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http://www.gene-regulation.com/pub/programs.html

In an effort to strongly support the collaborative nature of scientific research, BIOBASE offers access to their tools. Programs that are available through this portal are: * AliBaba 2.1: AliBaba2 is a program for predicting binding sites of transcription factor binding sites in an unknown DNA sequence. Therefore it uses the binding sites collected in TRANSFAC. AliBaba2 is currently the most specific tool for predicting sites. * Boxshade 3.3.1: Pretty Printing and Shading of Multiple-Alignment files. * ClustalW 1.8: ClustalW Multiple Sequence Alignment Program. * Dialign2.0: Multiple Sequence Alignment Program. * F-Match 1.0: F-MATCH is a program for identifying statistically overrepresented Transcription Factor Binding Sites (TFBS) in a set of sequences compared against a control set, assuming a binomial distribution of TFBS frequency. The program reads MATCH output files for the query and control sets. F-Match uses a library of mononucleotide weight matrices from TRANSFAC 6.0 * Match 1.0 Public: Match is designed for searching potential binding sites for transcription factors (TF binding sites) nucleotide sequences. MatchTM uses a library of mononucleotide weight matrices from TRANSFAC 6.0 * molwSearch 1.0: Search for transcription factors with a certain molecular weight. * P-Match 1.0: P-Match is a new tool for identifying transcription factor binding sites (TF binding sites) in DNA sequences. It combines pattern matching and weight matrix approaches thus providing higher accuracy of recognition than each of the methods alone. P-Match uses a library of mononucleotide weight matrices from TRANSFAC 6.0 along with the site alignments associated with these matrices. * Patch 1.0: Search for potential transcription factor binding sites in your own sequences with the pattern search program using TRANSFAC 6.0 public sites. * m2transfac 1.0: m2transfac is a PWM-PWM alignment interface for the TRANSFAC(R) database. For given user motifs, m2transfac reports all non-overlapping pairwise alignments to a TRANSFAC(R) matrix which satisfy a specified threshold. * MatrixCatch 2.7: The MatrixCatch tool is designed for searching potential composite elements (CEs) for transcription factors (TFs) in any DNA sequence, which may be of interest. MatrixCatch uses a library of CE matrix models, which were compiled on a basis of experimentally identified CEs collected in TRANSCOMPEL database and mononucleotide weight matrices for single TF-binding sites collected in TRANSFAC 6.0 public database. * Composite Module Analyst (CMA) 1.0: CMA reads output of Match program and applies a genetic algorithm in order to define promoter models based on the composition of transcription factor binding sites and their pairs. * PolyA Scan 0.000707: Scanning a Sequence for potential Polyadenylation Sites. * ReadSeq 2.0: ReadSeq reads and writes nucleic/protein sequences in various formats. * SignalScan: Analysis of DNA Sequences for known Eukaryotic Signals * SbBlast 1.0: Search Tool for Sequence Search in the S/MARt Binder Database. SbBlast makes use of the BLAST Sequence Similarity Search Tool - Version 2.0.13 (May-26-2000). * SnpFind 0.3: SNPFIND is a tool for searches in the Database of Single Nucleotide Polymorphisms. The search algorithm used for the database search is the BLAST algorithm. * TfBlast 0.1: Search Tool for Sequence Search in the TRANSFAC Factor Table. SbBlast makes use of the BLAST Sequence Similarity Search Tool - Version 2.0.13 (May-26-2000).

Proper citation: Gene Regulation Programs (RRID:SCR_007787) Copy   

•   Source: SciCrunch Registry

https://www.schulich.uwo.ca/physpharm/

Research-based medical science department of physiology and pharmacology in the Schulich School of Medicine and Dentistry at the University of Western Ontario that focus on biological processes from the cellular-molecular level to the integrative-systemic level, and on the effects of drugs and environmental agents on these processes. Their areas of research excellence include the physiology and pharmacology of the cardiovascular, neural, reproductive, endocrine and musculoskeletal systems. Several faculty work in the area of developmental biology related to these organ systems. Faculty members in this Department are leaders in nationally-funded collaborative research programs studying skeletal / bone development and biology, heart and vascular biology, cell communication and gap junctions, neural control of vision and movement, and osteoarthritis and pain. Funding from several large infrastructure grants from both national and provincial governments has facilitated the development of state-of-the-art research laboratories and core facilities.

Proper citation: University of Western Ontario London Ontario Canada Physiology and Pharmacology (RRID:SCR_007541) Copy   

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http://genotan.sourceforge.net/

A free software tool to identify length variation of microsatellites from short sequence reads.

