Top Ten Challenges for Bioinformatics Field

Top 10 Challenges for Bioinformatics

1. Precise models of where and when transcription will occur in a genome (initiation and termination).
2. Precise, predictive models of alternative RNA splicing.
3. Precise models of signal transduction pathways; ability to predict cellular responses to external stimuli.
4. Determining protein: DNA, protein: RNA, protein: protein recognition codes.
5. Accurate ab initio protein structure prediction.
6. Rational design of small molecule inhibitors of proteins.
7. Mechanistic understanding of protein evolution.
8. Mechanistic understanding of speciation.
9. Development of effective gene ontologies: systematic ways to describe gene and protein function.
10. Education: development of bioinformatics curricula.