We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Virtual database currently indexing interaction between genes and diseases from Online Mendelian Inheritance in Man (OMIM) and Comparative Toxicogenomics Database (CTD).
Database of all cell lines used in biomedical research which include immortalized cell lines, naturally immortal cell lines (stem cells), widely used and distributed finite life cell lines, vertebrate cell lines (majority being human, mouse, and rat), and invertebrate (insects and ticks) cell lines, as well as cell line synonyms. Each cell line is provided with the following information: the recommended name (the name which appears in the original publication), a list of synonyms, a unique accession number, comments on a number of topics including misspellings and gene transfection, information on the tissue/organ origin with the UBERON code, the NCI Thesaurus or Orphanet ORDO code for the disease(s) the individual suffered from (for cancer and human genetic disease lines only), the species of origin, the parent cell line, cross-references of sister cell lines, the sex of the individual, the category in which the cell line belongs (Adult stem cell; Cancer cell line; Embryonic stem cell; Factor-dependent cell line; Finite cell line; Hybrid cell line; Hybridoma; Induced pluripotent stem cell; Spontaneously immortalized cell line; Stromal cell line; Telomerase immortalized cell line; Transformed cell line; Undefined cell line type), web links, publication references, and/or cross-references to cell line catalogs/collections, ontologies, cell lines databases/resources, and to databases that list cell lines as samples.
Set of measures intended for use in large-scale genomic studies. Facilitate replication and validation across studies. Includes links to standards and resources in effort to facilitate data harmonization to legacy data. Measurement protocols that address wide range of research domains. Information about each protocol to ensure consistent data collection.Collections of protocols that add depth to Toolkit in specific areas.Tools to help investigators implement measurement protocols.
A peer review service resource which allows researchers to dictate the time constraints in which their manuscripts are peer reviewed. Authors submit their manuscript to Peerage of Science before submitting to any journal and decide the deadlines for the four stages of the process (which are "Submission and Reviews," "Peer-review-of-peer-review," "Manuscript revision upload or withdrawal for re-submission," and "Final evaluation of the revised manuscript"). Once submitted, any qualified, non-affiliated Peer can choose to review the manuscript. The peer reviews are peer reviewed and are also available to all subscribing journals with automated event tracking. Authors may accept a direct publishing offer from a subscribing journal, or choose to export the peer reviews to any journal of their choice.
Software for rapid and sensitive classification of metagenomic sequences. Used for the classification of DNA sequences from microbial samples and analysis of large metagenomics data sets on conventional desktop computers.
The HCV Immunology Database contains a curated inventory of immunological epitopes in HCV and their interaction with the immune system, with associated retrieval and analysis tools. The funding for the HCV database project has stopped, and this website and the HCV immunology database are no longer maintained. The site will stay up, but problems will not be fixed. The database was last updated in September 2007. The HIV immunology website contains the same tools, and may be usable for non-HCV-specific analyses. For new epitope information, users of this database can try the Immuno Epitope Database (http://www.immuneepitope.org).
A software application that calculates and runs a GLM on graph theory properties derived from brain networks. The GLM accepts continuous and categorical between-participant predictors and categorical within-participant predictors. Significance is determined via non-parametric permutation tests. Both fully connected and thresholded networks are tested. The toolbox also provides a data processing path for resting state and (block design) task fMRI data. Options for partialing nuisance signals include local and total white matter signal and PCA of white matter/ventricular signal. For task fMRI, connectivity matrices are computed for each condition by dividing up the timeseries. To compensate for HDR-related delay, the timeseries is deconvolved, allowing for division at the actual onset/offset times.
Database and index for huge amounts of small files. Files are stored concatenated in one big data file, with second file contains plain text index, giving name, offset and length of small files.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 18th, 2016. A foundation that was founded in 2001, and sponsors academic centers throughout the US. The MIchael Stern Parkinson's Research Foundation focuses its efforts mainly on finding the causes of the disease, finding effective treatments, and discovering a cure for the disease. The foundation is notably looking into dopamine and its effects on neural connections, as well its possibility to be used for treatment.
