GOBLET: the Global Organisation for Bioinformatics Learning, Education and Training.

In recent years, high-throughput technologies have brought big data to the life sciences. The march of progress has been rapid, leaving in its wake a demand for courses in data analysis, data stewardship, computing fundamentals, etc., a need that universities have not yet been able to satisfy--paradoxically, many are actually closing "niche" bioinformatics courses at a time of critical need. The impact of this is being felt across continents, as many students and early-stage researchers are being left without appropriate skills to manage, analyse, and interpret their data with confidence. This situation has galvanised a group of scientists to address the problems on an international scale. For the first time, bioinformatics educators and trainers across the globe have come together to address common needs, rising above institutional and international boundaries to cooperate in sharing bioinformatics training expertise, experience, and resources, aiming to put ad hoc training practices on a more professional footing for the benefit of all.

The GOBLET training portal: a global repository of bioinformatics training materials, courses and trainers.

SUMMARY: Rapid technological advances have led to an explosion of biomedical data in recent years. The pace of change has inspired new collaborative approaches for sharing materials and resources to help train life scientists both in the use of cutting-edge bioinformatics tools and databases and in how to analyse and interpret large datasets. A prototype platform for sharing such training resources was recently created by the Bioinformatics Training Network (BTN). Building on this work, we have created a centralized portal for sharing training materials and courses, including a catalogue of trainers and course organizers, and an announcement service for training events. For course organizers, the portal provides opportunities to promote their training events; for trainers, the portal offers an environment for sharing materials, for gaining visibility for their work and promoting their skills; for trainees, it offers a convenient one-stop shop for finding suitable training resources and identifying relevant training events and activities locally and worldwide. AVAILABILITY AND IMPLEMENTATION: http://mygoblet.org/training-portal.

Resources for Small Regulatory RNAs.

Over the past twenty years, new classes of regulatory RNAs have been discovered, previously hidden in the transcriptome mostly due to their small size. These small regulatory RNAs include small interfering RNAs (siRNAs), microRNAs (miRNAs), and Piwi-interacting RNAs (piRNAs). Numerous databases have been developed to store information about these small regulatory RNAs, and many tools have been developed to work with the data. This overview introduces the reader to the many resources available for working with small regulatory RNAs.

Genetic variation in Saccharomyces cerevisiae: circuit diversification in a signal transduction network.

The connection between genotype and phenotype was assessed by determining the adhesion phenotype for the same mutation in two closely related yeast strains, S288c and Sigma, using two identical deletion libraries. Previous studies, all in Sigma, had shown that the adhesion phenotype was controlled by the filamentation mitogen-activated kinase (fMAPK) pathway, which activates a set of transcription factors required for the transcription of the structural gene FLO11. Unexpectedly, the fMAPK pathway is not required for FLO11 transcription in S288c despite the fact that the fMAPK genes are present and active in other pathways. Using transformation and a sensitized reporter, it was possible to isolate RPI1, one of the modifiers that permits the bypass of the fMAPK pathway in S288c. RPI1 encodes a transcription factor with allelic differences between the two strains: The RPI1 allele from S288c but not the one from Sigma can confer fMAPK pathway-independent transcription of FLO11. Biochemical analysis reveals differences in phosphorylation between the alleles. At the nucleotide level the two alleles differ in the number of tandem repeats in the ORF. A comparison of genomes between the two strains shows that many genes differ in size due to variation in repeat length.

Resources for small regulatory RNAs.

In the past fifteen years, new classes of regulatory RNAs have been discovered, previously hidden in the transcriptome mostly due to their small size. These small regulatory RNAs include small interfering RNAs (siRNAs), microRNAs (miRNAs), and Piwi-interacting RNAs (piRNAs). Numerous databases have been developed to store information about these small regulatory RNAs, and many tools have been developed to work with the data. This overview introduces the reader to the many resources available for working with small regulatory RNAs.

Visualizing networks.

An interrelated set of genes or proteins can be represented effectively as a network that describes physical interactions, regulatory relationships, or metabolic pathways. Visualizing a network can be a helpful method to extract biological meaning and to generate testable hypotheses about large-scale biological data. This chapter describes some potential rationales for visualizing networks of microarray and other data types, which can be integrated and filtered to show potentially significant relationships. It also presents a practical introduction to Osprey and Cytoscape, two software platforms that are powerful tools for visualizing, integrating, and manipulating networks.

Intragenic tandem repeats generate functional variability.

Tandemly repeated DNA sequences are highly dynamic components of genomes. Most repeats are in intergenic regions, but some are in coding sequences or pseudogenes. In humans, expansion of intragenic triplet repeats is associated with various diseases, including Huntington chorea and fragile X syndrome. The persistence of intragenic repeats in genomes suggests that there is a compensating benefit. Here we show that in the genome of Saccharomyces cerevisiae, most genes containing intragenic repeats encode cell-wall proteins. The repeats trigger frequent recombination events in the gene or between the gene and a pseudogene, causing expansion and contraction in the gene size. This size variation creates quantitative alterations in phenotypes (e.g., adhesion, flocculation or biofilm formation). We propose that variation in intragenic repeat number provides the functional diversity of cell surface antigens that, in fungi and other pathogens, allows rapid adaptation to the environment and elusion of the host immune system.

Genome-wide map of nucleosome acetylation and methylation in yeast.

Eukaryotic genomes are packaged into nucleosomes whose position and chemical modification state can profoundly influence regulation of gene expression. We profiled nucleosome modifications across the yeast genome using chromatin immunoprecipitation coupled with DNA microarrays to produce high-resolution genome-wide maps of histone acetylation and methylation. These maps take into account changes in nucleosome occupancy at actively transcribed genes and, in doing so, revise previous assessments of the modifications associated with gene expression. Both acetylation and methylation of histones are associated with transcriptional activity, but the former occurs predominantly at the beginning of genes, whereas the latter can occur throughout transcribed regions. Most notably, specific methylation events are associated with the beginning, middle, and end of actively transcribed genes. These maps provide the foundation for further understanding the roles of chromatin in gene expression and genome maintenance.