It's well known that science has given us large amount of free accessible data, such as http://www.1000genomes.org and http://www.ncbi.nlm.nih.gov/genbank. How can we play around with the data and apply data science/machine learning to it? What could be some ideas?My own ideas:Biological data visualisationGene prediction using hidden-markov-modelAny more?
What kind of research can be done with genomic data?
machine learning;classification;bioinformatics;data
Determine the function of genes and the elements that regulate genesthroughout the genome.Find variations in the DNA sequence among people and determine theirsignificance. The most common type of genetic variation is known as asingle nucleotide polymorphism or SNP (pronounced snip).  Thesesmall differences may help predict a persons risk of particulardiseases and response to certain medications.Discover the 3-dimensional structures of proteins and identify theirfunctions.Explore how DNA and proteins interact with one another and with theenvironment to create complex living systems.Develop and apply genome-based strategies for the early detection,diagnosis, and treatment of disease.Sequence the genomes of other organisms, such as the rat, cow, andchimpanzee, in order to compare similar genes between species.Develop new technologies to study genes and DNA on a large scale andstore genomic data efficiently.Continue to explore the ethical, legal, and social issues raised bygenomic research.Source