AgBase provides resources to facilitate modeling of functional genomics data and structural and functional annotation of agriculturally important animal, plant, microbe and parasite genomes. One of seven new tools available at AgBase, GOModeler, supports hypothesis testing from functional genomics data. Moreover, we provide comprehensive training resources (including worked examples and tutorials) via links to Educational Resources at the AgBase website.
Gene modeling server which focuses on the modeling of alternative splicing. It is based on the alignment of mRNA, EST and protein sequences and combines genome-based clustering and transcript assembly. Supports human, mouse and rat genomes.
The Aspergillus Genome Database (AspGD) is an online genomics resource for researchers studying the genetics and molecular biology of the Aspergilli. AspGD combines high-quality manual curation of the experimental scientific literature examining the genetics and molecular biology of Aspergilli, cutting-edge comparative genomics approaches to iteratively refine and improve structural gene annotations across multiple Aspergillus species, and web-based research tools for accessing and exploring the data.
Asterias is a set of tools for the analyses of high throughput genomic data that includes applications for microarray data normalization, filtering, detection of differential gene expression, class and survival prediction model building, and analysis of array CGH data. Most applications use parallel computing resulting in significant increases in speed.
AUGUSTUS is a eukaryotic gene prediction tool. It can integrate evidence, e.g. from RNA-Seq, ESTs, proteomics, but can also predict genes ab initio. The PPX extension to AUGUSTUS can take a protein sequence multiple sequence alignment as input to find new members of the family in a genome. It can be run through a web interface, or downloaded and run locally.
BeetleBase (http://www.beetlebase.org) has been updated to provide more comprehensive genomic information for the red flour beetle Tribolium castaneum. The database contains genomic sequence scaffolds mapped to 10 linkage groups (genome assembly release Tcas_3.0), genetic linkage maps, the official gene set, Reference Sequences from NCBI (RefSeq), predicted gene models, ESTs and whole-genome tiling array data representing several developmental stages. The database was reconstructed using the upgraded Generic Model Organism Database (GMOD) modules. Genome information is visualized as tracks in GBrowse. The updated genetic map is visualized using the comparative genetic map viewer CMAP. To enhance the database search capabilities, the BLAST and BLAT search tools have been integrated with the GMOD tools.
The Berkeley Phylogenomics Group provides a series of
web servers for phylogenomic analysis: classification of sequences to pre-computed families and subfamilies using the PhyloFacts Phylogenomic Encyclopedia, FlowerPower clustering of proteins sharing the same domain architecture, MUSCLE multiple sequence alignment, SATCHMO simultaneous alignment and tree construction, and SCI-PHY subfamily identification.
Server which scans upstream of genes in the same gene expression cluster for regulatory sequence motifs using a Gibbs sampling strategy. The Markov background model is used for non-motif bases, improving specificity of predicted motif locations.
The Bovine Genome Database (BGD) includes mechanisms too improve annotation of the bovine genome and to integrate the genome sequence with other genomics data. BGD includes GBrowse genome browsers, the Apollo Annotation Editor, a quantitative trait loci (QTL) viewer, BLAST databases and gene pages. Genome browsers, available for both scaffold and chromosome coordinate systems, display the bovine Official Gene Set (OGS), RefSeq and Ensembl gene models, non-coding RNA, repeats, pseudogenes, single-nucleotide polymorphism, markers, QTL and alignments to complementary DNAs, ESTs and protein homologs. Researchers may upload their annotations to the BGD server for review and integration into the subsequent release of the OGS.
Server which predicts conserved secondary structure elements of homologous RNAs. The input of a set of RNA sequences are not required to be previously aligned.