Stefan Bekiranov
SB

Stefan Bekiranov

Associate Professor
Unit: School of Medicine
Department: Department of Biochemistry and Molecular Genetics
Office location and address
1340 Jefferson Park Ave
Charlottesville, Virginia 22903
Education
BS, University of California, Los Angeles
PhD, University of California, Santa Barbara
Postdoc, University of Maryland
Postdoc, The Rockefeller University
IIS: Medium: Knowledge-Guided Meta-Learning for Multi-Omics Survival Analysis
Source: U.S. National Science Foundation (NSF)
October 01, 2021 – September 30, 2024
MD-BIOC Methods for Determining Transcription Factor-DNA Kinetics In Vivo
Source: U.S. NIH Institute of General Medical Science
April 01, 2014 – September 30, 2016
MD-BIOC Role of Novel Class of Short RNA, & RFs, In RNA Silencing
Source: U.S. NIH Cancer Institute
April 01, 2015 – June 30, 2015
CS 6501: Special Topics in Computer Science
Credits: 3
Course content varies by section and is selected to fill timely and special interests and needs of students. See CS 7501 for example topics. May be repeated for credit when topic varies. Prerequisite: Instructor permission.
DS 6999: Independent Study
Credits: 1–12
Graduate-level independent study conducted under the supervision of a specific instructor(s)
BIOC 8145: Bioinformatics and Functional Analysis of Genomes
Credits: 2
The class covers statistical and programming background as well as introduction to software tools for analysis of functional genomics data sets and will focus on analysis of high throughput sequence data including RNA-Seq and ChIP-Seq. Students will also learn how to further summarize their data from a regulatory network perspective by performing TF-DNA motif, metabolic/signaling pathway and gene ontology (GO) analysis. Prerequisite: Bioinformatics and Protein Structure or permission of instructor
BIMS 8601: Computational Genomics
Credits: 3
Students will learn foundational computational methods for analysis of data from genome, epigenome, and transcriptome sequencing experiments. The course will cover various biological data types, algorithms, statistical and computational methods, and application areas in genomics and systems biology. Prior coursework/experience in linear algebra, UNIX, and R and Python programming required.
BIMS 8993: Non-topical Research: Visiting Research Graduate Traineeship Program
Credits: 1–12
This course is for visiting research students participating in the BIMS Visiting Research Graduate Trianeeship Program (VRGTP). Students in this course are dual enrolled in their home institution and will participate in research for a minimum of 4 semesters. The research will assist them in completing their degree at their home institution. Non-degree students.
BIOC 9995: Topical Research: Biochemistry and Molecular Genetics
Credits: 3–12
Topical Research
BIOC 9998: Non-Topical Research: Preparation for Doctoral Research
Credits: 1–12
Non-Topical Research: Preparation for Doctoral Research
BIOC 9999: Non-Topical Research
Credits: 1–12
For doctoral dissertation, taken under the supervision of a dissertation director.
BIOP 9999: Non-Topical Research
Credits: 1–12
For doctoral research, taken under the supervision of a dissertation director.