Proper citation: GenoTan (RRID:SCR_007935) Copy   

•   Source: SciCrunch Registry

http://www.med.upenn.edu/nscience/

The Department of Neuroscience is located in the School of Medicine at the University of Pennsylvania. Founded in 1992 to recognize the growing importance of neuroscience as a scientific discipline, the Department laboratories pursue a wide variety of research interests reflecting the entire range of modern neuroscience. The Department lies at the heart of the campus-wide Mahoney Institute of Neurological Sciences, the first research organization to receive NIH funding for training in the neurosciences.

Proper citation: University of Pennsylvania Medical Center Neuroscience (RRID:SCR_007978) Copy   

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http://enhancer.lbl.gov/

Resource for experimentally validated human and mouse noncoding fragments with gene enhancer activity as assessed in transgenic mice. Most of these noncoding elements were selected for testing based on their extreme conservation in other vertebrates or epigenomic evidence (ChIP-Seq) of putative enhancer marks. Central public database of experimentally validated human and mouse noncoding fragments with gene enhancer activity as assessed in transgenic mice. Users can retrieve elements near single genes of interest, search for enhancers that target reporter gene expression to particular tissue, or download entire collections of enhancers with defined tissue specificity or conservation depth.

Proper citation: VISTA Enhancer Browser (RRID:SCR_007973) Copy   

•   Source: SciCrunch Registry

http://cor.physiol.ox.ac.uk/

Cellular Open Resource is a Microsoft Windows environment for cellular modeling that is built around CellML (except for reactions and metadata which are not supported). It offers, through CellML, an ''out of the box'' access to a large database of single cell models. COR was among the early adopters of this standard, eventually forming the first publicly available CellML-based modeling and collaboration environment. From the onset, COR was designed to provide an environment that could not only be used by experienced modelers, but also by experimentalists, teachers and students. It therefore tries to combine a user-friendly interface with a computationally efficient numerical engine. In this paper, we introduce the philosophy behind COR, explain its user interface and current functionality, including the editing and running of CellML files, highlight lessons learned from user feedback and problems experienced during the development of COR and conclude by exploring future development potential. Sponsors: This study has been supported by a grant from the UK Biotechnology and Biological Sciences Research Council (BB/E024955/1). Keyword: Cell, Model, Cellular, Modeling, Open resource, Microsoft, Environment, Database, Experimentalist, Teacher, Student, Modeler, Computationally, Development,

Proper citation: Cellular Open Resource (RRID:SCR_008022) Copy   

•   Source: SciCrunch Registry

http://smithlab.usc.edu/histone/rseg/

Software package aimed to analyze ChIP-Seq data, especially for identifying genomic regions and their boundaries marked by diffusive histone modification markers, such as H3K36me3 and H3K27me3.

Proper citation: RSEG (RRID:SCR_007695) Copy   

•   Source: SciCrunch Registry

http://www.PDtrials.org

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. A collaborative initiative of Parkinson's organizations dedicated to increasing education and awareness about clinical research. PDtrials provides up-to-date information on Parkinson's disease trials currently enrolling participants in the U.S. and Canada, as well as information about Parkinson's studies for people living with PD, their families and caregivers. Researchers can list their own trials on the PDtrials website. Patients can browse trial listings by type, location, symptom, or keyword.

Proper citation: PDtrials- Parkinsons Disease Clinical Trials (RRID:SCR_002027) Copy   

•   Source: SciCrunch Registry

http://videolectures.net/

Award-winning free and open access educational video lectures repository. The lectures are given by distinguished scholars and scientists at the most important and prominent events like conferences, summer schools, workshops and science promotional events from many fields of Science. The portal is aimed at promoting science, exchanging ideas and fostering knowledge sharing by providing high quality didactic contents not only to the scientific community but also to the general public. All lectures, accompanying documents, information and links are systematically selected and classified through the editorial process taking into account also users' comments.

Proper citation: VideoLectures.NET (RRID:SCR_001972) Copy   

•   Source: SciCrunch Registry

http://sharcgs.molgen.mpg.de/

Software package for a DNA assembly program designed for de novo assembly of 25-40mer input fragments and deep sequence coverage.

Proper citation: SHARCGS (RRID:SCR_002026) Copy   

•   Source: SciCrunch Registry

https://med.psu.edu/

Public, land-grant research university in Pennsylvania, USA. The College of Medicine offers professional degree programs in medicine.

Proper citation: Pennsylvania State Hershey College of Medicine; Pennsylvania; USA (RRID:SCR_002019) Copy   

•   Source: SciCrunch Registry

http://snpper.chip.org/

Retrieve known single-nucleotide polymorphisms (SNPs) by position or by association with a gene; save, filter, analyze, display or export SNP sets; explore known genes using names or chromosome positions.

