Ela photo

Mihaela Pertea

Associate Professor

McKusick-Nathans
Institute of Genetic Medicine

Johns Hopkins University School of Medicine

Welch Medical Library, 1900 E. Monument St., Rm 109
Baltimore, MD 21205

Phone: (443) 287-0972    E-mail: mpertea jhu edu

Classroom

ME710.736 Introduction to programming for DNA sequence analysis.
Description: This course teaches participants the basic concepts of bioinformatics programming, and introduce them to computational tools that deal with large amounts of data. The goals of the class is to enable students to write basic programs in Perl, to adapt existing programs to their needs, and to interface Perl programs with standard bioinformatics packages such as BLAST and next-generation sequence programs.
Offered: Spring 2012, Spring 2013.

Online instruction

Python for Genomic Data Science
Description: This course is part of the MOOC Genomic Big Data Science Specialization offered by JHU through Coursera (coursera.org). It provides an introduction to the Python programming language to people who are not computer scientists but who want to analyze genomic data. The course teaches participants basic concepts of bioinformatics programming, and introduce them to computational tools that deal with large amounts of data. The goals of the class are to enable students to write basic programs in Python, to adapt existing programs to their needs, and to interface Python programs with various bioinformatics packages through the use of Biopython.