We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Non-profit research center dedicated to the study of the human genome. Expert staff and pioneering programs in the fields of personalized medicine, cell biology, cytogenetics, genotyping, and biobanking drive our mission. The emerging field of personalized medicine draws upon a person's genomic information to tailor treatments and prescription drug dosing to optimize health outcomes. The Coriell Personalized Medicine Collaborative (CPMC) research study is seeking to understand the usefulness of genetic risk and pharmacogenomics in clinical decision-making and healthcare management. Coriell has a distinguished history in cell biology. We are building upon this expertise by playing an important role in induced pluripotent stem (iPS) cell research. These powerful cells, which can be made from skin cells or blood, are revolutionizing the way human disease is studied and how drugs are developed. The decline of neurons afflicted with Alzheimer's disease or pancreatic cells fighting diabetes can be studied in a Petri dish. By proving efficacy within the diseased environment prior to clinical trial, drugs can move through the pipeline quicker to reach patients sooner. In addition to pioneering cutting-edge research initiatives, Coriell offers custom research services including cell culture, cytogenetic analyses, and molecular biology to the scientific community. Furthermore, Coriell's Genotyping and Microarray Center is one of the nation's largest centers, with high-throughput DNA analysis systems from Illumina and Affymetrix. The Center is CLIA-certified in 48 states.
A database to support research on drugs for the treatment of different neurological disorders. It contains agents that act on neuronal receptors and signal transduction pathways in the normal brain and in nervous disorders. It enables searches for drug actions at the level of key molecular constituents, cell compartments and individual cells, with links to models of these actions.
Tool for multiple sequence alignment using various sources of external information that is particularly useful to detect local homologies in sequences with low overall similarity. While standard alignment methods rely on comparing single residues and imposing gap penalties, DIALIGN constructs pairwise and multiple alignments by comparing entire segments of the sequences. No gap penalty is used. This approach can be used for both global and local alignment, but it is particularly successful in situations where sequences share only local homologies. Several versions of DIALIGN are available online at GOBICS, http://dialign.gobics.de/
Cancer institute that provides expert, compassionate care to children and adults with cancer while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. As an affiliate of Harvard Medical School and a Comprehensive Cancer Center designated by the National Cancer Institute, the Institute also provides training for new generations of physicians and scientists, designs programs that promote public health particularly among high-risk and underserved populations, and disseminates innovative patient therapies and scientific discoveries to their target community across the United States and throughout the world.<BR/>
This web-server takes a user-supplied sequence of a DNA-binding protein and predicts residue positions involved in interactions with DNA. Prediction can be performed using a profile of evolutionary conservation of the input sequence automatically generated by the web-server or the input sequence alone. Three prediction methods are run for each input sequence and consensus prediction is generated.
Software for differential expression analysis of RNA-seq using the Poisson-Tweedie family of distributions.
Sequence analysis toolkit that contains a lot of sequence analysis algorithms, including methods for 1) motif statistics, e.g. compute the exact occurrence count distribution of a motif, 2) exact motif discovery: extraction of motifs with provably optimal p-value, 3) analysis of pattern matching algorithms: compute (for given algorithm and pattern) the exact distribution of the number of character accesses caused by searching a random text, 4) statistics of fragment masses resulting from proteolytic cleavage of proteins, 5) computing the expectated read length of sequencing reads for a given dispensation order (for 454 or IonTorrent) and 6) analysing sensitivity of spaced alignment seeds.
Produce resources to unravel the interface between insulin action, insulin resistance and the genetics of type 2 diabetes including an annotated public database, standardized protocols for gene expression and proteomic analysis, and ultimately diabetes-specific and insulin action-specific DNA chips for investigators in the field. The project aims to identify the sets of the genes involved in insulin action and the predisposition to type 2 diabetes, as well as the secondary changes in gene expression that occur in response to the metabolic abnormalities present in diabetes. There are five major and one pilot project involving human and rodent tissues that are designed to: * Create a database of the genes expressed in insulin-responsive tissues, as well as accessible tissues, that are regulated by insulin, insulin resistance and diabetes. * Assess levels and patterns of gene expression in each tissue before and after insulin stimulation in normal and genetically-modified rodents; normal, insulin resistant and diabetic humans, and in cultured and freshly isolated cell models. * Correlate the level and patterns of expression at the mRNA and/or protein level with the genetic and metabolic phenotype of the animal or cell. * Generate genomic sequence from a panel of humans with type 2 diabetes focusing on the genes most highly regulated by insulin and diabetes to determine the range of sequence and expression variation in these genes and the proteins they encode, which might affect the risk of diabetes or insulin resistance. The DGAP project will define: * the normal anatomy of gene expression, i.e. basal levels of expression and response to insulin. * the morbid anatomy of gene expression, i.e., the impact of diabetes on expression patterns and the insulin response. * the extent to which genetic variability might contribute to the alterations in expression or to diabetes itself.
