Specific topics to be covered include sequence alignment, large-scale processing, next-generation sequencing data, comparative genomics, phylogenetics, biological database design, geometric analysis of protein structure, molecular-dynamics simulation, biological networks, normalization of microarray data, mining of functional genomics data sets, and machine-learning approaches to data integration.
3. Integrative mining of public genomics data.
In the post-genomics era, the analysis of human genetic data is often combined with the mining of functional genomic data to facilitate the identification of potential causative genes [ 1, 2].
Inferring biological pathways requires research teams to mine and interpret vast quantities of genomics data.
This new software provides a feature-rich set of comparative genomics tools for inspection of multiple genome structures, mining of orthologous gene families and identification of potential vaccine candidates.
Professor Mark Caufield, chief scientist of Genomics England, emphasised that the success of the 100,000 Genomes Project will rest on the active participation of the pharmaceuticals industry which will be allowed to "mine" the genomics data for commercial gain.
In this way, the sibling fields of genomics, such as pangenomics and metagenomics, can all be ready for curating, sharing, and mining floods of the incoming genomic big data.
To reap benefit of genomics of the domestic tomato (Solanum lycopersicum L). unravelled by Tomato Genome Consortium (The Tomato Genome Consortium, 2012), the bulk mining of its markers in totality is imperative and critically required.
It provides the context for analyzing and interpreting new experimental data and the tool for effective mining of a large number of publicly available genomics datasets stored in the back-end databases.
2 David Botstein Director and Anthony B Evnin professor of genomics.
