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http://sourceforge.net/projects/chipmeta/

Software using a Hierarchical hidden Markov model for jointly analyzing ChIP-chip and ChIP-seq datasets.

Proper citation: ChIPmeta (RRID:SCR_000054) Copy   

•   Source: SciCrunch Registry

https://www.infoquant.com/oneclickcgh

Platform-independent array copy number analysis software that provides straightforward yet comprehensive detection and reporting of copy number changes.

Proper citation: oneClickCGH (RRID:SCR_000294) Copy   

•   Source: SciCrunch Registry

http://knightadrc.wustl.edu/

The Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC) supports researchers and our surrounding community in their pursuit of answers that will lead to improved diagnosis and care for persons with Alzheimer disease (AD). The Center is committed to the long-term goal of finding a way to effectively treat and prevent AD. The Knight ADRC facilitates advanced research on the clinical, genetic, neuropathological, neuroanatomical, biomedical, psychosocial, and neuropsychological aspects of Alzheimer disease, as well as other related brain disorders.

Proper citation: Washington University School of Medicine Knight Alzheimers Disease Research Center (RRID:SCR_000210) Copy   

•   Source: SciCrunch Registry

http://fiduswriter.org/

An online collaborative editor for academics that use citations and/or formulas. The editor focuses on the content rather than the layout, so that with the same text, it can be published in multiple ways: On a website, as a printed book, or as an ebook.

Proper citation: Fiduswriter (RRID:SCR_000204) Copy   

•   Source: SciCrunch Registry

http://www.wavemetrics.com/products/igorpro/igorpro.htm

Software used for visualizing and graphing data, image processing, and programming. It is designed for use by scientists and engineers and supports large data sets, evenly spaced data, and various data import formats. The software includes a suite of image processing operations for image filtering, manipulation, and quantification and is completely programmable.

Proper citation: IGOR Pro (RRID:SCR_000325) Copy   

•   Source: SciCrunch Registry

https://resource.loni.usc.edu/resources/atlases/

Probabilistic reference system for human brain, including tools to establish this reference system for structural and functional anatomy on both macroscopic (in vivo) and microscopic (post mortem) levels. Project has expanded neuroinformatics tools for data sharing and created Conforming Site System that allows laboratories worldwide to contribute data to evolving atlas. Through implementation of ICBM data sharing policy space, they are fostering data exchange while still providing for scientific credit assignment and subject confidentiality.ICBM atlas collection consists of ICBM Template, tool developed to provide reference that includes both set of coordinates and associated anatomical labels; the ICBM 452 T1 atlas, average of T1-weighted MRIs of normal young adult brains, ICBM probabilistic atlases, and Cytoarchitectonic Atlas. ICBM Subject Database is web-based database infrastructure that simplifies image dataset collection, organization and dissemination. Authorized users may view representations of data and form collections of datasets that can be downloaded or fed directly into Pipeline environment for distributed processing and analysis.

Proper citation: International Consortium for Brain Mapping (RRID:SCR_000445) Copy   

•   Source: SciCrunch Registry

http://www.talairach.org/

Software automated coordinate based system to retrieve brain labels from the 1988 Talairach Atlas. Talairach Daemon database contains anatomical names for brain areas using x-y-z coordinates defined by the 1988 Talairach Atlas.

Proper citation: Talairach Daemon (RRID:SCR_000448) Copy   

•   Source: SciCrunch Registry

http://highwire.stanford.edu/

A division of the Stanford University Libraries, which produces the online versions of journals and other scholarly content.

Proper citation: HighWire Press (RRID:SCR_000761) Copy   

•   Source: SciCrunch Registry

http://harvard.eagle-i.net/i/0000012e-58c7-d44f-55da-381e80000000

Core to provide gene expression data analysis service. Activities range from the provision of services to fully collaborative grant funded investigations.