Dr. Greengard has assembled a close knit group of more than 25 outstanding scientists who are focused on translating the fundamental understandings about the dopamine system into new treatments for Parkinson's. The core team of researchers is based at the Stern Foundation laboratory on the campus of The Rockefeller University interacts continually with collaborators from the United Kingdom, France, Sweden, Italy, Japan and Korea. This global presence ensures that no promising research lead is overlooked, and that progress can be made on multiple fronts simultaneously. As the Foundation grew it was able to expand its support for critical neurological research to two other institutions, Harvard University's McLean Hospital, where we support the research of Dr. Ole Isacson whose research lab, The Stern Center for Neuroregeneration Research is using gene therapy to protect the most vulnerable neurons in PD models; and the Institute for Neurodegenerative Disorders, where Yale Professors Dr. Ken Marek and Dr. John Seibyl are developing novel tools for early detection and monitoring of Parkinson's disease by studying physiologic, biochemical and neuroimaging biomarkers for non-dominergic manifestations of Parkinsonism. :NIF thanks the Parkinson's Disease Foundation, http://www.pdf.org for their referral of this resource to us.
A clinical toolbox useful for normalizing data from individuals with brain injury and/or modalities popular in the clinical environment (CT). It supports either enantiomorphic or lesion-masked normalization. It can be either scripted or used with SPM's simple graphical interface.
Software tool as pairwise alignment for nucleotide sequences. Alignment program to map DNA or long mRNA sequences against large reference database. Versatile pairwise aligner for genomic and spliced nucleotide sequences.
The Generic GO Term Finder finds the significant GO terms shared among a list of genes from an organism, displaying the results in a table and as a graph (showing the terms and their ancestry). The user may optionally provide background information or a custom gene association file or filter evidence codes. This tool is capable of batch processing multiple queries at once. GO::TermFinder comprises a set of object-oriented Perl modules GO::TermFinder can be used on any system on which Perl can be run, either as a command line application, in single or batch mode, or as a web-based CGI script. This implementation, developed at the Lewis-Sigler Institute at Princeton, depends on the GO-TermFinder software written by Gavin Sherlock and Shuai Weng at Stanford University and the GO:View module written by Shuai Weng. It is made publicly available through the GMOD project. The full source code and documentation for GO:TermFinder are freely available from http://search.cpan.org/dist/GO-TermFinder/. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
A toolbox for a point-process derived GLM analysis of eye tracking data in Matlab. Data loading, model specification, fitting and review are organized into a sequence of events, each of which is handled by a separate module in the toolbox. The graphical interface was created using the Matlab graphical user interface development environment.
Command line program that performs analyses or modifications on both trees and data matrices. Software phyloinformatics tool for trees, alignments and molecular data. Used for summarizing and manipulating phylogenetic trees, manipulating molecular data and retrieving data from NCBI.
A series of structural brain images, as well as their anatomic segmentations, demographic and behavioral data and a set of related morphometric resources (static and dynamic atlases) made avaialble from the Child and Adolescent NeuroDevelopment Initiative (CANDI) at UMass Medical School. Schiz Bull 2008 data is now available on NITRC-IR. Please register for access: http://www.nitrc.org/project/request.php?group_id=377
This module reduces Rician noise on nhdr/nrrd DWIs. It filters the image in the mean squared error sense using a Rician noise model. All estimations are performed as sample estimates in a "shaped neighborhood" defined by the weights extracted from the structural similarity of the voxels following the same idea as in the Non-Local Means filter.
Software program for adapter trimming that is specially designed for processing Illumina paired-end sequences.
Databases which provide clustered sets of sequences from UniProt Knowledgebase and selected UniParc records, in order to obtain complete coverage of sequence space at several resolutions while hiding redundant sequences from view. The UniRef100 database combines identical sequences and sub-fragments with 11 or more residues (from any organism) into a single UniRef entry. The sequence of a representative protein, the accession numbers of all the merged entries, and links to the corresponding UniProtKB and UniParc records are all displayed in the entry. UniRef90 and UniRef50 are built by clustering UniRef100 sequences with 11 or more residues such that each cluster is composed of sequences that have at least 90% (UniRef90) or 50% (UniRef50) sequence identity to the longest sequence (UniRef seed sequence). All the sequences in each cluster are ranked to facilitate the selection of a representative sequence for the cluster.
This tool allows segmenting neonate brain MRI using a subject-specific atlas. It generates a subject-specific atlas based on an atlas population and some diffusion images of the subject to segment. Then a single atlas method is run with this atlas to obtain results.