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Applying AI to Human Genome
Part 1 : Collecting data
Prof. M. EmbrechtsRobert BressBram Heyns
Overview
Basics of DNA Collecting the data Collection : my application Perl Goal
Basics of DNA
DNA = polymer of 4 molecules : bases or nucleotides
A = Adenine , C = Cytosine , G = Guanine , T = Thymine Replication ( copying ) and translation ( reading )
=> double helix : AT , GC ( copying ) 3 letter combination = codon RNA : U = Uracil in place of T => Transcribing Protein = polymer composed of 20 amino acids
( reading )=> more complex structure than DNA
Transition DNA RNA Protein
Intron – Exon - Splicejunction
• exon 200 characters intron thousands
• 30,000 genes identified out of possible 100,000
• Identification gene patent
Summary
Human : 23 chromosomes Chromosomes thousands of genes Gene info : exons , comments : introns Exons and introns codons Codon bases
Datacollection
Human Genome Project NCBI website : http//www.ncbi.nlm.nih.gov Entrez-Nucleotide.htm NCBI Sequence Viewer.htm
Datacollection
Human Genome Project NCBI website : http//www.ncbi.nlm.nih.gov Entrez-Nucleotide.htm NCBI Sequence Viewer.htm
Datacollection : my application
BioBrowser
Download HTML ExtractLinks() Download HTML - data
ExtractData()
TranslateData()
Datacollection : my application
BioBrowser
Download HTML ExtractLinks() Download HTML - data
ExtractData()
TranslateData()
Perl
Practical Extraction and Report Language POD – files -> web Portability Free – CPAN modules String manipilation Extremely powerfull regex-engine Glue language designed for short and simple tasks, not
equal to lack of power or “serious” features
Tutorial : http://www.netcat.co.uk/rob/perl/win32perltut.html
Regular Expression – Pattern Matching
Practical Extraction and Report Language Scan through data and extract useful
information m/PATTERN/ s/PATTERN/REPLACEMENT/ 1 line Perl = 100 lines C or Java Complex, but easy
Regex examples
/[KCZ]arl^sa/ /<I>/(.*?)<\/I>/i $1,$2,… i , g , c , … . , * , + , ? /([0-9a-zA-Z])+/ or /([\w])+/ s/us[^a-z]/them/g or s/us\W/them/g /([acc|act][ttt|ttc|att])/ TIMTOWTDT
Part 2 : Applying AI
Our choice : evolutionary computing First part : identify exon part Second part : identify splicejunctions Third part : combine previous parts Hope to reach +90% accuracy
Questions
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