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http://genetrail.bioinf.uni-sb.de/

A web-based application that analyzes gene sets for statistically significant accumulations of genes that belong to some functional category. Considered category types are: KEGG Pathways, TRANSPATH Pathways, TRANSFAC Transcription Factor, GeneOntology Categories, Genomic Localization, Protein-Protein Interactions, Coiled-coil domains, Granzyme-B clevage sites, and ELR/RGD motifs. The web server provides two statistical approaches, "Over-Representation Analysis" (ORA) comparing a reference set of genes to a test set, and "Gene Set Enrichment Analysis" (GSEA) scoring sorted lists of genes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GeneTrail (RRID:SCR_006250) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.intec.ugent.be/magic/

Web based interface for exploring and analyzing a comprehensive maize-specific cross-platform expression compendium. This compendium was constructed by collecting, homogenizing and formally annotating publicly available microarrays from Gene Expression Omnibus (GEO), and ArrayExpress.

Proper citation: Magic (RRID:SCR_006406) Copy   

•   Source: SciCrunch Registry

http://neurocritic.blogspot.com/

The Neurocritic is a blog deconstructing the most sensationalistic recent findings in Human Brain Imaging, Cognitive Neuroscience, and Psychopharmacology. Born in West Virginia in 1980, The Neurocritic embarked upon a roadtrip across America at the age of thirteen with his mother. She abandoned him when they reached San Francisco and The Neurocritic descended into a spiral of drug abuse and prostitution. At fifteen, The Neurocritic''s psychiatrist encouraged him to start writing as a form of therapy.

Proper citation: Neurocritic (RRID:SCR_006528) Copy   

•   Source: SciCrunch Registry

http://www.genedb.org/Homepage/Pfalciparum

Database of the most recent sequence updates and annotations for the P. falciparum genome. New annotations are constantly being added to keep up with published manuscripts and feedback from the Plasmodium research community. You may search by Protein Length, Molecular Mass, Gene Type, Date, Location, Protein Targeting, Transmembrane Helices, Product, GO, EC, Pfam ID, Curation and Comments, and Dbxrefs. BLAST and other tools are available. The P. falciparum 3D7 nuclear genome is 23.3 Mb in size, with a karyotype of 14 chromosomes. The G+C content is approximately 19%. The P. falciparum genome is undergoing re-annotation. This process started in October 2007 with a weeklong workshop co-organized by staff from the Wellcome Trust Sanger Intistute and the EuPathDB team. Ongoing curation and sequence checking is being carried out by the Pathogen Genomics group. Plasmodium falciparum is the most deadly of the five Plasmodium species that cause human malaria. Malaria has a massive impact on human health; it is the worlds second biggest killer after tuberculosis. Around 300 million clinical cases occur each year resulting in between 1.5 - 2.7 million deaths annually, the majority in sub-saharan Africa. It is estimated that 3,000 children under the age of five years fall victim to malaria each day. Around 40% of the worlds population are at risk. In collaboration with EuPathDB, genomic sequence data and annotations are regularly deposited on PlasmoDB where they can be integrated with other datasets and queried using customized queries.

Proper citation: GeneDB Pfalciparum (RRID:SCR_006567) Copy   

•   Source: SciCrunch Registry

http://athina.biol.uoa.gr/PRED-TMR2/

A web server that classifies proteins into two classes from their sequences alone: the membrane protein class and the non-membrane protein class. This may be important in the functional assignment and analysis of open reading frames (ORF''s) identified in complete genomes and, especially, those ORF''s that correspond to proteins with unknown function. The network has a simple hierarchical feed-forward topology and a limited number of neurons which makes it very fast. By using only information contained in 11 protein sequences, the method was able to identify, with 100% accuracy, all membrane proteins with reliable topologies collected from several papers in the literature. Applied to a test set of 995 globular, water-soluble proteins, the neural network classified falsely 23 of them in the membrane protein class (97.7% of correct assignment). The method was also applied to the complete SWISS-PROT database with considerable success and on ORF''s of several complete genomes. The neural network developed was associated with the PRED-TMR algorithm (Pasquier,C., Promponas,V.J., Palaios,G.A., Hamodrakas,J.S. and Hamodrakas,S.J., 1999) in a new application package called PRED-TMR2.

