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Advanced Bioinformatics. Group Medicago Basic Project: Gene expression in yeast. Members. Jente Ottenburghs Lifei Li Yuebang Yin Nick Brouwers. Members: Yuebang. During the day: Working on farm. During the evenings: programming. Members: Jente, Lifei & Nick.
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Advanced Bioinformatics Group Medicago Basic Project: Gene expression in yeast
Members • JenteOttenburghs • Lifei Li • Yuebang Yin • Nick Brouwers
Members: Yuebang During the day: Working on farm During the evenings: programming
Members: Jente, Lifei & Nick During the evenings: Preparing for another day of programming During the day: Programming
Progress: Pipeline Fastq-file genome.fa Tophat Bam-file Cufflinks Transcripts.gtf genome.fa Gtf_to_fasta Amazing Output Fasta-file Perl Scripts
Progress so far... • Making the Big Hash Table (Nick, Yuebang & Lifei) • Codon usage bias (Jente) • Graphical Output R (Jente)
The Big Hash Table Data extraction of GTF-file and Fasta-file: • Hash table with array Gene ID: Value1 Value2 ... Key Value = Array
The Big Hash Table • From the FASTA we use/determine: • Gene_id • Sequence length • GC content • Codon usage • From the GTF we use/determine: • Gene_id • Expression level • Inter-transcript size
The Big Hash Table Fasta Hash Table GTF Hash Table One Big Hash Table The Next Step User determines Output
Codon Usage Scripts for calculation of: • Relative Synonymous Codon Usage (RSCU) • Effective number of codons (NC)
Future Challenges • Store more data in the table • Let the user determine the output (Perl) • Produce graphical output (R)