We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
http://www.cdc.gov/niosh/oep/funding.html
A simple arithmetic coding based compressor for the SAM and BAM (DNA sequence alignment) file format.
Tissue bank for collecting, cataloging and storing postmortem brain tissue samples from subjects with and without neurological disorders. Specimens are available for research on cognitive impairment, Alzheimer's, dementia and other disorders along with clinical data such as demographic information, health and family history and neuropsychological test scores. The bank provides services to distribute postmortem brain tissue and other samples to investigators for use in research that will provide qualitative and quantitative diagnostic information to physicians, families, and researchers.
Software application for identifying all Mendelian inconsistencies in complex pedigree data with thousand of individuals, including many loops and several errors. Can also infer missing genotypes. (entry from Genetic Analysis Software)
An algorithm to assemble transcripts and estimate their expression levels from RNA-Seq reads.
Software package to explore high-throughput ''C'' data such as 5C or Hi-C.
A perl script that finds microsatellite repeat elements directly from raw 454 or Illumina paired-end sequencing reads.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 24,2023. It provides annotated sequence data and classifications for the genomes of eighteen species of hemiascomycete yeasts, including nine complete genomes. The Gnolevures web resources provides genetic element pages, orthologs defined by syntenic homology, protein families, a genome browser for interspecies comparison, and data sets for downloading. An advanced search facility permits a number of criterion-based and full text queries. Classification data, including protein families and orthologs, and the most up-to-date genome annotations, are for the most part not available in general-purpose sequence data bases such as EMBL/GenBank/DDBJ.
A gold-standard dataset of biologically relevant binding sites in protein structures. It consists of proteins with one unbound structure and at least one structure of the protein-ligand complex. Both a redundant and a non-redundant (sequence identity lower than 25) version is available. Quaternary structures proposed by PQS (2) are used for all structures in the dataset. The availability of both unbound and bound structures for each protein guarantees that our dataset can be used to benchmark binding site prediction methods, in conditions that mimic cases where the binding site is truly unknown. In cases where several different bound structures are available for a given protein, all are used to define the binding sites.
Fast and lightweight package for mapping bisulfite converted DNA sequencing reads from the Illumina platform.
A nucleotide sequence similiary search tool which is far faster than BLAST for large datasets, with only a marginal loss in search sensitivity.
A Python application for creating linear comparison figures of multiple genomic loci with an easy-to-use graphical user interface (GUI).
We provide plasmid cloning services. Our procedures allow cloning not only by using restriction enzymes but also in restriction-enzymes-independent ways. This allows sequence modification in areas where no suitable restriction sites are present. Examples for services offered: - Amplification of insert from one plasmid and cloning in another plasmid. - Addition of sequence to an existing plasmid, for example adding FLAG+myc tags, restriction sites, linkers, shRNA coding sequences, can add up to 100 bp in one cloning operation. - Introducing site directed mutations, can modify multiple bases within a 50 bp sequence in one cloning operation. - Deletion of sequences of any length from a plasmid. - Insertion of one gene fragment in to another gene, for example for making a chimeric protein. - Cloning an insert in to a plasmid while adding a tag at the 5'' or 3'' ends of the insert. - Cloning an insert while adding a polyglycine spacer to prevent structural effects of tags on your protein. - Any other sequence modifications by request.
The Research Computing System is a vision for a user controlled collection of applications, tools, and services integrated through a uniform understanding of user identity and the communities (groups) to which the user belongs. This environment enables seamless access to shared resources and facilitates collaborations within departments, across campus and around the globe. The RCS development project is a collaborative effort to build a private cloud to support the construction and operation of research applications. RCS is the collection of these resources and the communities surrounding their development. RCS is an open development effort that welcomes participation of those interested in the construction, use, or operation of this platform.
Software tools and databases for plant genomics.
