2014 09 30_t1_bioinformatics_wim_vancriekinge

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Bio-informatica

Transcript of 2014 09 30_t1_bioinformatics_wim_vancriekinge

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FBW30-09-2014

Wim Van Criekinge

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What is Bioinformatics ?

• Application of information technology to the storage, management and analysis of biological information (Facilitated by the use of computers)– Sequence analysis?– Molecular modeling (HTX) ?– Phylogeny/evolution?– Ecology and population studies?– Medical informatics?– Image Analysis ?– Statistics ? AI ?– Sterkstroom of zwakstroom ?

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• Medicine (Pharma)– Genome analysis allows the targeting of genetic

diseases– The effect of a disease or of a therapeutic on RNA and

protein levels can be elucidated– Knowledge of protein structure facilitates drug design– Understanding of genomic variation allows the tailoring

of medical treatment to the individual’s genetic make-up

• The same techniques can be applied to crop (Agro) and livestock improvement (Animal Health)

Promises of genomics and bioinformatics

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Bioinformatics: What’s in a name ?

• Begin 1990’s• “Bio-informatics”:

Computing PowerGenbank(Log)

Time (years)

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Bioinformatics: What’s in a name ?

• Begin 1990’s• “Bio-informatics”:

– convergence of explosive growth in biotechnology, paralled by the explosive growth in information technology

• Not new: > 30 years that people use “computers” in biology

• In silico biology, database biology, ...

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Time (years)

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Happy Birthday …

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PCR + dye termination

Suddenly, a flash of insight caused him to pull the car off the road and stop. He awakened his friend dozing in the passenger seat and excitedly explained to her that he had hit upon a solution - not to his original problem, but to one of even greater significance. Kary Mullis had just conceived of a simple method for producing virtually unlimited copies of a specific DNA sequence in a test tube - the polymerase chain reaction (PCR)

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Math

Informatics

Bioinformatics, a scientific discipline …

Theoretical Biology

Computational Biology

(Molecular)Biology

Computer Science

Bioinformatics

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Math Algorithm Development

Informatics

Interface Design

Bioinformatics, a scientific discipline …

AI, Image Analysisstructure prediction (HTX)

Theoretical Biology

Sequence Analysis

Computational Biology

(Molecular)Biology

Expert Annotation

Computer Science

NPDatamining

Bioinformatics

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Math Algorithm Development

Informatics

Interface Design

Bioinformatics, a scientific discipline …

AI, Image Analysisstructure prediction (HTX)

Theoretical Biology

Sequence Analysis

Computational Biology

(Molecular)Biology

Expert Annotation

Computer Science

NPDatamining

BioinformaticsDiscovery Informatics – Computational Genomics

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Doel van de cursus

• Meer dan een inleiding tot ... het is de bedoeling van de cursus een onderliggend inzicht te verschaffen achter de verschillende technieken.

• Naast het gebruik van recepten, wat terug te vinden is in delen van de syllabus laat een inzicht in – de werking van databanken – en de achterliggende algoritmen

• toe – om wisselende interfaces op nieuwe

problemen toe te passen.

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Inhoud Lessen: Bioinformatica

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Examen

• Theorie – Deel rond een zelf te kiezen publicatie die in

verband staat met de cursus • Bv Bioinformatics of Computational Biology

– Drie inzichtsvragen over de cursus (inclusief !!)

• Practicum (“open-book”)– Viertal oefeningen die meestal het schrijven van een

programma veronderstellen

• Puntenverdeling 50/50

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Cursus

• Syllabus 25 Euro– Syllabus

• V|Podcasts• Weblems – Screencasts

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• Timelin: Magaret Dayhoff …

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naturetheHumangenome

Setting the stage …

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Genome Size

DOGS: Database Of Genome Sizes

E. coli = 4.2 x 106

Yeast = 18 x 106

Arabidopsis = 80 x 106

C.elegans = 100 x 106

Drosophila = 180 x 106

Human/Rat/Mouse = 3000 x 106

Lily = 300 000 x 106

With ... : 99.9 %To primates: 99%

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Biological Research

Adapted from John McPherson, OICRAdapted from John McPherson, OICR

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And this is just the beginning ….

Next Generation Sequencing is here

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Basics of the “old” technology

• Clone the DNA.• Generate a ladder of labeled (colored) molecules

that are different by 1 nucleotide.• Separate mixture on some matrix.• Detect fluorochrome by laser.• Interpret peaks as string of DNA.• Strings are 500 to 1,000 letters long• 1 machine generates 57,000 nucleotides/run• Assemble all strings into a genome.

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Basics of the “new” technology

• Get DNA.• Attach it to something.• Extend and amplify signal with some color

scheme.• Detect fluorochrome by microscopy.• Interpret series of spots as short strings of DNA.• Strings are 30-300 letters long• Multiple images are interpreted as 0.4 to 1.2

GB/run (1,200,000,000 letters/day). • Map or align strings to one or many genome.

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Next Generation Technologies

• 454–Emulsion PCR–Polymerase–Natural Nucleotides

• 20-100Mb for 5-15k –1% error rate–Homopolymers

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One additional insight ...

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Read Length is Not As Important For Resequencing

0%

10%

20%

30%

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50%

60%

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100%

8 10 12 14 16 18 20

Length of K-mer Reads (bp)

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E.COLI

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Jay Shendure

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Two Short Read Techologies

• Illumina GA

• ABI SOLID

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Technology Overview: Solexa/Illumina Sequencing

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ABI Solid

Dressman 2003

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ABI SOLID

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ABI SOLID

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Paired End Reads are Important!

Repetitive DNAUnique DNA

Single read maps to multiple positions

Paired read maps uniquely

Read 1 Read 2

Known Distance

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Single Molecule Sequencing

Helicos Biosciences Corp.

Microscope slide

Single DNA molecule

dNTP-Cy3

* * *

*

primer

Super-cooledTIRF microscope

Adapted from: Barak Cohen, Washington University, Bio5488 http://tinyurl.com/6zttuq http://tinyurl.com/6k26nh

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Introducing

NXT GNT DXSNext Generation Diagnostics

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NXT GNT DXS

• GNT– Dedicated Team & Network– Operational: Location– Professionalized

• DXS– Content engine– Product 1 established– Pipeline for n+1

• NXT– Workflow management– Bioinformatics– Epigenetics

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Next next generation sequencing

Third generation sequencing

Now sequencing

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Complete genomics

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Complete genomics

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Pacific Biosciences: A Third Generation Sequencing Technology

Eid et al 2008

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Pacific Biosciences: A Third Generation Sequencing Technology

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Nanopore Sequencing

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NCBI (educational resources)

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Weblems

• What ?– Web-based problemes (over de huidige les

en/of voorbereiding op volgende les)• When ?

– Einde van elke les• How ?

– Oplossingen online via screencasts– Practicum– Voorbedereiding op het practicum examen ...

Niet alle problemen vereisen noodzakelijk programmacode ...

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Weblems

W1.1: To which phyla do the following species belong (a) starfish (b) ginko tree (c) scorpion

W1.2: What are the common names for the following species (a) Orycterophus afer (b) Beta vulagaris (c) macrocystis pyrifera

W1.3: What species has the smallest known genome ? And is genome size related to number of genes ?

W1.4: What are the 5 latest genomes published ? How complete is “coverage” ?

W1.5: For approximately 10% of europeans, the painkiller codeine is ineffective because the patients lack the enzyme that converts codeine into the active molecule, morphine. What is the most common mutation that causes this condition ?