Bioinformatics Workshop 2013: Difference between revisions

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===Background===
===Background===
Biomedical research is becoming a high-throughput science. As a result, information technology plays an increasingly important role in biomedical discovery. Bioinformatics is a new interdisciplinary field formed by the merging of  molecular biology and computer science techniques.Today’s biology students must therefore not only learn to perform in''vivo'' and  in''vitro'', but also in silico research skills. Quantitative/computational biologists are expected to be in increasing demand in the 21st century
Biomedical research is becoming a high-throughput science. As a result, information technology plays an increasingly important role in biomedical discovery. Bioinformatics is a new interdisciplinary field formed by the merging of  molecular biology and computer science techniques.Today’s biology students must therefore not only learn to perform in ''vivo'' and  in''vitro'', but also in silico research skills. Quantitative/computational biologists are expected to be in increasing demand in the 21st century


===Contents===
===Contents===

Revision as of 18:23, 2 June 2013

Summer Bioinformatics Biology (BIOL 470.83/790.86, Spring 2013)
Instructors: Che Martin & Slav Kendal
Room:1000G HN (10th Floor, North Building
Hours: Tues & Thur 11:30 am-15:00
Office Hours: Room 830 HN; Tuesday 3-5pm or by appointment
Contacts: Mr Martin: cmartin@gc.cuny.edu; Mr Kendal: skendall@hunter.cuny.edu

Course Description

Background

Biomedical research is becoming a high-throughput science. As a result, information technology plays an increasingly important role in biomedical discovery. Bioinformatics is a new interdisciplinary field formed by the merging of molecular biology and computer science techniques.Today’s biology students must therefore not only learn to perform in vivo and invitro, but also in silico research skills. Quantitative/computational biologists are expected to be in increasing demand in the 21st century

Contents

This course will introduce both bioinformatics theories and practices. Topics include: database searching, sequence alignment, molecular phylogenetics, structure prediction, and microarray analysis. The course is held in a UNIX-based instructional lab specifically configured for bioinformatics applications. Each session consists of a first-half instruction on bioinformatics theories and a second-half session of hands-on exercises.

Learning Goals

Students are expected to be able to:

  • Approach biological questions evolutionarily ("Tree-thinking")
  • Evaluate and interpret computational results statistically ("Statistical-thinking")
  • Formulate informatics questions quantitatively and precisely ("Abstraction")
  • Design efficient procedures to solve problems ("Algorithm-thinking")
  • Manipulate high-volume textual data using UNIX tools, Perl/BioPerl, R, and Relational Database ("Data Visualization")

Pre-requisites

This 3-credit course is designed for upper-level undergraduates and graduate students. Prior experiences in the UNIX Operating System and at least one programming language are required. Hunter pre-requisites are CSCI132 (Practical Unix and Perl Programming) and BIOL300 (Biochemistry) or BIOL302 (Molecular Genetics), or permission by the instructor.

Textbook

Krane & Raymer (2003). Fundamental Concepts of Bioinformatics. Pearson Education, Inc. (ISBN 0-8053-4633-3)

This book should be available in the Hunter Bookstore, as well as through several popular retailers and resellers online.