The National Center for Medical Rehabilitation Research (NCMRR) established a multi-center network of sites that are working together to design clinical intervention protocols and measures of outcome for TBI. Through rigorous patient evaluation, using common protocols and interventions designed for multiple points of care����??including the accident scene, emergency room, intensive care unit, rehabilitation and long-term follow-up����??the NCMRR TBI Clinical Trials Network can study the required numbers of patients to provide answers more rapidly than individual centers acting alone. This interdisciplinary research Network is designed to evaluate the relationship among acute care practice, rehabilitation strategies, and the long-term functional outcome of TBI patients����??that is, to identify which intervention variables result in improvements in long-term outcomes. Taking advantage of the network model structure has allowed TBI research to progress toward a number of clinical research goals. Specifically, the NCMRR wants to highlight two major achievements to date. First, the TBI Network created a profile of its typical patient to determine the number of patients with different clinical features who might be eligible for future studies and to help estimate recruitment times necessary. Second, Network researchers are developing clinical treatment guidelines and procedures for all points in the continuum of care, including TBI Clinical Trials Network Guidelines for surgical care, systems-based protocol for severe and moderate TBI patients, deep-vein thrombosis prophylaxis procedures, and rehabilitation guidelines for physical therapy, speech-language pathology, occupational therapy, and neuropsychology.
The HTPSELEX database contains sets of in vitro selected transcription factor binding site sequences obtained via a high-throughput SELEX (HTPSELEX) method. In addition, the database also contains binding sites obtained with conventional SELEX method. The database hosts 12 individual Selex libraries for the transcription factors CTF/NF1 and LEF/TCF families totaling more than 40,000 sites. In addition we also have manually curated SELEX datasets from the literature for 25 different transcription factors.
Cancer and many other human diseases arise from gene defects, which are either inherited or occur - as in most cancers spontaneously in somatic cells. These defects cause aberrant activities of gene products and malfunctioning of molecular and cellular interactions, thereby inducing tumors and accompanying cancer progression. The central objective of our division is to understand the complex molecular processes of human health and disease. In particular, we are working on tools for improving diagnosis of malfunctioning and prognosis for patients as well as the identification and validation of novel targets for therapies. Main interest of the division is on cellular signaling networks and their roles in cancer drug resistance and metastasis. To this end, we apply high-throughput functional genomics and proteomics technologies, and analyze candidate genes using in vitro and in vivo systems. The division organizes the conference Systems Genomics 2010 (September 29 - October 1, 2010 at the DKFZ Heidelbeg) and aims at advancing the integration of high-throughput genomics, quantitative proteomics, computational biology, and clinics. Internationally outstanding speakers will discuss their latest results in molecular and translational disease research Sponsor. This work was supported in part by the National Genome Research Network (Contract No. 01GS0864) of the Federal Ministry of Education and Research (BMBF) and by Wilhelm-Sander Stiftung (Contract No. 2009.051.1). JDZ is supported by the DKFZ International PhD Program. We thank Moritz Kblbeck, Christian Schmidt and Ute Ernst for their excellent technical assistance.
It is an international research infrastructure for investigators interested in conducting population and clinic-based interdisciplinary studies on the genetic and molecular epidemiology of colon cancer and its behavioral implications. A central goal of the C-CFR is the translation of this research to the clinical and prevention setting for the benefit of Registry participants and the general public. The C-CFR has information and biospecimens contributed by greater than 11,300 families across the spectrum of risk for colon cancers and from population-based or relative controls. Of particular interest are: identification and characterization of cancer susceptibility genes definition of gene-gene and gene-environment interactions in cancer etiology translational, preventive, and behavioral implications of research findings Special features include: population-based and clinic-based ascertainment systematic collection of validated family history epidemiologic risk factor data clinical and follow-up data biospecimens (including tumor blocks and EBV transformed cell lines) ongoing molecular characterization of the participating families Goals: to contribute to the development of public health measures for the general population by increasing knowledge on genetic factors affecting cancer susceptibility and modification by environmental and lifestyle factors to protect those with increased susceptibility from developing cancer to provide life-prolonging treatment to genetically susceptible individuals Objectives: to establish a comprehensive research resource infrastructure to assist with the implementation of collaborative, interdisciplinary research protocols in the genetic epidemiology of cancer to identify, characterize, and follow-up a cohort of individuals and their family members, spanning the spectrum of cancer risk to identify diverse genetically susceptible populations that could benefit from enrollment in preventive and therapeutic interventions to develop an adaptive and evolving informatics model to support ongoing and future research consortia Sponsor. This study was supported by National Cancer Institute Grants R01 CA47147, R01 CA47305, and R01 CA69664.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 32,2023.