Tools   Select Another Resource Report Type

http://wwwmgs.bionet.nsc.ru/mgs/programs/panalyst/

WebProAnalyst provides web-accessible analysis for scanning the quantitative structure-activity relationships in protein families. It searches for a sequence region, whose substitutions are correlated with variations in the activities of a homologous protein set, the so-called activity modulating sites. WebProAnalyst allows users to search for the key physicochemical characteristics of the sites that affect the changes in protein activities. It enables the building of multiple linear regression and neural networks models that relate these characteristics to protein activities. WebProAnalyst implements multiple linear regression analysis, back propagation neural networks and the Structure-Activity Correlation/Determination Coefficient (SACC/SADC). A back propagation neural network is implemented as a two-layered network, one layer as input, the other as output (Rumelhart et al, 1986). WebProAnalyst uses alignment of amino acid sequences and data on protein activity (pK, Km, ED50, among others). The input data are the numerical values for the physicochemical characteristics of a site in the multiple alignment given by a slide window. The output data are the predicted activity values. The current version of WebProAnalyst handles a single activity for a single protein. The SACC/SADC may be defined as an estimate of the strongest multiple correlation between the physicochemical characteristics of a site in a multiple alignment and protein activities. The SACC/SADC coefficient makes possible the calculation of the possible highest correlation achievable for the quantitative relationship between the physicochemical properties of sites and protein activities. The SACC/SADC is a convenient means for an arrangement of positions by their functional significance. WebProAnalyst outputs a list of multiple alignment positions, the respective correlation values, also regression analysis parameters for the relationships between the amino acid physicochemical characteristics at these positions and the protein activity values.

Proper citation: Webproanalyst (RRID:SCR_008348) 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://connectivity.brain-map.org/

Map of neural connections in mouse brain, built on an array of transgenic mice genetically engineered to target specific cell types. In addition to the connectivity data, information about the transgenic mouse lines and genetic tracers is available. Consists of high resolution 2-D projectivity image data that can be viewed side-by-side with the associated reference atlas and other reference datasets. Enables 3-D visualization and spatial/ontological search of connectivity models through a combination of manual and informatics analyses.

Proper citation: Allen Mouse Brain Connectivity Atlas (RRID:SCR_008848) 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://bioinfo.au.tsinghua.edu.cn/MethCGI/MethCGI.html

MethCGI is a tool to predict the methylation status of CpG islands in the human brain, developed on the data from human brain DNA using support vector machine (SVM).

Proper citation: MethCGI (RRID:SCR_010565) Copy   

•   Source: SciCrunch Registry
  

http://www.danubianbiobank.de/

Not yet vetted by NIF curator

Proper citation: Danubian Biobank Consortium (RRID:SCR_010566) Copy   

•   Source: SciCrunch Registry
  

http://psb.kobic.re.kr/STAP/refinement/

STAP refinement of NMR Database is based the Statistical Torsion Angles Potentials to refine the NMR structure. It stored original solution NMR structures from the Protein Data Banks and our refined structures. Currently we carried out 2,405 refined NMR structure (until Sept 20, 2011). According to several studies, some nuclear magnetic resonance (NMR) structures are of lower quality, less reliable and less suitable for structural analysis than high-resolution X-ray crystallographic structures. STAP of NMR Refinement Database is a public database of 2405 refined NMR solution structures from the Protein Data Bank (PDB). A simulated annealing protocol was employed to obtain refined structures with target potentials, including the newly developed STAP. The refined database was extensively analyzed using various quality indicators from several assessment programs to determine the nuclear Overhauser effect (NOE) completeness, Ramachandran appearance, (1)-(2) rotamer normality, various parameters for protein stability and other indicators. Most quality indicators are improved in our protocol mainly due to the inclusion of the newly developed knowledge-based potentials. This database can be used by the NMR structure community for further development of research and validation tools, structure-related studies and modelling in many fields of research.

Proper citation: Statistical Torsional Angles Potentials of NMR Refinement Database (RRID:SCR_008917) 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
  

https://www.ohsu.edu/transgenic-mouse-models-core

Core assists investigators with developing genetically engineered rodent models of human diseases for studying mutant genes and investigating molecular mechanisms underlying pathological processes.

Proper citation: OHSU Animal Model Support Core Facility (RRID:SCR_009994) 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
  

http://wpicr.wpic.pitt.edu/WPICCompGen/genomic_control/genomic_control.htm

Software application where GC implements the genomic control models. GCF implements the basic Genomic Control approach, but adjusts the p-values for uncertainty in the estimated effect of substructure. This approach is preferable if a large number of tests will be evaluated because it provides a more accurrate assessment of the significance level for small p-values. (entry from Genetic Analysis Software)

Proper citation: GC/GCF (RRID:SCR_009075) Copy   

•   Source: SciCrunch Registry
  

http://www.intlbiobank.com/

Not yet vetted by NIF curator

Proper citation: International Biobank, Inc. (RRID:SCR_010549) Copy   

•   Source: SciCrunch Registry
  

http://www.demogr.mpg.de/databases/ktdb/

A database that includes data on death counts and population counts classified by sex, age, year of birth, and calendar year for more than 30 countries. This database was established for estimating the death rates at the highest ages (above age 80). The core set of data in the database was assembled, tested for quality, and converted into cohort mortality histories by V��in�� Kannisto, the former United Nations advisor on demographic and social statistics. Comparable materials on England and Wales, was made available by A. Roger Thatcher, the former Director of the Office of Population Censuses and Surveys and Registrar-General of England and Wales (Kannisto, 1994). The Kannisto-Thatcher database was computerized under the supervision of James W. Vaupel at the Aging Research Unit of the Centre for Health and Social Policy at Odense University Medical School in 1993. Currently, the database is maintained by the Max Planck Institute for Demographic Research, Germany.

Proper citation: Kannisto-Thatcher Database on Old Age Mortality (RRID:SCR_008936) Copy   

•   Source: SciCrunch Registry
  

http://www.brc.riken.go.jp/lab/cell/english/

Not yet vetted by NIF curator

Proper citation: Riken BRC Cell Bank (RRID:SCR_010553) Copy   

•   Source: SciCrunch Registry