development of statistical and machine learning
methods for the analysis of protein sequences and structures,
large-scale genomic and proteomic datasets (including
disease-related datasets), and genome-wide functional
annotation. Dr. Guda's research focuses on the development
of novel computational methods for predicting protein
subcellular localization, inferring domain-domain interactions
and interaction sites, aligning protein structures,
and reconstructing metabolic and disease pathways in
humans.
Dr. Guda and Dr. Kuznetsov co-teach two graduate courses
on Bioinformatics along with Dr. George Berg from the
Department of Computer Science. In addition, Dr. Guda
teaches an introductory workshop on Bioinformatics and
Dr. Kuznetsov teaches Introductory Applied Statistics
for Laboratory Sciences.
These bioinformatics courses can be chosen as electives
by the students in Epidemiology and Biostatistics.
· BIO540-
Principles of Bioinformatics
· STA670-
Advanced Topics in Bioinformatics
· STA697- Introductory workshop on Bioinformatics
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