A command-line utility for bigWig files designed to read bigWig files rapidly and efficiently, providing functionality for extracting data and summarizing it in several ways, globally or at specific regions. Its functionality is subdivided into subprograms that roughly fall into three categories: data extraction, analysis, and data modification, although e.g. in the case of the matrix program or the sax program, the boundary between data extraction and analysis isn't very strong. The data modification programs all have the behavior that a bigWig is inputted and a new bigWig is outputted.
Software for fast and very memory-efficient calculation of isotope patterns, subsequent convolution to theoretical envelopes (profiles) plus valley detection and centroidization or intensoid calculation. Batch processing, resolution interpolation, wrapper, adduct calculations and molecular formula parsing.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 30,2025. Database which provides a comprehensive set of functional annotation tools for investigators to understand biological meaning behind large list of genes. For any given gene list, DAVID tools are able to perform a variety of actions such as identifying enriched biological themes (particularly GO terms), discovering enriched functional-related gene groups, clustering redundant annotation terms, and visualizing genes on BioCarta and KEGG pathway maps.
Software platform for complex network analysis and visualization. Used for visualization of molecular interaction networks and biological pathways and integrating these networks with annotations, gene expression profiles and other state data.
Database aimed at disseminating information on three-dimensional biopolymer structures with an emphasis on visualization and analysis. It provides access to all structure entries deposited at the Protein Data Bank (PDB) or at the Nucleic Acid Database (NDB). In addition, basic information on the architecture of biopolymer structures is available. The JenaLib intends to fulfill both scientific and educational needs. Authors who are willing to make available images or coordinates to the scientific community via the Image Library of Biological Macromolecules are requested to contact the author. A PDB/SWISS-PROT cross-reference database combines information from both PDB and SWISS-PROT, thus providing significantly more cross-references than either PDB or SWISS-PROT. The existing brief descriptions of X-ray, NMR and FTIR methods for structure determination are supplemented by information on circular dichroism.
Open source database of curated, non-redundant set of profiles derived from published collections of experimentally defined transcription factor binding sites for multicellular eukaryotes. Consists of open data access, non-redundancy and quality. JASPAR CORE is smaller set that is non-redundant and curated. Collection of transcription factor DNA-binding preferences, modeled as matrices. These can be converted into Position Weight Matrices (PWMs or PSSMs), used for scanning genomic sequences. Web interface for browsing, searching and subset selection, online sequence analysis utility and suite of programming tools for genome-wide and comparative genomic analysis of regulatory regions. New functions include clustering of matrix models by similarity, generation of random matrices by sampling from selected sets of existing models and a language-independent Web Service applications programming interface for matrix retrieval.
An open source Genome Browser that visualizes data generated by PacBio Sequencing Systems. * Users can explore and interact with all types of analysis results, including resequencing, De novo, cDNA, and barcoding. * Users can also visualize base modifications, base identification and motifs analysis results.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 08, 2013. A repository for physical mapping data of the human X chromosome that aims at providing a global view of genomic data at a chromosomal level including an integrated physical, genetic, transcript and sequence map of the human X chromosome. This implies acquiring, understanding and formatting an enormous amount of experimental results and can only be accomplished progressively. We have chosen to start the integration process with YAC maps generated by the community. These provide the basis for future higher resolution physical maps, as well as emerging transcript and sequence maps. The current content of IXDB therefore reflects this situation, with the emphasis placed on YAC mapping data. Due to their immediate value, IXDB has also started to systematically include bacterial clone contig maps and EST data. Currently IXDB does not store sequence data, although links to nucleic sequence databases are provided.
Software tools for manipulating HDF5 files produced by Pacific Biosciences. Specifically, this package provides functionality for manipulating and extracting data from cmp.h5 and bas.h5 files.
Software library for accessing data in HDF5 files produced by Pacific Biosciences sequencing machines. The R package supports accessing data from: cmp.h5, bas.h5, pls.h5, and trc.h5.
Software function that calculates the isotopic pattern (fine structures) for a given chemical formula.
Portal for Recommendations on Biochemical and Organic Nomenclature, Symbols and Terminology. NC IUBMB,established by IUPAC-IUBMB Joint Commission, publishes standards on biochemical nomenclature, including enzyme nomenclature, in some cases jointly with the International Union of Pure and Applied Chemistry (IUPAC).