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Applying AI to Human Genome Part 1 : Collecting data Prof. M. Embrechts Robert Bress Bram 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 ?