Proper citation: PRED-TMR2 (RRID:SCR_006205) Copy   

•   Source: SciCrunch Registry

http://www.civm.duhs.duke.edu/neuro2012ratatlas/

Multidimensional atlas of the adult Wistar rat brain based on magnetic resonance histology (MRH). The atlas has been carefully aligned with the widely used Paxinos-Watson atlas based on optical sections to allow comparisons between histochemical and immuno-marker data, and the use of the Paxinos-Watson abbreviation set. Our MR atlas attempts to make a seamless connection with the advantageous features of the Paxinos-Watson atlas, and to extend the utility of the data through the unique capabilities of MR histology: a) ability to view the brain in the skull with limited distortion from shrinkage or sectioning; b) isotropic spatial resolution, which permits sectioning along any arbitrary axis without loss of detail; c) three-dimensional (3D) images preserving spatial relationships; and d) widely varied contrast dependent on the unique properties of water protons. 3D diffusion tensor images (DTI) at what we believe to be the highest resolution ever attained in the rat provide unique insight into white matter structures and connectivity. The 3D isotropic data allow registration of multiple data sets into a common reference space to provide average atlases not possible with conventional histology. The resulting multidimensional atlas that combines Paxinos-Watson with multidimensional MRH images from multiple specimens provides a new, comprehensive view of the neuroanatomy of the rat and offers a collaborative platform for future rat brain studies. To access the atlas, click view supplementary materials in CIVMSpace at the bottom of the following webpage.

Proper citation: Adult Wistar Rat Atlas (RRID:SCR_006288) Copy   

•   Source: SciCrunch Registry

http://amp.pharm.mssm.edu/l2n/upload/register.php

A web-based software system that allows users to upload lists of mammalian genes/proteins onto a server-based program for integrated analysis. The system includes web-based tools to manipulate lists with different set operations, to expand lists using existing mammalian networks of protein-protein interactions, co-expression correlation, or background knowledge co-annotation correlation, as well as to apply gene-list enrichment analyses against many gene-list libraries of prior biological knowledge such as pathways, gene ontology terms, kinase-substrate, microRNA-mRAN, and protein-protein interactions, metabolites, and protein domains. Such analyses can be applied to several lists at once against many prior knowledge libraries of gene-lists associated with specific annotations. The system also contains features that allow users to export networks and share lists with other users of the system.

Proper citation: Lists2Networks (RRID:SCR_006323) Copy   

•   Source: SciCrunch Registry

http://athina.biol.uoa.gr/PRED-TMR/

A web server that predicts transmembrane domains in proteins using solely information contained in the sequence itself. The algorithm refines a standard hydrophobicity analysis with a detection of potential termini (edges, starts and ends) of transmembrane regions. This allows both to discard highly hydrophobic regions not delimited by clear start and end configurations and to confirm putative transmembrane segments not distinguishable by their hydrophobic composition. The accuracy obtained on a test set of 101 non homologous transmembranes proteins with reliable topologies compares well with that of other popular existing methods. Only a slight decrease in prediction accuracy was observed when the algorithm was applied to all transmembrane proteins of the SwissProt database (release 35).

Proper citation: PRED-TMR (RRID:SCR_006203) Copy   

•   Source: SciCrunch Registry

http://www003.upp.so-net.ne.jp/pub/publications.html#sl

Software application for inkage disequilibrium grouping of single nucleotide polymorphisms (SNPs) reflecting haplotype phylogeny for efficient selection of tag SNPs. (entry from Genetic Analysis Software)

Proper citation: LDGROUP (RRID:SCR_006282) Copy   

•   Source: SciCrunch Registry

http://omia.angis.org.au/

Describes phenotype relationships with between breeds and genes. Catalogue/compendium of inherited disorders, other (single-locus) traits, and genes in 245 animal species. Database of genes, inherited disorders and traits in animal species other than human, mouse, and rats. Database contains textual information and references, as well as links to relevant records from OMIM, PubMed and Gene.

Proper citation: OMIA - Online Mendelian Inheritance in Animals (RRID:SCR_006436) Copy   

•   Source: SciCrunch Registry

http://compbio.charite.de/phenomizer/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 31,2026. Phenomizer offers three different approaches to find the appropriate term for a phenotypic abnormality, indicated by the three tabs on the left hand side: Feature, Disease and Ontology. The Phenomizer is intended to be used by qualified and licensed physicians in order to provide assistance in reaching the correct diagnosis in patients with hereditary diseases and for use as a teaching aid. The Phenomizer does not make diagnoses. Rather, it produces a ranked list of possibilities that can be used by physicians as a part of the diagnostic workup. The Phenomizer does not contain information about all possible diagnoses or even all possible hereditary diseases. The Phenomizer should not be used to make medical decisions without the advice of a physician.

