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Introduction to Bioinformatics

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1 Introduction to Bioinformatics
BI420 – Introduction to Bioinformatics Introduction to Bioinformatics BI Fall Semester Boston College

2 BI420 – Course information
Instructor: Prof. Gabor Marth Teaching assistant: Jiantao Wu Wiki site with updated syllabus and powerpoints: This will be updated regularly and will supersede printed syllabus. You are expected to keep up with any changes made there.

3 BI420 – Material Introduction to Computational Genomics:
Cristianini and Hahn Additional materials:

4 BI420 – Material (cont’d) Recommended books
Primary literature, both mandatory and optional (see Syllabus) Reference materials (for Practical Bioinformatics) Lecture PPTs will be online

5 BI420 – Grading Homework (4): 40% Midterm exams (3): 45%
In-class presence & participation: 15%

6 BI420 – Software MATLAB Install this and view the “demo” by next class. To do this type “demo” at the MATLAB command line. UNIX/PERL We will introduce these when we get to the Practical Bioinformatics section

7 Genomes and Genes

8 The animal cell

9 DNA – the carrier of the genetic code

10 DNA organization – chromosomes

11 DNA organization – mitochondria

12 Translation of genetic information

13 Gene organization

14 Protein structure

15 RNA structure

16 Gene prediction, genome annotation

17 The informatics of DNA sequencing
Steps in the production and analysis of sequencing data

18 Genetic variation discovery & analysis
look at multiple sequences from the same genome region use base quality values to decide if mismatches are true polymorphisms or sequencing errors

19 Gene expression Expression profiling technologies and analysis approaches

20 Classical Bioinformatics Methods

21 Sequence alignment and similarity search
Given a sequence, how can one tell which species it comes from? How can one identify evolutionarily related sequences?

22 Biologically significant alignment

23 Storage/retrieval of biological data
August 2010 Genbank whole-genome sequences: 169 billion bp Genbank other sequences: 117 billion bp Gene expression omnibus: 480,000 samples (microarray, RNA-seq, ChIP-chip, ChIP-seq, RIP-seq, etc.)

24 The Tree of Life

25 Evolution of chromosome organization

26 Phylogenetics How can evolutionary relationships be reconstructed?

27 Population and Personal Genomics

28 Population genetics

29 Medical Genomics Medical applications of sequencing individuals

30 Personal genome sequencing
How soon will everyone be sequenced? Ethical issues.

31 Practical Bioinformatics

32 MATLAB Performing bioinformatic analysis using MATLAB

33 UNIX scripting Using a command-line operating system

34 PERL programming Programming in PERL within a UNIX OS

35 Managing a Database CLONE id name received masked 1 NH0260K 2 NH0407F HIT id cloneID hspID start end ALLELE id hitID nucleotide 1 1 C 2 2 T mySQL. Accessing bioinformatics databases, processing data, and building webpages from PERL.


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