Proper citation: SNPper (RRID:SCR_001963) Copy   

•   Source: SciCrunch Registry

http://www.ptsd.va.gov

We are the center of excellence for research and education on the prevention, understanding, and treatment of PTSD. Our Center has seven divisions across the country. Although we provide no direct clinical care, our purpose is to improve the well-being and understanding of American Veterans. We conduct cutting edge research and apply resultant findings to: Advance the Science and Promote Understanding of Traumatic Stress. The National Center has emerged as the world's leading research and educational center of excellence on PTSD. Its vision is to be the foremost leader in information on PTSD and trauma; information generated internally through its extensive research program, and information synthesized from published scientific research and collective clinical experience that is efficiently disseminated to the field. The Center is organized to facilitate rapid translation of science into practice, assuring that the latest research findings inform clinical care; and translation of practice into science, assuring that questions raised by clinical challenges are addressed using rigorous experimental protocols. By drawing on the specific expertise vested at each separate division (e.g., behavioral, neuroscientific, etc.), the National Center provides a unique infrastructure within which to implement multidisciplinary initiatives regarding the etiology, pathophysiology, diagnosis and treatment of PTSD.

Proper citation: National Center for PTSD (RRID:SCR_001967) Copy   

•   Source: SciCrunch Registry

http://www.sfn.org/siteobjects/published/0000BDF20016F63800FD712C30FA42DD/B7DCEFADE2FDB93B95188E3FD01E2FF0/file/Neurofed%202009c.pdf

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. The NeuroFed resource is a listing of neuroscience research funding contacts in the Federal government. It is an informal compendium (PDF) of names and contact information for nearly 300 research grant and scientific review administrators in 21 organizational units of the federal government. An electronic (PDF) version of the most recent update of this list is available on the Society for Neuroscience website at: http://www.sfn.org/index.aspx?pagename=professionalDevelopment_training. The list is updated annually by NIH personnel.

Proper citation: Neurofed (RRID:SCR_002011) Copy   

•   Source: SciCrunch Registry

http://www.parkinson.ca

A not-for-profit, volunteer based charity whose purpose is to find a cure for Parkinson's disease through research, advocacy, education and support services. Parkinson Society Canadas leads initiatives that include: raising funds for research through national events; funding research, movement disorder clinics, and outreach programs across Canada; staffing a national Information and Referral Centre; developing educational and information materials; providing up to date detailed information about Parkinson's disease; and providing support for regional partners to better meet the needs of people living with Parkinson's services. Researchers can apply for various funding awards and fellowships by following the funding process outlined by Parkinson Society Canada.

Proper citation: Parkinson Society Canada (RRID:SCR_002014) Copy   

•   Source: SciCrunch Registry

https://i4sa.com/wp-content/uploads/2021/01/1025ManualRevJ.pdf

Magnetic resonance compatible monitoring and gating system, including software, that enables monitoring rectal temperature, electrocardiogram and respiration rate during magnetic resonance imaging scan time. The PC displays multiple waveforms, measured values, trends and gating pulses. The data Acquisition modules are controlled by menu driven software from the PC. Data acquisition modules are available to measure the following parameters: ECG, respiration (three ways), temperature (two ways), pressure including invasive blood pressure (two ways), oxygen saturation and end-tidal CO2.

Proper citation: SA Instruments: Model 1025 MR-compatible Small Animal Monitoring and Gating System (RRID:SCR_002090) Copy   

•   Source: SciCrunch Registry

http://neuron.duke.edu/cells/download.html

Online platform for visualizing and editing the morphology of neurons. Written in Java.

Proper citation: Cvapp (RRID:SCR_002095) Copy   

•   Source: SciCrunch Registry

http://www.nih.go.kr/NIH/eng/main.jsp

Institute dedicated to medical research to improve biomedical innovation and public health in South Korea.

Proper citation: Korea National Institute of Health (RRID:SCR_001959) Copy   

•   Source: SciCrunch Registry

http://brainarray.mbni.med.umich.edu/Brainarray/Database/SearchSNP/snpfunc.aspx

Database for exploring the function implication of single nucleotide polymorphism (SNP) alleles. It is designed to be a clearing house for all public domain SNP functional annotation data, as well as in-house functional annotations derived from different data sources. It currently contains SNP functional annotations in six major categories including genomic elements, transcription regulation, protein function, pathway, disease and population genetics. Besides extensive SNP functional annotations, it includes a search engine that accepts different types of genetic markers as input and identifies all genetically related SNPs based on the HapMap Phase II data as well as the relationship of different markers to known genes. As a result, the system allows users to identify the potential biological impact of genetic markers and complex relationships among genetic markers and genes, and it greatly facilitates knowledge discovery in genome-wide SNP scanning experiments.

Proper citation: SNP Function Portal (RRID:SCR_001954) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowType.html

Software for phenotyping Flow Cytometry assays using multidimentional expansion of single dimentional partitions.

Proper citation: flowType (RRID:SCR_001957) Copy   

•   Source: SciCrunch Registry