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Software programs for segregation and linkage analysis, using a variety of Markov chain Monte Carlo (MCMC) methods. Includes MCMC methods for multilocus gene identity by descent (including homozygosity mapping) and Monte Carlo Lod scores. Also, other programs for EM analysis of quantitative traits.
An open source tool to help researchers document, manage, and archive their tabular data that integrates with Microsoft Excel. The tool will parse .xlsx or .csv file to detect the presence of potential issues that do not comply with data management best practices, assign a unique identifier to a data set and deposit it within the DataONE repository system.
Biomedical technology research center that advances the technology of Imaging Mass Spectrometry, facilitates the application of this novel imaging modality to problems of biological and clinical significance, and promotes the adoption of these technologies by a larger community of scientists and clinicians. Technical innovations include next-generation hardware, software and methods. Technology development is conducted by an interdisciplinary team of scientists and engineers, both within the Resource and through collaborative relationships with other universities, research institutes, and private industry. Development milestones are guided by Driving Biological Projects that require specific advancements in Imaging Mass Spectrometry in order to address biological problems. By working together, they anticipate new insights into these biological systems and a better understanding of health and disease at the molecular level that translates to improved patient care. The training mission of the Resource is accomplished through a variety of educational programs where Resource scientists and collaborators share their knowledge and experience with those interested in learning more about the technology.
Scientific and engineering development software for numerical computations, data analysis and data visualization based on Python programming language, Qt graphical user interfaces and Spyder interactive scientific development environment. Used to interpreted languages (such as MATLAB or IDL) or compiled languages (C/C++ or Fortran) to switch to Python.
SEER collects cancer incidence data from population-based cancer registries covering approximately 47.9 percent of the U.S. population. The SEER registries collect data on patient demographics, primary tumor site, tumor morphology, stage at diagnosis, and first course of treatment, and they follow up with patients for vital status.There are two data products available: SEER Research and SEER Research Plus. This was motivated because of concerns about the increasing risk of re-identifiability of individuals. The Research Plus databases require more rigorous process for access that includes user authentication through Institutional Account or multiple-step request process for Non-Institutional users.
Issues guidelines for nomenclature and classification of human biological targets, including targets of current and future prescription medicines. Works to facilitate interface between discovery of new sequences from Human Genome Project and designation of derived entities as functional biological targets and potential drug targets. Developes database which provides access to data on all known biological targets.
diArk provides access to eukaryotic sequencing projects that have resulted in genome assemblies or cDNA/EST datasets. It gives users a comprehensive search module, as well as detailed options and three different views of the selected data. We have done our best to include all eukaryotic sequencing projects in the world that provide assembled genomic data or a considerable amount of cDNA/EST data.
Database that integrates large-scale functional genomics assays and manual cDNA annotation with bioinformatics gene expression and protein analysis. LifeDB integrates data regarding full length cDNA clones and data on expression of encoded protein and their subcellular localization on mammalian cell line. LifeDB enables the scientific community to systematically search and select genes, proteins as well as cDNA of interest by specific database identifiers as well as gene name. It enables to visualize cDNA clone and subcellular location of proteins. It also links the results to external biological databases in order to provide a broader functional information. LifeDB also provides an annotation pipeline which facilitates an improved mapping of clones to known human reference transcripts from the RefSeq database and the Ensembl database. An advanced web interface enables the researchers to view the data in a more user friendly manner. Users can search using any one of the following search options available both in Search gene and cDNA clones and Search Sub-cellular locations of human proteins: By Keyword, By gene/transcript identifier, By plate name, By clone name, By cellular location. * The Search genes and cDNA clones results include: Gene Name, Ensemble ID, Genomic Region, Clone name, Plate name, Plate position, Classification class, Synonymous SNP''s, Non- synonymous SNP''s, Number of ambiguous positions, and Alignment with reference genes. * The Search sub-cellular locations of human proteins results include: Subcellular location, Gene Name, Ensemble ID, Clone name, True localization, Images, Start tag and End tag. Every result page has an option to download result data (excluding the microscopy images). On click of ''Download results as CSV-file'' link in the result page the user will be given a choice to open or save result data in form of a CSV (Comma Separated Values) file. Later the CSV file can be easily opened using Excel or OpenOffice.
