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http://www.BioMedSearch.com

BioMedSearch is a biomedical search engine that contains NIH/PubMed documents, plus a large collection of theses, dissertations, and other publications not found anywhere else for free, making it the most comprehensive free search on the web. :Besides free-form search, users can search based on Author, Journal Title, Publication Date, the Language in which the article was published (many non-English articles have English language abstracts), MeSH (Medical Subject Headings) and more. : The goal of BioMedSearch.com is to provide free access to a massive collection of authoritative documents relating to the biomedical field. Our mission is to make these important works available to the community in a way that is fast and easy, while still offering the advanced features demanded by power users such as portfolios, collaboration features, bibliographical citation export, alerts, and more. Whether you are doctor, scientist, or someone interested in researching a medical topic out of personal interest, BioMedSearch aggregates a vast number of authoritative documents in one place to make finding medical information easy, fast and free.

Proper citation: Biomedical Search: Medical Research and Health Resources (RRID:SCR_008683) Copy   

•   Source: SciCrunch Registry

http://www.molgen.ua.ac.be/ADMutations/default.cfm?MT=1&ML=0&Page=ADMDB

A locus-specific database aimed at collecting known mutations and non-pathogenic coding variations in the genes related to Alzheimer disease (AD) and frontotemporal dementia (FTD), following the guidelines of the Human Genome Variation Society. Mutations can be retrieved based on the gene, phenotype and publication. The database contains mutations reported in the literature and at scientific meetings, and unpublished mutations directly submitted to the database. To date, AD&FTDMDB contains mutations in the genes encoding the Amyloid Beta Precursor Protein (APP), Presenilin 1 (PSEN1), Presenilin 2 (PSEN2), Chromatin Modifying Protein 2B (CHMP2B), fusion (involved in t(12;16) in malignant liposarcoma) (FUS), Granulin (GRN), Microtubule Associated Protein Tau (MAPT), TAR DNA binding protein (TARDBP) and Valosin-containing Protein (VCP) and holds 415 different mutations observed in 1027 patients or families. As of March 2013, the latest publications referenced were from 2008, indicating that this resource may not be up to date.

Proper citation: Alzheimer Disease and Frontotemporal Dementia Mutation Database (RRID:SCR_008286) Copy   

•   Source: SciCrunch Registry

http://www.compneuro.org/CDROM/catacomb/index.html

Catacomb consists of a set of frameworks for various types of models in neuroscience, user interfaces to facilitate building models within these frameworks, and numerical algorithms to compute their behavior. The available frameworks include reaction kinetics, reaction diffusion systems, kinetic scheme models of ion channels, small neuron models and integrate and fire networks. It is a library of models (data structures and algorithms) covering a range of problems in neuroscience together with a versatile graphical user interface for constructing and running specific instances of the models. Some features of Catacomb include: * Class models. There is a growing set of classes containing data structures and calculation methods for various problem domains in neuroscience - reaction schemes, stochastic channel models, integrate-and-fire networks, cell geometry et al. * Dynamic interface builder. Using Java''s reflection capabilities, individual user interfaces are constructed for each class model allowing new instances to be created and displaying the results of any calculation methods they may contain. * Parameter watching. Using Java threads, the calculations are rerun and results displayed whenever parameters upon which they depend are changed. * Session recording. Operations can be recorded and played back for illustrating how to use Catacomb or for preconfigured demonstrations of model behavior. * Compatible with JPython. Catacomb does not include its own interpreter except in the minimal sense required to parse its own saved files. But its objects and methods are accessible to JPython which can be used for command line access or scripting. * Applet building. The contents of windows in the display can be extracted and packaged together in a single panel for loading as an applet. The model is saved as a java source file which, once compiled, can be packaged with the original Catacomb archive for loading from a Web page. See the AppletConfigEditor.

Proper citation: Components And Tools for Accessible COmputer Modeling in (neuro)Biology (RRID:SCR_008321) Copy   

•   Source: SciCrunch Registry

http://bioinf.xmu.edu.cn:8080/software/CYTOSVM/cytosvm.php

Cytokines are a diverse group of cell intercellular messengers responsible for signaling variety of cell functions, such as immunity, hematopoiesis, chemotactic activities, cell maturation, proliferation, growth and differentiation through their interactions with respective receptors on cell membranes. Currently, a number of cytokines have been identified and classified

Proper citation: CytoSVM statistics (RRID:SCR_008442) Copy   

•   Source: SciCrunch Registry

http://rsat.ulb.ac.be/rsat/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Retrieve-ensembl-seq is included in the software suite regulatory sequence analysis tools (RSAT), allowing instant submission of retrieved sequences to further analysis tools. AVAILABILITY: retrieve-ensembl-seq is integrated in the RSAT suite: http://rsat.ulb.ac.be/rsat. Web site: http://rsat.ulb.ac.be/rsat/retrieve-ensembl-seq_form.cgi. Web services: http://rsat.ulb.ac.be/rsat/web_services/RSATWS.wsdl. Stand-alone distribution: freely available under an academic licence to download from the RSAT web site. The complete manual, a convenient tutorial and demos are available from the RSAT website. Additional help can be found on the RSAT public forum.

