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Class 1: Introduction

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E.Coli (bacteria) 4.6 x 106 bases. Yeast (simple fungi) 15 x 106 bases. Smallest human chromosome 50 x 106 bases. Entire human genome 3 x 109 bases. Genes ... – PowerPoint PPT presentation

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Title: Class 1: Introduction


1
Class 1 Introduction
2
The Tree of Life
Source Alberts et al
3
The Cell
4
Example Tissues in Stomach
5
DNA Components
  • Four nucleotide types
  • Adenine
  • Guanine
  • Cytosine
  • Thymine
  • Hydrogen bonds
  • A-T
  • C-G

6
The Double Helix
Source Alberts et al
7
DNA Duplication
Source Mathews van Holde
8
DNA Organization
Source Alberts et al
9
Genome Sizes
  • E.Coli (bacteria) 4.6 x 106 bases
  • Yeast (simple fungi) 15 x 106 bases
  • Smallest human chromosome 50 x 106 bases
  • Entire human genome 3 x 109 bases

10
Genes
  • The DNA strings include
  • Coding regions (genes)
  • E. coli has 4,000 genes
  • Yeast has 6,000 genes
  • C. Elegans has 13,000 genes
  • Humans have 32,000 genes
  • Control regions
  • These typically are adjacent to the genes
  • They determine when a gene should be expressed
  • Junk DNA (unknown function)

11
Transcription
  • Coding sequences can be transcribed to RNA
  • RNA nucleotides
  • Similar to DNA, slightly different backbone
  • Uracil (U) instead of Thymine (T)

Source Mathews van Holde
12
RNA Editing
13
RNA Editing
Source Mathews van Holde
14
RNA roles
  • Messenger RNA (mRNA)
  • Encodes protein sequences
  • Transfer RNA (tRNA)
  • Adaptor between mRNA molecules and amino-acids
    (protein building blocks)
  • Ribosomal RNA (rRNA)
  • Part of the ribosome, a machine for translating
    mRNA to proteins
  • ...

15
Transfer RNA
  • Anticodon
  • matches a codon (triplet of mRNA nucleotides)
  • Attachment site
  • matches a specific amino-acid

16
Translation
  • Translation is mediated by the ribosome
  • Ribosome is a complex of protein rRNA molecules
  • The ribosome attaches to the mRNA at a
    translation initiation site
  • Then ribosome moves along the mRNA sequence and
    in the process constructs a poly-peptide
  • When the ribosome encounters a stop signal, it
    releases the mRNA. The construct poly-peptide is
    released, and folds into a protein.

17
Translation
18
Translation
Source Alberts et al
19
Translation
Source Alberts et al
20
Translation
Source Alberts et al
21
Translation
Source Alberts et al
22
Translation
Source Alberts et al
23
Genetic Code
24
Protein Structure
  • Proteins are poly-peptides of 70-3000 amino-acids
  • This structure is (mostly) determined by the
    sequence of amino-acids that make up the protein

25
Protein Structure
26
Evolution
  • Related organisms have similar DNA
  • Similarity in sequences of proteins
  • Similarity in organization of genes along the
    chromosomes
  • Evolution plays a major role in biology
  • Many mechanisms are shared across a wide range of
    organisms
  • During the course of evolution existing
    components are adapted for new functions

27
Evolution
  • Evolution of new organisms is driven by
  • Diversity
  • Different individuals carry different variants of
    the same basic blue print
  • Mutations
  • The DNA sequence can be changed due to single
    base changes, deletion/insertion of DNA segments,
    etc.
  • Selection bias

28
Course Goals
  • Computational tools in molecular biology
  • We will cover computational tasks that are posed
    by modern molecular biology
  • We will discuss the biological motivation and
    setup for these tasks
  • We will understand the the kinds of solutions
    exist and what principles justify them

29
Four Aspects
  • Biological
  • What is the task?
  • Algorithmic
  • How to perform the task at hand efficiently?
  • Learning
  • How to adapt parameters of the task form examples
  • Statistics
  • How to differentiate true phenomena from artifacts

30
Example Sequence Comparison
  • Biological
  • Evolution preserves sequences, thus similar genes
    might have similar function
  • Algorithmic
  • Consider all ways to align one sequence against
    another
  • Learning
  • How do we define similar sequences? Use
    examples to define similarity
  • Statistics
  • When we compare to 106 sequences, what is a
    random match and what is true one

31
Topics I
  • Dealing with DNA/Protein sequences
  • Genome projects and how sequences are found
  • Finding similar sequences
  • Models of sequences Hidden Markov Models
  • Transcription regulation
  • Protein Families
  • Gene finding

32
Topics II
  • Gene Expression
  • Genome-wide expression patterns
  • Data organization clustering
  • Reconstructing transcription regulation
  • Recognizing and classifying cancers

33
Topics III
  • Models of genetic change
  • Long term evolutionary changes among species
  • Reconstructing evolutionary trees from current
    day sequences
  • Short term genetic variations in a population
  • Finding genes by linkage and association

34
Topics IV
  • Protein World
  • How proteins fold - secondary tertiary
    structure
  • How to predict protein folds from sequences data
    alone
  • How to analyze proteins changes from raw
    experimental measurements (MassSpec)
  • 2D gels

35
Class Structure
  • 2 weekly meeting
  • Class Mondays 16-18
  • Targil Tuesday 18-20
  • Grade
  • 60 in five question sets
  • Each contains theoretical problems practical
    computer questions
  • 40 test
  • 5 bonus for active participation

36
Exercises Handouts
  • Check regularly
  • http//www.cs.huji.ac.il/cbio
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