Database of human and mouse primer pairs for gene expression analysis by polymerase chain reaction (PCR) and quantitative PCR (qPCR). A total of 306,800 primers covering most known human and mouse genes can be accessed from the PrimerBank database, together with information on these primers such as T(m), location on the transcript and amplicon size. For each gene, at least one primer pair has been designed and in many cases alternative primer pairs exist. Primers have been designed to work under the same PCR conditions, thus facilitating high-throughput QPCR. All primers in PrimerBank were carefully designed to ensure gene specificity. All experimental validation data for mouse primers are available from PrimerBank. You can submit your primers. They will be added to the database once they are properly QCd.
A prospective, double-blind, randomized, sham-controlled, multi-center clinical trial that enrolls subjects who have received a prior cholecystectomy and are diagnosed with the clinical syndrome of Sphincter of Oddi Dysfunction III (SOD III) as defined by the Rome III criteria. The goal of the study is to asses the value of endoscopic sphincterotomy as a treatment for adult subjects categorized as SOD III suffering from pain after cholecystectomy and to define the role of manometry in treating these patients.
Collection of revertible protein trap gene-breaking transposon (GBT) insertional mutants in zebrafish with active or cryopreserved lines from initially identified lines. Open to community-wide contributions including expression and functional annotation and represents world-wide central hub for information on how to obtain these lines from diverse members of International Zebrafish Protein Trap Consortium (IZPTC) and integration within other zebrafish community databases including Zebrafish Information Network (ZFIN), Ensembl and National Center for Biotechnology Information. Registration allows users to save their favorite lines for easy access, request lines from Mayo Clinic catalog, contribute to line annotation with appropriate credit, and puts them on optional mailing list for future zfishbook newletters and updates.
The official source of information about Google Scholar. Google Scholar provides a simple way to broadly search for scholarly literature. From one place, you can search across many disciplines and sources: articles, theses, books, abstracts and court opinions, from academic publishers, professional societies, online repositories, universities and other web sites. Google Scholar helps you find relevant work across the world of scholarly research.
This unique summer school focuses on computational techniques integrating the multi-disciplinary nature of sensory-motor neuroscience through combined empirical-theoretical teaching modules and a focus on the use of databases of movement data (NSF CRCNS). Major breakthroughs in brain research have been achieved through computational models. The goal of the Summer School in Computational Sensory-Motor Neuroscience is to provide cross-disciplinary training in mathematical modelling techniques relevant to understanding brain function, dysfunction and treatment. In a unique approach bridging experimental research, clinical pathology and computer simulations, students will learn how to translate ideas and empirical findings into mathematical models. Students will gain a profound understanding of the brain''s working principles and diseases using advanced modelling techniques in hands-on simulations of models during tutored sessions by making use of data / model sharing. This summer school aims at propelling promising students into world-class researchers. Dates: August 5-19, 2012 Location: Northwestern University Chicago (Evanston campus), Illinois, USA Deadlines: * April 22, 2012: Application due, including letters of reference (extended!!!) * May 1, 2012: Notification of acceptance * May 20, 2012: Attendance confirmation of applicants and registration payment This summer school is directed at graduate students and post-doctoral fellows from multi-disciplinary backgrounds, including Life Sciences, Psychology, Computer Science, Mathematics and Engineering. We will also accept highly motivated outstanding under-graduate students. There are no formal prerequisites, but basic knowledge in calculus, linear algebra, neuroscience and the Matlab simulation environment is expected. Enrollment will be limited to 40 participants.
Collection of all available transcription factor (TF) specificities for the yeast Saccharomyces cerevisiae in Position Frequency Matrix (PFM) or Position Weight Matrix (PWM) formats. The specificities are evaluated for quality using several metrics. With this website, you can scan sequences with the motifs to find where potential binding sites lie, inspect precomputed genome-wide binding sites, find which TFs have similar motifs to one you have found, and download the collection of motifs. Submissions are welcome.
A database to provide information about the known and explored therapeutic protein and nucleic acid targets, the targeted disease, pathway information and the corresponding drugs/ligands directed at each of these targets. Also included in this database are links to relevant databases that contain information about the function, sequence, 3D structure, ligand binding properties, enzyme nomenclature and related literatures of each target.This database currently contains 1535 targets and 2107 drugs/ligands. Queries can be submitted by entering or selecting the required information in any one or combination of the five fields in the form. User can specify full name or any part of the name in a text field, or choose one item from an selection field.
