1. Overview of I519 & Introduction to Bioinformatics

2. Structure of I519  Two classes and one lab each week  Python, C (a little bit R)  Textbook: Understanding Bioinformatics  Homework assignments (~5 in total)  Grading: –midterm exam (25%) + final exam (25%) + assignments (30%) + class project (15%) + attendance (5%)  Course webpage: http://darwin.informatics.indiana.edu/col/courses/I519-12/

3. What’s Bioinformatics  "Bioinformatics is the field of science in which biology, computer science, and information technology merge into a single discipline. There are three important sub-disciplines within bioinformatics: the development of new algorithms and statistics with which to assess relationships among members of large data sets; the analysis and interpretation of various types of data including nucleotide and amino acid sequences, protein domains, and protein structures; and the development and implementation of tools that enable efficient access and management of different types of information.” (NCBI)  "I do not think all biological computing is bioinformatics, e.g. mathematical modelling is not bioinformatics, even when connected with biology-related problems. In my opinion, bioinformatics has to do with management and the subsequent use of biological information, particular genetic information.” (Durbin) What’s bioinformatics

4. Bioinformatics vs Computational Biology  Almost interchangeable  Computational biology may be broader –Computational biology is an interdisciplinary field that applies the techniques of computer science, applied mathematics and statistics to address biological problems (wikipedia) –Includes bioinformatics What’s bioinformatics

5. Impacts of Bioinformatics  On biological sciences (and medical sciences) –Large scale experimental techniques –Information growth  On computational sciences –Biological has become a large source for new algorithmic and statistical problems! What’s bioinformatics

6. Related Fields  Proteomics/genomics (metagenomics)/ comparative genomics/structural genomics  Chemical informatics  Health informatics/Biomedical informatics  Complex systems  Systems biology  Biophysics  Mathematical biology –tackles biological problems using methods that need not be numerical and need not be implemented in software or hardware What’s bioinformatics

7. Bioinformatics Problems/Applications Figure from “Bioinformatics dummies” What’s bioinformatics

8. Biology Primer Figure 1-1 Molecular Biology of the Cell Multicullar organisms Eggs Cell divisions Underlying the diversity of life is a striking unity: DNA is universal genetic language; Cells are the basic units of structure and function Biology primer

9. Cells are the Basic Unit of Life  Cell Theory –All organisms are made up of cells –The cell is the basic living unit of organization for all organisms –All cells come from pre-existing cells by division –Cells contains hereditary information which is passed from cell to cell during cell division. –All cells are basically the same in chemical composition –All energy flow (metabolism & biochemistry) of life occurs within cells  Organisms can be of single cells or multiple cells (multicellular organisms) −Most living organisms are single cells (e.g., E.coli, Yeast) −Multicellular organisms (e.g., human has more than 10 13 cells. Have no idea about this number? World population as of July 2008 is 6.684 billion, (1 billion = 10 9 ) Biology primer

10. Animal cell structure http://hyperphysics.phy-astr.gsu.edu/hbase/biology/imgbio/cellhlabel.gif Cell Structures Prokaryotic cell structure http://micro.magnet.fsu.edu/cells/procaryotes/images/procaryote.jpg Biology primer

11. Scale Down to the Atomic Level Figure 9-1 Molecular Biology of the CellFigure 9-2 Cell Biology primer

12. The Central Dogma DNARNAProtein RNA virus retrovirus TranslationTranscription The flow of genetic information in cells is from DNA to RNA to protein. All cells, from bacteria to humans, express their genetic information in this way—a principle so fundamental that it is termed the central dogma of molecular biology. Biology primer

13. DNA and Replication Figure 1-2 Molecular Biology of the Cell, Fifth Edition Biology primer

14. From DNA (to RNA) to Protein Biology primer

15. The Genetic Code Biology primer

16. Genome  Definition –Genome of an organism is its whole hereditary information and is encoded in the form of DNA (or, for some viruses, RNA) –Chromosome: structure composed of a long DNA and associated proteins; human has 46 chromosomes  DNA sequences can be determined by various sequencing techniques  Sequence first. Ask questions later –Cell. 2002 Oct 4;111(1):13-6 Biology primer

17. CharacteristicArchaeaBacteriaEukaryote s Predominately multicellularNo Yes DNA structurecircular linear Cytoplasma is compartmentalized No Yes Introns are present in most genes No Yes Photosynthesis with chlorophyll NoYes Histone proteins present in cell YesNoYes Three (Super)Kingdoms Biology primer

18. Organisms at Pivotal Positions in the Tree of Life E.coli: 1997 Cell. 2002 Oct 4;111(1):13-6 Fly: 2000 Worm: 1998 Biology primer

19. Model Organisms  A model organism is a species that is extensively studied to understand particular biological phenomena, with the expectation that discoveries made in the organism model will provide insight into the workings of other organisms.  Genetic models (with short generation times, such as the fruit fly and nematode worm), experimental models, and genomic models, with a pivotal position in the tree of life Biology primer

20. Escherichia coli (E. coli)  A common gut bacterium, is the most widely- used organism in molecular genetics.  Some strains of E. coli are capable of causing disease under certain conditions  Different strains of E. coli have been extensively studied  Whole genome of several E. coli strains was sequenced (e.g., K-12, O157:H7, HS) Biology primer

21. The Genome of E. coli K-12 Figure 1-29 Molecular Biology of the Cell, Fifth Edition (© Garland Science 2008) Circular DNA: a single, closed loop Protein-coding genes RNA genes The whole genome was sequenced in 1997 Total 4,639,221 bp. Biology primer

