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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://cbs.ym.edu.tw/services/islander/about.cgi
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. Islander is a comprehensive online database containing genomic islands discovered in completely sequenced bacterial genomes by the algorithm. Islands are transmitted between prokaryotic strains and therefore play a major role in genome evolution. An island often encodes an integrase gene that specifies the island''s position in the host genome. Usually integrases specify tRNA genes, and the island splits the the tRNA gene when it integrates. However the island also carries sequence that replaces the split-off portion, restoring an intact tRNA gene. Thus an island is often marked by a tRNA gene at one end, and a fragment of that gene at the other end. The islands in this database were identified using this principle through the following procedure: :1. Search for tRNA and tmRNA genes using tRNAscan-SE and BRUCE on whole prokaryotic genomes. :2. Search for significant hits to each tRNA and tmRNA gene using BLAST against the source genome. :3. Narrow down hits to those containing integrase genes (required for site-specific integration into the host genome). :4. Remove false positives (e.g., tRNA gene fragment not from end of gene, or in wrong orientation). :5. Enter into mysql database, display on website using Perl CGI pages., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Islander (RRID:SCR_007758) Copy
https://www.scienceexchange.com/labs/virginia-bioinformatics-institute-vt
THIS RESOURCE IS NO LONGER IN SERVCE, documented January 23, 2019. Core functions as a multi-user resource dedicated to the development and application of various high-throughput technologies to aid in the discovery of biological macromolecules. Core provides analysis platforms for DNA (sequencing and genotyping), RNA (gene expression analysis) and proteins (proteomics). They also offer a selection of molecular biology applications (colony picking, cloning, DNA/RNA isolations).
Proper citation: Virginia Bioinformatics Institute (RRID:SCR_012636) Copy
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