Proper citation: Regulatory Sequence Analysis Tools (RRID:SCR_008560) Copy   

•   Source: SciCrunch Registry

http://www.stanford.edu/group/exonarray/cgi-bin/plot_selector.pl

Transcriptome database of acutely isolated purified astrocytes, neurons, and oligodendrocytes. Provides improved cell-type-specific markers for better understanding of neural development, function, and disease.

Proper citation: Exon Array Browser (RRID:SCR_008712) Copy   

•   Source: SciCrunch Registry

http://cushing.med.yale.edu/gsdl/cgi-bin/library

The images in this collection are derived from high resolution scans of glass 3.25 X 4 inch lantern slides that were part of a large collection of slides covering his years at the Rockefeller University and Yale University School of Medicine. These selected images were scanned by James D. Jamieson, M.D., Ph.D., a student of Palade. The images also include some of the earliest electron micrographs taken by collaborators of George Palade both at the Rockefeller University (1945 - 1973) and at Yale (1973 - 1990). They include micrographs taken by Professor Marilyn Farquhar, Ph.D., whose studies elucidated the function of the glomerular basement membrane in renal filtration. There are 5 ways to find information in this collection: search for particular words that appear in the text by clicking the Search button; browse documents by Title by clicking the Titles button; browse documents by Subject by clicking the Subjects button; browse documents by Creator by clicking the Creators button, and browse documents by References by clicking the References button. Sponsors: This collection is the result of a collaboration between James D. Jamieson, M.D., Ph.D., Professor, Dept. of Cell Biology, and Arthur R. Belanger, OBE, Systems Manager, Harvey Cushing/John Hay Whitney Medical Library, both at the Yale University School of Medicine.

Proper citation: George E. Palade EM Slide Collection. (RRID:SCR_008675) Copy   

•   Source: SciCrunch Registry

http://recombineering.ncifcrf.gov/

Recombineering (recombination-mediated genetic engineering) is a powerful method for fast and efficient construction of vectors for subsequent manipulation of the mouse genome or for use in cell culture experiments. It is also an efficient way of manipulating the bacterial genome directly. Recombineering is a method based on homologous recombination in E. Coli using recombination proteins provided from ? phage. Our bacterial strains contain a defective ? prophage inserted into the bacterial genome. The phage genes of interest, exo, bet, and gam, are transcribed from the ?PL promoter. This promoter is repressed by the temperature-sensitive repressor cI857 at 32C and derepressed (the repressor is inactive) at 42C. When bacteria containing this prophage are kept at 32C no recombination proteins are produced. However, after a brief (15 minutes) heat-shock at 42C a sufficient amount of recombination proteins are produced. exo is a 5''-3'' exonuclease that creates single-stranded overhangs on introduced linear DNA. bet protects these overhangs and assists in the subsequent recombination process. gam prevents degradation of linear DNA by inhibiting E. Coli RecBCD protein. Linear DNA (PCR product, oligo, etc.) with sufficient homology in the 5'' and 3'' ends to a target DNA molecule already present in the bacteria (plasmid, BAC, or the bacterial genome itself) can be introduced into heat-shocked and electrocompetent bacteria using electroporation. The introduced DNA will now be modified by exo and bet and undergo homologous recombination with the target molecule. The method is so efficient that co-electroporation of a supercoiled plasmid and a linear piece of DNA into heat-shocked, electrocompetent bacteria will work as well.

Proper citation: Recombineering Information (RRID:SCR_008556) Copy   

•   Source: SciCrunch Registry

http://mips.helmholtz-muenchen.de/funcatDB/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 19, 2019. The Functional Catalogue is an annotation scheme for the functional description of proteins of prokaryotic and eukaryotic origin. Taking into account the broad and highly diverse spectrum of known protein functions, the FunCat consists of 28 main functional categories (or branches) that cover general fields like cellular transport, metabolism and cellular communication/signal transduction. The main branches exhibit a hierarchical, tree like structure with up to six levels of increasing specificity. In total, the FunCat version 2.1 includes 1362 functional categories. This general concept was retained since the annotation of the Saccharomyces cerevisiae genome with only 4 revisions and later on also proved to be well suited for the annotation of genomes from different domains of life (Ruepp et al. 2004). The present and previous versions as well as a version mapping file of the FunCat and annotation data of our core projects can be downloaded via FTP. The MIPS Functional Catalogue Database provides a search tool to browse and search the Functional Categories including the FunCat Number, description, EC number, GO number or keywords associated with the categories. All FunCat annotated proteins and the amount of Co-annotated-FunCats can be retrieved starting with a specific category in a selected organism. A statistical survey of the functional distribution of a given set of genes/entries, e. g. a set of genes with up-regulated expression under a certain condition can be retrieved.