Database that contains measures of gait from 93 patients with idiopathic PD (mean age: 66.3 years; 63% men), and 73 healthy controls (mean age: 66.3 years; 55% men). The database includes the vertical ground reaction force records of subjects as they walked at their usual, self-selected pace for approximately 2 minutes on level ground. Underneath each foot were 8 sensors (Ultraflex Computer Dyno Graphy, Infotronic Inc.) that measure force (in Newtons) as a function of time. The output of each of these 16 sensors has been digitized and recorded at 100 samples per second, and the records also include two signals that reflect the sum of the 8 sensor outputs for each foot. This database also includes demographic information, measures of disease severity (i.e., using the Hoehn & Yahr staging and/or the Unified Parkinson's Disease Rating Scale) and other related measures (available in HTML or xls spreadsheet format). A subset of the database includes measures recorded as subjects performed a second task (serial 7 subtractions) while walking, which shows excerpts of swing time series from a patient with PD and a control subject, under usual walking conditions and when performing serial 7 subtractions. Under usual walking conditions, variability is larger in the patient with PD (Coefficient of Variation = 2.7%), compared to the control subject (CV = 1.3%). Variability increases during dual tasking in the subject with PD (CV = 6.5%), but not in the control subject (CV = 1.2%).
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 16, 2019.<br/>A database that integrates not only RIKEN''''s original large-scale mammalian databases, such as FANTOM, the ENU mutagenesis program, the RIKEN Cerebellar Development Transcriptome Database and the Bioresource Database, but also imported data from public databases, such as Ensembl, MGI and biomedical ontologies. Our integrated database has been implemented on the infrastructure of publication medium for databases, termed SciNetS/SciNeS, or the Scientists'''' Networking System, where the data and metadata are structured as a semantic web and are downloadable in various standardized formats. The top-level ontology-based implementation of mammal-related data directly integrates the representative knowledge and individual data records in existing databases to ensure advanced cross-database searches and reduced unevenness of the data management operations. Through the development of this database, we propose a novel methodology for the development of standardized comprehensive management of heterogeneous data sets in multiple databases to improve the sustainability, accessibility, utility and publicity of the data of biomedical information.
A read mapping software program with adjustable sensitivity based on counting q-grams. RazerS 3 supports shared-memory parallelism, an additional seed-based filter with adjustable sensitivity, a much faster, banded version of the Myers? bit-vector algorithm for verification, memory saving measures and support for the SAM output format. This leads to a much improved performance for mapping reads, in particular long reads with many errors.
TerMine is a Term Management System which identifies key phrases in text. This freely available service may be used from your browser for lightweight uses, through a batch service for processing documents larger than 2MB, via a SOAP Service for integrating TerMine with your applications, or by using the TerMine Plugin for Prot��g�� to access TerMine from within Prot��g�� to help populate your OWL ontologies. Technical terms are important for knowledge mining, especially in the bio-medical area where vast amount of documents are available. The amount of terms (e.g., names of genes, proteins, chemical compounds, drugs, organisms, etc) is increasing at an astounding rate in the bio-medical literature. Existing terminological resources and scientific databases cannot keep up-to-date with the growth of neologisms. A domain independent method for term recognition is very useful to automatically recognize terms from documents. TerMine is the terminological management system with the C-Value term extraction and AcroMine acronym recognition integrated. As a freely available service from the academic domain, it is necessary to limit server load and give preference to individual users. Please contact us in advance if you plan to use the service for bulk processing. Excessive server load may result in IP addresses or institutions being blocked from using the TerMine service. There is a limit enforced on how many times unregistered users may use this service per day. Reference: Frantzi, K., Ananiadou, S. and Mima, H. (2000)Automatic recognition of multi-word terms. International Journal of Digital Libraries 3(2), pp.117-132.
Comprehensive listing of androgen receptor gene mutations published in journals and meetings proceedings. The majority of mutations are point mutations identified in patients with androgen insensitivity syndrome. Information is included regarding the phenotype, the nature and location of the mutations, as well as the effects of the mutations on the androgen binding activity of the receptor. In light of the difficulty in getting new AR mutations published the curator will now accept new mutations that have not been published, provided that it is from a reputable research or clinical laboratory. The database incorporates information on the exon 1 CAG repeat expansion disease, spinobulbar muscular atrophy (SBMA), as well as CAG repeat length variations associated with risk for female breast, uterine endometrial, colorectal, and prostate cancer, as well as for male infertility. The possible implications of somatic mutations, as opposed to germline mutations, in the development of future locus-specific mutation databases (LSDBs) is discussed. <BR/> The database now provides information on the external genitalia and on sex - of - rearing. Additionally, the new version of the database has an entry to show if pathogenicity has been proven. A pdf and fully searchable version of the Database is available for download.