Proper citation: Harvard Partners HealthCare Center for Personalized Genetic Medicine Bioinformatics Core Facility (RRID:SCR_000882) Copy   

•   Source: SciCrunch Registry

http://w3.cns.org/university/webinar/index2.asp

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6,2023. A series of of webinars offered directly to users' computers. The webinars are offered in a variety of subjects, including neurotrauma, spine, tumor and vascular. Each webinars costs $35 US and offers CME credit.

Proper citation: University of Neurosurgery Webinar Series (RRID:SCR_000639) Copy   

•   Source: SciCrunch Registry

http://www.icpsr.umich.edu/icpsrweb/NAHDAP/

Archive that acquires, preserves and disseminates data relevant to drug addiction and HIV research. Collection of data on drug addiction and HIV infection in United States. Most of datasets are raw data from surveys, interviews, and administrative records. They were originally gathered in research projects and for administrative purposes. Some datasets have been used in published studies. Bibliographies of these studies are available . Provides access to research data and technical assistance for data depositors. Provides e-workshops on data preparation and data systems.

Proper citation: National Addiction and HIV Data Archive Program (NAHDAP) (RRID:SCR_000636) Copy   

•   Source: SciCrunch Registry

http://trace.ddbj.nig.ac.jp/dor/index_e.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6,2023. Archival database of functional genomics data generated by microarray and highly parallel new generation sequencers. Data are exchanged between ArrayExpress at EBI and DOR in common MAGE-TAB format. Supports MIAME and MINSEQE-compliant data submissions. DOR issues accession numbers, E-DORD-n to experiment and A-DORD-n to array design. DOR exchanges public data with the EBI ArrayExpress in common MAGE-TAB format. Note: At present, DOR does not accept submissions. DDBJ will announce launch of DOR when it is ready. (2013/01/31) The data can be kept private until your paper is published. You can set the hold date for a maximum of 1 year and can change it. Registered records are released according to the Data Release Policy.

Proper citation: DDBJ Omics Archive (RRID:SCR_000597) Copy   

•   Source: SciCrunch Registry

http://athina.biol.uoa.gr/CAST/

A novel algorithm for low-complexity region detection and selective masking. The algorithm is based on multiple-pass Smith-Waterman comparison of the query sequence against twenty homopolymers with infinite gap penalties. The output of the algorithm is both the masked query sequence for further analysis, e.g. database searches, as well as the regions of low complexity.

Proper citation: CAST (RRID:SCR_000628) Copy   

•   Source: SciCrunch Registry

http://www.atgc-montpellier.fr/mpscan/

Web tool for index free mapping of multiple short reads on a genome.

Proper citation: MPscan (RRID:SCR_000587) Copy   

•   Source: SciCrunch Registry

http://fcp-indi.github.io

A configurable, open-source, Nipype-based, automated processing pipeline for resting state functional MRI (R-fMRI) data, for use by both novice and expert users. C-PAC was designed to bring the power, flexibility and elegance of the Nipype platform to users in a plug and play fashion?without requiring the ability to program. Using an easy to read, text-editable configuration file, C-PAC can rapidly orchestrate automated R-fMRI processing procedures, including: - quality assurance measurements - image preprocessing based upon user specified preferences - generation of functional connectivity maps (e.g., correlation analyses) - customizable extraction of time-series data - generation of local R-fMRI metrics (e.g., regional homogeneity, voxel-matched homotopic connectivity, fALFF/ALFF) C-PAC makes it possible to use a single configuration file to launch a factorial number of pipelines differing with respect to specific processing steps.