Proper citation: MIPS FunCat (RRID:SCR_008709) Copy   

•   Source: SciCrunch Registry

http://www.cmbi.ru.nl/GeneSeeker/

The GeneSeeker allows you to search across different databases simultaneously, given a known human genetic location and expression/phenotypic pattern. The GeneSeeker returns any found gene names which are located on the specified location and expressed in the specified tissue. To search for more expression location in one search, just enter them in the textbox for the expression location and separate them with logical operators (and, or, not). You can specify as many tissues as you want, the program starts 20 queries simultaneously, and then waits for a query to finish before starting another query, to keep server loads to a minimum. You can also search only for expression, just leave the cytogenetic location fields blank, and do the query. If you only want to look for one cytogenetic location, only fill in the first location field, and the GeneSeeker will search with only this one. Housekeeping genes , found in Swissprot can be excluded, or genes that are to be excluded can be specified. Human chromosome localizations are translated with an oxford-grid to mouse chromosome localizations, and then submitted to the Mgd. Sponsors: GeneSeeker is a service provided by the Centre for Molecular and Biomolecular Informatics (CMBI).

Proper citation: GeneSeeker (RRID:SCR_008347) Copy   

•   Source: SciCrunch Registry

http://bionot.askhermes.org/integrated/BioNot.uwm

Database of negated biomedical sentences in literature consisting of more than 32 million negated sentences. Negated sentences were detected using the algorithm described in - Shashank Agarwal, Hong Yu Biomedical negation scope detection with Conditional Random Fields Journal of the American Medical Informatics Association (JAMIA), 2010; 17:696-701. After entering your query in the search box (for example MeCP2 autism), the search results with the negated sentence and the sentences preceding and following the negated sentences are displayed. A link to the source of the sentence is also provided, which links to the article from which the negated sentence was extracted. BioNOT is no longer updated. Documented 2013.

Proper citation: BioNOT (RRID:SCR_008743) Copy   

•   Source: SciCrunch Registry

http://empai.iab.keio.ac.jp/

emPAI (exponentially modified protein abundance index), developed by Ishihama et al., is a measure to describe the protein composition in sample solutions. When the total protein amount in the sample is available, emPAI can be converted to the absolute amount of each protein in the sample. emPAI is derived from PAI, which is defined as the number of the observed peptides divided by the number of the observable peptides per protein. We recently found that log (PAI) had linear relationship to the protein amounts, and that emPAI, 10^(PAI)-1, was proportional to the protein amounts for whole cell lysate digested by trypsin. The accuracy of this method was within factor 5, similar or better than determination of abundance by protein staining

Proper citation: Exponentially Modified Protein Abundance Index (RRID:SCR_008616) Copy   

•   Source: SciCrunch Registry

http://openlibrary.org/

Open Library is a project of the non-profit Internet Archive, and is funded in part by a grant from the California State Library. They have a small team of fantastic programmers who have accomplished a lot, but we can''t do it alone! This is an Open project - the software is open, the data is open, the documentation is open, and the site is open. To build it, they need hundreds of millions of book records, a brand new database infrastructure for handling huge amounts of dynamic information, a wiki interface, multi-language support, and people who are willing to contribute their time, effort, and book data. To date, they have gathered about 30 million records (20 million are available through the site now), and more are on the way. They have built the database infrastructure and the wiki interface, and you can search millions of book records, narrow results by facet, and search across the full text of 1 million scanned books. Sponsors: Open Library is funded by a grant from the California State Library.

Proper citation: Open Library (RRID:SCR_008295) Copy   

•   Source: SciCrunch Registry

http://dcv.uhnres.utoronto.ca/SCRIPDB/search/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 2, 2025. Database of chemicals and reactions inside of US patents (2001 - 2011). SCRIPDB provides the full original patent text, reactions and relationships described within any individual patent, in addition to the molecular files common to structural databases. The patent literature is a rich catalog of biologically relevant chemicals; many public and commercial molecular databases contain the structures disclosed in patent claims. However, patents are an equally rich source of metadata about bioactive molecules, including mechanism of action, disease class, homologous experimental series, structural alternatives, or the synthetic pathways used to produce molecules of interest. Unfortunately, this metadata is discarded when chemical structures are deposited separately in databases. SCRIPDB is a chemical structure database designed to make this metadata accessible. The SCRIPDB information is valuable in medical text mining, chemical image analysis, reaction extraction and in silico pharmaceutical lead optimization. SCRIPDB may be searched by exact chemical structure, substructure or molecular similarity and the results may be restricted to patents describing synthetic routes.