Proper citation: Phenomizer (RRID:SCR_006157) Copy   

•   Source: SciCrunch Registry

http://www.wwpdb.org/

Public global Protein Data Bank archive of macromolecular structural data overseen by organizations that act as deposition, data processing and distribution centers for PDB data. Members are: RCSB PDB (USA), PDBe (Europe) and PDBj (Japan), and BMRB (USA). This site provides information about services provided by individual member organizations and about projects undertaken by wwPDB. Data available via websites of its member organizations.

Proper citation: Worldwide Protein Data Bank (wwPDB) (RRID:SCR_006555) Copy   

•   Source: SciCrunch Registry

http://biobankireland.com/

Biobank Ireland Trust promotes the development of an Irish Hospital Biobank Network to coordinate collection of small samples of cancer and normal tissue and coded patient data from those having a cancer operation. This will facilitate international molecular research collaborations, which may help identify the best treatment for each individual patient - personalized medicine. Biobank Ireland is promoting the development of a Hospital Biobank Network throughout the island of Ireland as a bridge between cancer research and care. This new infrastructure will facilitate large national and international translational research collaborations that will raise Ireland''s research profile and benefit those with cancer. Researchers will have online access to samples and to restricted patient data from participating hospitals and an equitable withdrawal process for scientifically and ethically approved projects. Important research results will be explained to the public. Other Objectives: * To facilitate (inter)national translational research collaborations that may lead to new tests and better, less toxic treatments for those with cancer * To enable molecular research on cancer tissue from clinical trials patients identify the best treatment for each individual patient ������??personalized medicine������?? * Researchers will have online access to samples and restricted patient data from participating hospitals, and a fair release process for scientifically and ethically approved projects * Biobank Ireland recognizes the need to have harmonization in biobanking around the world * Important research results will be explained to the public * Biobank Ireland will seek to have the hospital-based Biobank Network funded by government as standard of care

Proper citation: Biobank Ireland Trust (RRID:SCR_006430) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/geo/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19, 2022.

Proper citation: NCBI Epigenomics (RRID:SCR_006151) Copy   

•   Source: SciCrunch Registry

http://www.neuralconnections.net/

Blog is first and foremost dedicated to circuitry, all the way from a small cluster of connections in a small brain area to wide-spread circuitry between several brain areas (local, regional and functional connectivity). My Philosophy (on neuroscience): I do not think that functions of the brain (and/or mind) can be localized to certain areas (modular zones). This is a distributed, interactive function in a neural network. Second, there is usually an underlying tone that relates to the hippocampus, and/or the post has a systems-level approach to it. Postings will most likely be in a review-esque fashion. This is really meant to be an information resource. I hope to get more opinion pieces in there sometime. Posts are usually what I am currently researching, interested in, or what I have previously done research on at one time. I also want to build a community of professionals and others interested in neuroscience and/or psychology (philosophy of mind, too!). The blog, in general, helps everything (the information) stay fresh in my mind.

Proper citation: Neural Connections (RRID:SCR_006986) Copy   

•   Source: SciCrunch Registry

http://commonfund.nih.gov/molecularlibraries/ipdc/index.aspx

A core synthesis facility dedicated to the preparation of imaging probes, initially for intramural NIH scientists, and later, for the extramural scientific community. The IPDC provides a mechanism for the production of sensitive probes for use by imaging scientists who cannot obtain such probes commercially. The probes to be made will encompass all major imaging modalities including radionuclide, magnetic resonance, and optical. Nearly all of these imaging probes are not commercially available, nor are they viable commercial products, and most are new compositions-of-matter (http://nihlibrary.ors.nih.gov/ipdcdb/IPDCDB_Search.asp). The IPDC was born from the realization that imaging technologies will be crucial in basic, translational, and clinical research in the 21st century, and that the synthetic chemistry required to reliably produce imaging probes lies at the heart of research within imaging technologies. To this end, the IPDC has recruited the equipment and expertise to concurrently synthesize multiple types of imaging probes for bioscientists with diverse research interests, encompassing all imaging modalities, including optical, radionuclide, ultrasound, and magnetic resonance. The IPDC embodies an exciting new approach to apply and combine chemistry and imaging sciences toward specific problems in biology and medical sciences, and will be a truly interdisciplinary effort aimed at maximizing returns from the revolutionary new discoveries being described in modern imaging. A significant part of the IPDC will also be directed, independently, to the discovery of new imaging approaches and compositions. The IPDC houses scientific staff, mostly chemists, who have interests and expertise in one or more aspects of molecular imaging. The IPDC is generating known and novel imaging probes for targeting receptors, cells, and tissues, and for preclinical in vivo evaluations by its intramural collaborators. Many such interesting agents have been described in the scientific literature, but are often not explored further due to lack of a reliable supply of reagent. One aspect of the IPDC''s mission is to rectify this situation. IPDC-supplied reagents will not be limited to one imaging modality, but will include the flexible application of diverse technologies. Also, the IPDC will seek to develop novel state-of-the-art imaging probes in collaboration with biological and biomedical intramural scientists who can provide or suggest suitable targeting agent/receptor pairs. The Imaging Probe Development Center (IPDC) was initiated in the incubator space of the Common Fund and has transitioned to the intramural program of the National Heart, Lung, and Blood Institute.