Proper citation: C-PAC (RRID:SCR_000862) Copy   

•   Source: SciCrunch Registry

http://genboree.org

A software application and database viewing system for genomic research, more specifically formulti-genome comparison and pattern discovery via genome self-comparison. Data are available for a range of species including Human Chr3, Human Chr12, Sea Urchin, Tribolium, and cow. The Genboree Discovery System is the largest software system developed at the bioinformatics laboratory at Baylor in close collaboration with the Human Genome Sequencing Center. Genboree is a turnkey software system for genomic research. Genboree is hosted on the Internet and, as of early 2007, the number of registered users exceeds 600. While it can be configured to support almost any genome-centric discovery process, a number of configurations already exist for specific applications. Current focus is on enabling studies of genome variation, including array CGH studies, PCR-based resequencing, genome resequencing using comparative sequence assembly, genome remapping using paired-end tags and sequences, genome analysis and annotation, multi-genome comparison and pattern discovery via genome self-comparison. Genboree database and visualization settings, tools, and user roles are configurable to fit the needs of specific discovery processes. Private permanent project-specific databases can be accessed in a controlled way by collaborators via the Internet. Project-specific data is integrated with relevant data from public sources such as genome browsers and genomic databases. Data processing tools are integrated using a plug-in model. Genboree is extensible via flexible data-exchange formats to accommodate project specific tools and processing steps. Our Positional Hashing method, implemented in the Pash program, enables extremely fast and accurate sequence comparison and pattern discovery by employing low-level parallelism. Pash enables fast and sensitive detection of orthologous regions across mammalian genomes, and fast anchoring of hundreds of millions of short sequences produced by next-generation sequencing technologies. We are further developing the Pash program and employing it in the context of various discovery pipelines. Our laboratory participates in the pilot stage of the TCGA (The Cancer Genome Atlas) project. We aim to develop comprehensive, rapid, and economical methods for detecting recurrent chromosomal aberrations in cancer using next-generation sequencing technologies. The methods will allow detection of recurrent chromosomal aberrations in hundreds of small (

Proper citation: Genboree Discovery System (RRID:SCR_000747) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.13/bioc/html/bsseq.html

R package with tools for analyzing and visualizing bisulfite sequencing data.

Proper citation: bsseq (RRID:SCR_001072) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software R package written for analysis of murine palate miRNA two-color expression data.

Proper citation: MmPalateMiRNA (RRID:SCR_001070) Copy   

•   Source: SciCrunch Registry

http://www.medscape.org/medscapetoday

A portal with listings of continuing medical education opportunities such as radiology, pediatrics, and HIV/AIDS specializations.

Proper citation: Medscape Education - Medscape CME/CE (RRID:SCR_000936) Copy   

•   Source: SciCrunch Registry

http://www.drugs.com

The Drugs.com mission is to be the Internets most trusted resource for drug and related health information. We will achieve this aim by presenting independent, objective, comprehensive and up-to-date information in a clear and concise format for both consumers and healthcare professionals. Their goal is to provide clear information about drugs sold in the USA, at a level everyone can comprehend. For consumers, we provide product information in non-technical language. Health professionals will find what they need in the FDA Product Label Professional Information database. The Care Guide provides information about the treatment of common illnesses and injuries. The Drug Interactions checker details drug-drug interaction mechanisms, severity and management, and also outlines drug-food interactions. Drugs.com is NOT an online pharmacy and does not condone the sale of prescription medicines over the Internet without a prescription. Drugs.com simply provides a free drug-information service to help you better understand how medicines work: their uses, side effects and potential to interact with other medicines. For information on purchasing prescription medicines online please visit the FDAs Buying Prescription Medicine Online: A Consumer Safety Guide. Drugs.com medical dictionary is powered by Stedmans. Since 1911, Stedmans Medical Dictionary has been the medical professions most trusted source for medical definitions. A complete medical terms dictionary, Steadmans Electronic Medical Dictionary contains over 107,000 medical terms taken directly from Stedmans Medical Dictionary, 28th Edition. Most search engines cover the entire Internet, and searches on these engines may produce many results that are not specific to your drug question. On Drugs.com, you can search by medical condition or by drug, and get the answer you need right away. Searches by drug can be made using the brand name or the generic name of the drug. Searches by medical condition will return a list of medications used to treat that condition. Sponsors: The Drugs.com drug information service is supported by donations and revenue from site advertisers. The Drugs.com staff endeavor to source ads that are medically or community-service oriented. All ads must be appropriate for all-age family viewing, and we screen banner ads for family-appropriate content before the ads go live.

Proper citation: Drugs.com (RRID:SCR_000656) Copy   

•   Source: SciCrunch Registry