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Quantitative & Computational Biology
BIOL 5005.007 MATH 6710.001 CSCE 5933.002
A course on biological sequences & their analysis
Instructor: Rajeev Azad ([email protected])
Tuesday & Thursday 11:00 AM – 12:20 PM at GAB 461
Office hours: 12:30 – 2:00 PM Tuesday & Thursday (GAB 434) or by appointment
Students taking this course
Math Biology Joseph Michael Czop Swapan Bhuiyan Viktoriya Golubenko Mehul Jani Marco Antonio Lopez Khem Lal Kadel Elizabeth Rasmussen Huaiying Lin Charles Immanual Rinerson Deena Lynn Rinerson Garima Girish Saxena
CSE Danyang Shao Prudhvi Venkata Lei Wang Sai Velupucharla Abdelrahman Obaid
Course objectives
• To help you understand interdisciplinary approaches to solving problems in biology
• To help you understand the essence of computational and mathematical methods in biology and medicine
• To familiarize you with principles and models underlying standard bioinformatics methods/algorithms
• To help you get practical experience of using bioinformatics tools for sequence analysis
Recommended Textbooks
• Bioinformatics and Functional Genomics Author: Jonathan Pevsner Publisher: Wiley-Blackwell • Biological Sequence Analysis: Probabilistic Models of Proteins and
Nucleic Acids Authors: Richard Durbin, Sean Eddy, Anders Krogh, Graeme Mitchison Publisher: Cambridge University Press • Statistical Methods in Bioinformatics Authors: Warren Ewens, Gregory Grant Publisher: Springer
Grading
25% class participation (15% attendance, 10% discussions) 10% in-class presentation 35% homework assignments 30% final project (25% work + written report +peer review, 5% presentation)
Bioinformatics: An interdisciplinary field for biological sequence analysis
• Bioinformatics is the interdisciplinary field of science which combines Biology, Computer Science, Mathematics, and other quantitative sciences to study biological sequences or data.
• The ultimate goal of the field is to enable the discovery of new biological insights as well as to create a global perspective from which unifying principles in biology can be discerned. (Source: NCBI)
Rui Kuang, UNM
Rui Kuang, UNM
Rui Kuang, UNM
Three perspectives on Bioinformatics
The Cell The Organism
The Tree of Life
J. Pevesner, www.bioinfbook.org
First perspective: the cell
www.bioinfbook.org
DNA RNA phenotype protein
www.bioinfbook.org
DNA molecule
DNA RNA protein
Central dogma of molecular biology
genome transcriptome proteome
Central dogma of bioinformatics and genomics www.bioinfbook.org
DNA RNA
cDNA ESTs UniGene
phenotype
genomic DNA databases
protein sequence databases
protein
www.bioinfbook.org
Omes and Omics • Genomics
– Primarily sequences (DNAs) – Databanks and search algorithms – Supports studies of molecular evolution (“Tree wars”)
• Functional Genomics (Transcriptomics) – Microarray data – Databanks, analysis tools, controlled terminologies
• Proteomics – Sequences (Protein) and structures – Mass spectrometry, X-ray crystallography – Databanks, knowledge bases, visualization
• Systems Biology (metabolomics) – Metabolites and interacting systems (interactomics) – Graphs, visualization, modeling, networks of entities
Joyce Mitchell, http://uuhsc.utah.edu/medinfo
http://genomesonline.org/
The Human Genome Project
3 billion bases 30,000 genes http://www.genome.gov/
Brian Rybarczyk, UNC
Rui Kuang, UNM
Rui Kuang, UNM
From genes to proteins
Vaisman, I., Bioinformatics tutorials
Intro to Bioinformatics – Sequence Alignment birg.cs.wright.edu/text/Ch2.ppt
Proteins are amino acid polymers
The genetic code
©Copyright 2009, Nature Education http://www.nature.com/scitable/content/the-genetic-code-6903567
Time of development
Body region, physiology, pharmacology, pathology
Second perspective: the organism
www.bioinfbook.org
After Pace NR (1997) Science 276:734
Third perspective: the tree of life
www.bioinfbook.org