Articles in the Featured Category
CCAFS, data analysis, Featured, mgec »
The Consultative Group on International Agricultural Research (CGIAR) Research Program on Climate Change, Agriculture and Food Security (CCAFS) is investing in a large multi‐purpose repository of multi‐site agricultural trial information, and now looks to develop methods for analyzing this data to understand varietal response through genotype by environment (GxE) analyses. The methods developed under this project will then be used for
training developing country scientists and to develop a community of data analysts looking at varietal
response for a whole range of crops.
data analysis, Featured, visualization »
A primary way that biologists interact with their data is through visualization systems, ranging from simple, stand-alone methods to complex, integrated software packages. However, the sheer volume and diversity of both data and of visualization systems presents an increasing challenge for biologists.
The goal of this workshop is to bring together, for the first time, researchers developing and using systems to visualize a broad range of biological data, including sequences, genomes, phylogenies, macromolecular structures, systems biology, microscopy, and magnetic resonance imaging. In selecting topics for this workshop, we have focused on …
data analysis, Featured »
Next-generation DNA sequencing machines are generating an enormous amount of sequence data, placing unprecedented demands on traditional single-processor read mapping algorithms. CloudBurst is a new parallel read-mapping algorithm optimized for mapping next-generation sequence data to the human genome and other reference genomes, for use in a variety of biological analyses including SNP discovery, genotyping, and personal genomics. It is modeled after the short read mapping program RMAP, and reports either all alignments or the unambiguous best alignment for each read with any number of mismatches or differences. This level of …
Featured, visualization »
Current access to the biological databases is commonly done through the web. Usually, the different search interfaces present results as lists of entities that correspond to a search query, with links to both the entry and entries in related databases. In this work we offer a visual approach to navigate subsets of the searched data. Exploiting the network-structure of data resources, we can search, retrieve and visualize multiple data related to a given query. We will present different case studies that show the feasibility and advantages of this approach.
The vast …