The major principles of comparative genomics are straightforward. Common features of two organisms will often be encoded within the DNA that is conserved between the species. More precisely, the DNA sequences encoding the proteins and RNAs responsible for functions that were conserved from the last common ancestor should be preserved in contemporary genome sequences. Likewise, the DNA sequences controlling the expression of genes that are regulated similarly in two related species should also be conserved. Conversely, sequences that encode (or control the expression of) proteins and RNAs responsible for differences between species will themselves be divergent.
Allows users to query, visualize, analyze, and compare plant genome and pathway data across crops and model species. Gramene is a resource that uses information generated from projects supported by public funds to improve the study of cross-species comparisons. The database provides a search interface, and views and functionalities for Plant Reactome. It also shares infrastructure, specialized software components and pre-computed data with Ensembl Plants.
Offers diverse content covering genome browsing, genetic and physical maps, similarity searches, a community platform and assembly details. Content will be continuously improved and will be an indispensable resource for P.pacificus genomics.
A web-based resource for algal genomics that combines different data types with intuitive tools to explore genomic diversity, perform integrative evolutionary sequence analysis and study gene functions.
Supports functional Listeria genome analyses by combining information obtained by applying bioinformatics methods and from public databases to improve the original annotations. LEGER offers three unique key features: (i) it is the first comprehensive information system focusing on the functional assignment of genes and proteins; (ii) integrated visualization tools, KEGG pathway and Genome Viewer, alleviate the functional exploration of complex data; and (iii) LEGER presents results of systematic post-genome studies, thus facilitating analyses combining computational and experimental results.
Provides a curated and integrated repository of Rosaceae genetics, genomics and breeding data and analysis tools. GDR gathers information on quantitative trait loci (QTL), Mendelian trait loci (MTL) or genes and markers for essential agriculture traits from large-scale genotype/phenotype/transcriptome datasets. It includes also data about publications on Rosaceae and several online analysis tools to exploit the collected information.