The life sciences Global Image Database (GID)

Although a vast amount of life sciences data is generated in the form of images, most scientists still store images on extremely diverse and often incompatible storage media, without any type of metadata structure, and thus with no standard facility with which to conduct searches or analyses. Here we present a solution to unlock the value of scientific images. The Global Image Database (GID) is a web-based (http://www.g wer.ch/qv/gid/gid.htm) structured central repository for scientific annotated images. The GID was designed to manage images from a wide spectrum of imaging domains ranging from microscopy to automated screening. The annotations in the GID define the source experiment of the images by describing who the authors of the experiment are, when the images were created, the biological origin of the experimental sample and how the sample was processed for visualization. A collection of experimental imaging protocols provides details of the sample preparation, and labeling, or visualization procedures. In addition, the entries in the GID reference these imaging protocols with the probe sequences or antibody names used in labeling experiments. The GID annotations are searchable by field or globally. The query results are first shown as image thumbnail previews, enabling quick browsing prior to original-sized annotated image retrieval. The development of the GID continues, aiming at facilitating the management and exchange of image data in the scientific community, and at creating new query tools for mining image data.

Why are patients prescribed proton pump inhibitors? Retrospective analysis of link between morbidity and prescribing in the General Practice Research Database

Objectives: To establish the relation between new prescriptions for proton pump inhibitors and recorded upper gastrointestinal morbidity within a large computerised general practitioner database.

FULL-malaria: a database for a full-length enriched cDNA library from human malaria parasite, Plasmodium falciparum

FULL-malaria is a database for a full-length-enriched cDNA library from the human malaria parasite Plasmodium falciparum (http://133.11.149.55/). Because of its medical importance, this organism is the first target for genome sequencing of a eukaryotic pathogen; the sequences of two of its 14 chromosomes have already been determined. However, for the full exploitation of this rapidly accumulating information, correct identification of the genes and study of their expression are essential. Using the oligo-capping method, we have produced a full-length-enriched cDNA library from erythrocytic stage parasites and performed one-pass reading. The database consists of nucleotide sequences of 2490 random clones that include 390 (16%) known malaria genes according to BLASTN analysis of the nr-nt database in GenBank; these represent 98 genes, and the clones for 48 of these genes contain the complete protein-coding sequence (49%). On the other hand, comparisons with the complete chromosome 2 sequence revealed that 35 of 210 predicted genes are expressed, and in addition led to detection of three new gene candidates that were not previously known. In total, 19 of these 38 clones (50%) were full-length. From these obser­vations, it is expected that the database contains ∼1000 genes, including 500 full-length clones. It should be an invaluable resource for the development of vaccines and novel drugs.

IMGT, the international ImMunoGeneTics database

IMGT, the international ImMunoGeneTics database, freely available at http://imgt.cines.fr:8104, was created in 1989 at the Université Montpellier II, CNRS, Mont­pellier, France, and is a high quality integrated information system specialising in immunoglobulins, T cell receptors and major histocompatibility complex molecules of human and other vertebrates. IMGT provides researchers and clinicians with a common access to all nucleotide, protein, genetic and structural immunogenetics data. This information is of high value for medical and veterinary research, biotechnology related to antibody and T cell receptor engineering, genome diversity and evolution studies of the immune response.