Proper citation: SCRIPDB (RRID:SCR_008922) Copy   

•   Source: SciCrunch Registry

http://lsid.tdwg.org/

A web based life sciences identifier (LSID) resolution service allows you to view the data and metadata of an LSID with a web browser. This service will display the metadata, formatted as a standard webpage, for any LSID.

Proper citation: LSID Web Resolver (RRID:SCR_009737) Copy   

•   Source: SciCrunch Registry

http://dnatraffic.ibb.waw.pl/

DNAtraffic database is dedicated to be an unique comprehensive and richly annotated database of genome dynamics during the cell life. DNAtraffic contains extensive data on the nomenclature, ontology, structure and function of proteins related to control of the DNA integrity mechanisms such as chromatin remodeling, DNA repair and damage response pathways from eight model organisms commonly used in the DNA-related study: Homo sapiens, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans, Saccharomyces cerevisiae, Schizosaccharomyces pombe, Escherichia coli and Arabidopsis thaliana. DNAtraffic contains comprehensive information on diseases related to the assembled human proteins. Database is richly annotated in the systemic information on the nomenclature, chemistry and structure of the DNA damage and drugs targeting nucleic acids and/or proteins involved in the maintenance of genome stability. One of the DNAtraffic database aim is to create the first platform of the combinatorial complexity of DNA metabolism pathway analysis. Database includes illustrations of pathway, damage, protein and drug. Since DNAtraffic is designed to cover a broad spectrum of scientific disciplines it has to be extensively linked to numerous external data sources. Database represents the result of the manual annotation work aimed at making the DNAtraffic database much more useful for a wide range of systems biology applications. DNAtraffic database is freely available and can be queried by the name of DNA network process, DNA damage, protein, disease, and drug.

Proper citation: DNAtraffic (RRID:SCR_008886) Copy   

•   Source: SciCrunch Registry

http://neuromorphometrics.com/?page_id=23

Collection of neuroanatomically labeled MRI brain scans, created by neuroanatomical experts. Regions of interest include the sub-cortical structures (thalamus, caudate, putamen, hippocampus, etc), along with ventricles, brain stem, cerebellum, and gray and white matter and sub-divided cortex into parcellation units that are defined by gyral and sulcal landmarks.

Proper citation: Manually Labeled MRI Brain Scan Database (RRID:SCR_009604) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-3/search?q=*

A virtual database currently indexing available cell lines from: Coriell Cell Repositories, International Mouse Strain Resource (IMSR), ATCC, NIH Human Pluripotent Stem Cell Registry, NIGMS Human Genetic Cell Repository, and Developmental Therapeutics Program.

Proper citation: Integrated Cell Lines (RRID:SCR_008994) Copy   

•   Source: SciCrunch Registry

http://www.ohsu.edu/xd/research/centers-institutes/neurology/alzheimers/research/data-tissue/clinical-data.cfm

A database housing longitudinal relational research data from over 4,000 research subjects. The database includes the following types of data: physical and neurological exam findings, neurocognitive test scores, personal and family history of dementia, personal demographic genotypes (APOE, HLA), age at service evaluations, age at onset, age at death, clinical diagnosis, neuropathology diagnosis, tissue inventory information (when available), health status, medications, laboratory tests, and MRI data.

Proper citation: Layton Center Clinical Data Resources (RRID:SCR_008822) Copy   

•   Source: SciCrunch Registry

http://wren.bcf.ku.edu/

The Autism Genetic Database currently contains the full list of autism susceptibility genes as well as all Copy Number Variations (CNVs) found to have a relationship to autism. Additionally, all noncoding RNA molecules (snoRNA, miRNA, and piRNA) and chemically induced fragile sites are stored as well. This information is currently accessible via an in-house human genome browser focusing specifically on the chromosomal features associated with autism, and in a tabular format broken down by chromosome. Genome Browser:A genome browser that displays the genes, CNVs, ncRNAs and fragile sites in an easily accessible graphical visualization tool Tabular Data Display:A tabular data display that allows the user to observe the chromosomal spatial relationship between the genes, CNVs, ncRNAs and fragile sites. This also provides links to Entrez and pubmed for each gene, as well as miRBase for miRNAs, snoRNA-LBME-db for snoRNAs, and piRNABank for piRNAs.

Proper citation: Autism Genetic Database (RRID:SCR_010545) Copy   

•   Source: SciCrunch Registry