Desafios em Bioinformática

Caros leitores,

convido-os a refletir sobre desafios em bionformática. É sempre necessário ter desafios.... convido-os a pesquisar...imaginar... para começar o texto de Chris Burge.

The Top Bioinformatics Challenges according to Chris Burge at MIT and his colleagues are as follows...

1. Precise, predictive model of transcription initiation and termination: ability to predict where and when transcription will occur in a genome
2. Precise, predictive model of RNA splicing/alternative splicing: ability to predict the splicing pattern of any primary transcript
3. Precise, quantitative models of signal transduction pathways:ability to predict cellular response to external stimuli
4. Determining effective protein-DNA, protein-RNA and protein-protein recognition codes
5. Accurate ab initio structure prediction
6. Rational design of small molecule inhibitors of proteins
7. Mechanistic understanding of protein evolution: understanding exactly how new protein functions evolve
8. Mechanistic understanding of speciation: molecular details of how speciation occurs
9. Continued development of effective gene ontologies-systematic ways to describe the functions of any gene or protein
10. (Infrastructure and education challenge)
11. Education: development of appropriate bioinformatics curricula for secondary, undergraduate and graduate education