Anisearch is a Google-like search engine, which scans all tables of the database for the desired information (this includes comment fields!). You can find Anisearch on the banner page and in the top right corner of each web page. Just type in the keywords you are interested in and select the "and" and "or" or "complete sentence" operators to link your keywords. The results comes out classified according to various fields (GO term, molecules, ISH comments, articles ) and cross linked to Aniseed and to the genome browser. ... [Information of the supplier]
The Barcode of Life Data Systems (BOLD) is an online workbench that aids collection, management, analysis, and use of DNA barcodes. It consists of 3 components (MAS, IDS, and ECS) that each address the needs of various groups in the barcoding community. It provides a repository for barcode records, storing specimen data and images as well as sequences and trace files. It provides an efficient interface for submitting barcode records to GenBank. It provides an identification engine based on the current barcode library. It monitors the number of barcode sequence records and species coverage. ... [Information of the supplier, modified]
The Barcoding Fauna Bavarica project is an All Species DNA barcoding campaign of the Zoologische Staatssammlung in Munich (ZSM) and the Canadian Centre for DNA Barcoding (CCDB). It represents a major component of Germany's contribution to the International Barcode of Life Project. Core funding comes from the Bavarian State Ministry of Science, Research, and the Arts, and from Genome Canada through the Ontario Genomics Institute. (Stefan Schmidt, unter https://www.youtube.com/watch?v=KOQEYZRrB-s). ... [Miscellaneous as indicated]
Bgee is a database to retrieve and compare gene expression patterns between animal species. Bgee first maps heterogeneous expression data (currently EST, Affymetrix, and in situ hybridization data) on anatomy and development of different species. Then, in order to perform automated cross species comparisons, homology relationships across anatomies, and comparison criteria between developmental stages, are designed. Data can be retrieved by ontology browsing, textual search, expression search, or advanced expression search. Gene expression patterns can be compared by selecting any gene family (e.g. ENSFM00500000270089). The full content of the Bgee expression database, the ontologies, the homology links between anatomical ontologies, and the relationships between developmental ontologies, are all available in the download section. More information is provided in the documentation. All data sources used in Bgee are listed on the data sources page. ... [Information of the supplier]
The Institute of Cytology and Genetics, Novosibirsk, Russia, will arrange the 9th International Conference on the Bioinformatics of Genome Regulation and Structure\Systems Biology (BGRS\SB-2014). These regular conferences have been run since 1998. The young scientists' school “Bioinformatics and Systems Biology” will be arranged as part of the conference. Bioinformatics is a rapidly developing field of knowledge. Each of the past BGRS conferences concerned topics urgent at those times. To preserve this tradition, the BGRS-2014 conference will be dedicated to bioinformatics and systems biology. ... [Information of the supplier]
Dear colleagues, Registration on 11th International Multiconference "Bioinformatics of Genome Regulation and Structure\Systems Biology" — BGRS\SB-2018 is open! Since 1998, the conference of BGRS\SB series are held every two years. Highly qualified specialists working on interdisciplinary tasks in the fields of modern bioinformatics, computer system biology and their applications in various problems of biology, medicine, pharmacology, bioengineering, biotechnology, genetics and plant and animal breeding, etc., gather in the Novosibirsk Academgorodok to discuss actual issues and present their scientific results. ... [Information of the supplier]
caArray is an open-source, web and programmatically accessible array data management system. caArray guides the annotation and exchange of array data using a federated model of local installations whose results are shareable across the cancer Biomedical Informatics Grid (caBIG™). caArray furthers translational cancer research through acquisition, dissemination and aggregation of semantically interoperable array data to support subsequent analysis by tools and services on and off the Grid. As array technology advances and matures, caArray will extend its logical library of assay management. ... [Information of the supplier]
The NCI's Cancer Genome Anatomy Project sought to determine the gene expression profiles of normal, precancer, and cancer cells, leading eventually to improved detection, diagnosis, and treatment for the patient. Resources generated by the CGAP initiative are available to the broad cancer community. Interconnected modules provide access to all CGAP data, bioinformatic analysis tools, and biological resources allowing the user to find "in silico" answers to biological questions in a fraction of the time it once took in the laboratory. ... [Information of the supplier]
We present a neural network based method (ChloroP) for identifying chloroplast transit peptides and their cleavage sites. Using cross-validation, 88% of the sequences in our homology reduced training set were correctly classified as transit peptides or nontransit peptides. This performance level is well above that of the so far only publicly available chloroplast localization predictor PSORT. Cleavage sites are predicted using a scoring matrix derived by an automatic motif-finding algorithm. Approximately 60% of the known cleavage sites in our sequence collection were predicted to within +- 2 residues from the cleavage sites given in SWISS-PROT. An analysis of 715 A. thaliana sequences from SWISS-PROT suggests that the ChloroP method should be useful for the identification of putative transit peptides in genome-wide sequence data. ... [Information of the supplier]
CATH is a hierarchical classification of protein domain structures, which clusters proteins at four major levels, Class(C), Architecture(A), Topology(T) and Homologous superfamily (H).Class, derived from secondary structure content, is assigned for more than 90% of protein structures automatically. Architecture, which describes the gross orientation of secondary structures, independent of connectivities, is currently assigned manually. The topology level clusters structures into fold groups according to their topological connections and numbers of secondary structures. The homologous superfamilies cluster proteins with highly similar structures and functions. The assignments of structures to fold groups and homologous superfamilies are made by sequence and structure comparisons. The boundaries and assignments for each protein domain are determined using a combination of automated and manual procedures. These include computational techniques, empirical and statistical evidence, literature review and expert analysis. ... [Information of the supplier]