Proper citation: Imaging Probe Development Center (IPDC) (RRID:SCR_006744) Copy   

•   Source: SciCrunch Registry

http://www.bioinsilico.org/cgi-bin/CAPSDB/staticHTML/home

It is a structural classification of helix-cappings or caps compiled from protein structures. Caps extracted from protein structures have been structurally classified based on geometry and conformation and organized in a tree-like hierarchical classification where the different levels correspond to different properties of the caps. CASP-DB is fully browsable and searchable and is regularly updated. The regions of the polypeptide chain immediately preceding or following a helix are known as Nt- and Ct cappings, respectively. Cappings play a central role stabilizing helices due to lack of intrahelical hydrogen bonds in the first and last turn. Sequence patterns of amino acid type preferences have been derived for cappings but the structural motifs associated to them are still unclassified. CAPS-DB is a database of clusters of structural patterns of different capping types. The clustering algorithm is based in the geometry and the space conformation of these regions. CAPS-DB is a relational database that allows the user to search, browse, inspect and retrieve structural data associated to cappings. The contents of CAPS-DB might be of interest to a wide range of scientist covering different areas such as protein design and engineering, structural biology and bioinformatics. CapsDB v4.0 * PDB structures: 4591 * Number of clusters: 859 * Number of caps: 31452

Proper citation: CAPS Database (RRID:SCR_006862) Copy   

•   Source: SciCrunch Registry

http://scop.mrc-lmb.cam.ac.uk/scop/

The Structural Classification of Proteins (SCOP) database is a comprehensive ordering of all proteins of known structure, according to their evolutionary and structural relationships. Protein domains in SCOP are hierarchically classified into families, superfamilies, folds and classes. The continual accumulation of sequence and structural data allows more rigorous analysis and provides important information for understanding the protein world and its evolutionary repertoire. SCOP participates in a project that aims to rationalize and integrate the data on proteins held in several sequence and structure databases. As part of this project, starting with release 1.63, we have initiated a refinement of the SCOP classification, which introduces a number of changes mostly at the levels below superfamily. The pending SCOP reclassification will be carried out gradually through a number of future releases. In addition to the expanded set of static links to external resources, available at the level of domain entries, we have started modernization of the interface capabilities of SCOP allowing more dynamic links with other databases.

Proper citation: SCOP: Structural Classification of Proteins (RRID:SCR_007039) Copy   

•   Source: SciCrunch Registry

http://chemistry.st-andrews.ac.uk/staff/jbom/group/databases.html

It is a publicly available web-based database that aims to provide further understanding of protein-ligand interactions. It''s a resource containing biomolecular data, including binding energies, Tanimoto ligand similarity scores and protein sequence similarities of protein-ligand complexes. The PLD contains biomolecular data including calculated binding energies, Tanimoto ligand similarity scores and protein percentage sequence similarities. The database has potential for application as a tool in molecular design.

Proper citation: Protein Ligand Database (RRID:SCR_006980) Copy   

•   Source: SciCrunch Registry

http://www.physionet.org/physiobank/database/gaitndd/

Database of records from patients with Parkinson's disease (n = 15), Huntington's disease (n = 20), or amyotrophic lateral sclerosis (n = 13). Records from 16 healthy control subjects are also included here. The raw data were obtained using force-sensitive resistors, with the output roughly proportional to the force under the foot. Stride-to-stride measures of footfall contact times were derived from these signals.

Proper citation: Gait Dynamics in Neuro-Degenerative Disease Data Base (RRID:SCR_006979) Copy   

•   Source: SciCrunch Registry