22. Caenorhabditis elegans  C. elegans is a eukaryote (nematodes, or round worms)  Has small genome (~97megabases) (whole genome sequencing, 1998)  C. elegans is easy to maintain in the laboratory (in petri dishes) and has a fast and convenient life cycle. –the life span is 2-3 weeks. –tiny (1 mm in length) and transparent organism and the developmental pattern of all 959 of its somatic cells has been traced. somatic cell: any cell of a plant or animal other than cells of the germ line (from Greek soma, body) Biology primer

23. Caenorhabditis elegans (Cont.)  Discovery of the mechanism of RNA interference in C. elegans (1998) –Andrew Fire and Craig C. Mello shared the Nobel Prize in Physiology or Medicine in 2006 –Silencing was triggered efficiently by injected dsRNA, but weakly or not at all by sense or antisense single-stranded RNAs Biology primer

24. Drosophila melanogaster (fruit fly)  It has been used as a model organism for over 100 years, widely used to study genetic and development biology –Small and has a simple diet. –Short life cycle: taking about two weeks –Have large polytene chromosomes, whose barcode patterns of light and dark bands allow genes to be mapped accurately  It was chosen in 1990 as one of the model organisms to be studied under the auspices of the federally funded Human Genome Project  Whole genome sequenced in 2000  >10 Drosophila genomes have been sequenced  FlyBase: http://flybase.org/ Biology primer

25. Species Classification  Classification is arrangement of organisms into orderly groups based on their similarities  Also known as taxonomy  Provide accurate and uniform naming system Biology primer

26. Linnaean System of Classification  Carolus Linnaeus (the “father of taxonomy”) -- the first widely accepted hierarchical scheme, which consists today of 7 categories (kingdom, phylum, class, order, family, genus, and species) (not including domain)  Species is the most basic unit of biological classification (means “kind” in Latin) –Each species is different, and reproduces itself faithfully –Heredity is a central part of the definition of life  The Linnaean system uses two Latin name categories, genus and species, to designate each type of organism –Salmonela saintpaul (which caused the latest food-borne disease) –Capitalize the genus, but not the species; italicized in print Biology primer

27. Homo sapiens Domain: Eukaryotes Kingdom: Matazon (many-celled animal) Phylum: Chordata (characterized by a notochord, nerve cord, and gill slits) (subphylum: Vertebrata) Class: Mammalia (warm-blooded vertebrates) Order: Primates Family: Hominidae Genus: Homo Species: Sapiens http://www.ncbi.nlm.nih.gov/sites/entrez?db=taxonomy King Philip Came Over For Gooseberry Soup Biology primer

28. Gene/Protein Family  A protein/gene family is a group of evolutionarily related proteins/genes  Genes/proteins of the same family typically have similar functions (and structures for proteins) and with sequence similarity  There are far more genes/proteins than the number of families—which shows the advantage of grouping genes/proteins into different families Biology primer

29. Evolution of Genes  New genes are generated from preexisting genes –Intragenic mutation (modified by changes in DNA sequence – errors occurred in the process of DNA replication) –Gene duplication – two copies of genes may then diverge in the course of evolution –Segment shuffling –Horizontal transfer Biology primer

30. Analysis of Gene/Protein Families – Key Problems in Bioinformatics  Homolog detection  Alignment (the residual-level mapping among homologous genes/proteins)  Application of the alignments –Detect the conserved residues – functional sites –Prediction of protein structures –Motif finding (cis-elements)  Phylogeny  Function annotation None of these problems have been solved! More on what’s bioinformatics

31. Is Protein A Related/Similar to Protein B?  Sequence similarity (alignment!)  Structure similarity (structural comparison)  Co-expression (Microarray data analysis)  Any types of correlation (operon-structure, etc) You will see this question again and again! More on what’s bioinformatics

32. Guilty by Association More on what’s bioinformatics

33. Computational Abstractions: Biological Sequences as Strings DNARNAProteinPhylotype DNA A string in a four-letter alphabet RNA Protein More on what’s bioinformatics

34. Computational Abstractions: Networks (and Others) as Graphs  Protein-protein interaction network  Protein structures presented as graphs  Gene functions presented as graphs (Gene ontology)  Metabolic pathways as graphs (directed) More on what’s bioinformatics

35. Large Scale Data Analysis  Genome scale –genome, proteome, transcriptome  Metagenome scale –Metagenome, metaprotome, metatranscriptome More on what’s bioinformatics

36. More than Implementation  Find old/new biological problems –Remember biology has become a large source for new algorithmic and statistical problem  Formulate as a computational problem –Define inputs and outputs –(though there are many paper work on well- defined bioinformatics problems)  Apply existing algorithms and/or tools to solving your problem  Develop new ones if necessary  Implement your algorithms with appropriate programming language(s) More on what’s bioinformatics

37. Where Can I Get the Biological Data?  Sequences –NCBI genbank –Swissprot  Structures –PDB  Genomes –NCBI, IMG, GOLD –Specialized genome resources Ensembl: selected eukaryotic genomes.  Others –KEGG, SEED (biological pathways) More on what’s bioinformatics

38. Dealing with Databases  Databases are the backbone of bioinformatics research  Flat files were the first type of database; and are still used today  Rational databases are good for searching purposes  Databases can contain data and annotations of data –Primary and derived (secondary) data

39. Readings  Biology primer (available at the course website)  Anything about Python and/or C (if you have no programming experience at all)  What’s in the textbook? –Chapter 1 （ The Nucleic Acid World) –Chapter 2 (Protein Structure) –Chapter 3 (Dealing With Databases)