Large datasets are now the norm in modern biology. Modelling is progressing from the protein and molecular interaction level to tissue, organ, and whole-plant scales; while everything from genomics through to phenomics and, increasingly, field-level and multi-scale biology involves high throughput experiments. All of these necessitate ever greater computing power and use of complex analysis tools and software. We need you to tell us (click for extremely short survey) which areas of bioinformatics and data analysis you would benefit from training in, ahead of an upcoming GARNet workshop (in association with iPlant and the Hartree Centre).
The iPlant Collaborative is a community of researchers, educators, and students working to deliver a useful and usable cyberinfrastructure for plant science. Users are able to store and analyse their data online, and use iPlant tools for genome assembly, comparative genomics, CHiP and RNA Seq analysis, and much more. A working group is developing modelling tools at the moment, which will take advantage of the high performance computing power iPlant provides, and will support the construction, parameter estimation, sensitivity analysis, and utilization of models. All the resources are free for users worldwide and all are web based, requiring no specialist hardware at the user’s location. (more…)
Not logged in