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http://neuinfo.org

Framework for identifying, locating, relating, accessing, integrating, and analyzing information from neuroscience research. Users can search for and add neuroscience-related resources at NIF portal and receive and RRID to track and cite resources within scientific manuscripts.

Proper citation: Neuroscience Information Framework (RRID:SCR_002894) Copy   

•   Source: SciCrunch Registry
  

http://neurolex.org/wiki/Main_Page

A freely editable semantic wiki for community-based curation of the terms used in Neuroscience. Entries are curated and eventually incorporated into the formal NIFSTD ontology. NeuroLex also includes a Resource branch for community members to freely add neuroscience relevant resources that do not become part of NIFSTD ontology but rather make up the NIF Registry. As part of the NIF, we provide a simple search interface to many different sources of neuroscience information and data. To make this search more effective, we are constructing ontologies to help organize neuroscience concepts into category hierarchies, e.g., neuron is a cell. These categories provide the means to perform more effective searches and also to organize and understand the information that is returned. But an important adjunct to this activity is to clearly define all of the terms that we use to describe our data, e.g., anatomical terms, techniques, organism names. Because wikis provide an easy interface for communities to contribute their knowledge, we started the NeuroLex.

Proper citation: NeuroLex (RRID:SCR_005402) Copy   

•   Source: SciCrunch Registry
  

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

Software package that quantifies the similarity of cell populations across multiple flow cytometry samples using a nonparametric multivariate statistical test. The algorithm allows the users to specify a reference sample for comparison or to construct a reference sample from the available data. The output of the algorithm is a set of text files where the cell population labels are replaced by a metaset of population labels, generated from the matching process.

Proper citation: flowMap (RRID:SCR_002269) Copy   

•   Source: SciCrunch Registry
  

http://cakesomatic.sourceforge.net/

A bioinformatics software pipeline that integrates four publicly available somatic variant-calling algorithms to identify single nucleotide variants with higher sensitivity and accuracy than any one algorithm alone.

Proper citation: Cake (RRID:SCR_002133) Copy   

•   Source: SciCrunch Registry
  

http://sourceforge.net/projects/matchprot/

A pairwise protein structure alignment software.

Proper citation: Matchprot (RRID:SCR_002163) Copy   

•   Source: SciCrunch Registry
  

https://www.bioconductor.org/packages//2.13/bioc/html/shinyTANDEM.html

Software package that provides a GUI interface for rTANDEM, an R/Bioconductor package for MS/MS protein identification. The GUI is primarily designed to visualize rTANDEM result object or result xml files. But it will also provides an interface for creating parameter objects, launching searches or performing conversions between R objects and xml files.

Proper citation: shinyTANDEM (RRID:SCR_002169) Copy   

•   Source: SciCrunch Registry
  

http://pfs.nus.edu.sg/(S(dyrcwejlfws33vxe23zlvrf3))/CopyRightNotice.aspx?ReturnURL=%2fQueryInterface_V5_2.aspx

Search engine integrating various bio-informatic resources and algorithims to produce a one-stop resource for biologists to identify potentially functional SNPs. It caters to different groups of scientists interested in SNPs including those working in the following areas: * Whole-genome association studies * Gene-based association studies * Designing experiments to address the functionality of specific SNPs * Determining potentially functionally significant SNPs that are in LD with non-pfSNPs of interest. Users may add published SNP functions.

Proper citation: pfSNP (RRID:SCR_002167) Copy   

•   Source: SciCrunch Registry
  

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

Software for matching cell populations and building meta-clusters and templates from a collection of flow cytometry (FC) samples.

Proper citation: flowMatch (RRID:SCR_002283) Copy   

•   Source: SciCrunch Registry
  

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

Software that identifies cell populations in Flow Cytometry data using non-parametric clustering and segmented-regression-based change point detection.

Proper citation: flowMeans (RRID:SCR_002275) Copy   

•   Source: SciCrunch Registry
  

https://CRAN.R-project.org/package=rmeta

Package of software functions for simple fixed and random effects meta-analysis for two-sample comparisons and cumulative meta-analyses. Draws standard summary plots, funnel plots, and computes summaries and tests for association and heterogeneity.

Proper citation: rmeta (RRID:SCR_002270) Copy   

•   Source: SciCrunch Registry
  

http://clinicaltrials.gov/

Registry and results database of federally and privately supported clinical trials conducted in United States and around world. Provides information about purpose of trial, who may participate, locations, and phone numbers for more details. This information should be used in conjunction with advice from health care professionals.Offers information for locating federally and privately supported clinical trials for wide range of diseases and conditions. Research study in human volunteers to answer specific health questions. Interventional trials determine whether experimental treatments or new ways of using known therapies are safe and effective under controlled environments. Observational trials address health issues in large groups of people or populations in natural settings. ClinicalTrials.gov contains trials sponsored by National Institutes of Health, other federal agencies, and private industry. Studies listed in database are conducted in all 50 States and in 178 countries.

Proper citation: ClinicalTrials.gov (RRID:SCR_002309) Copy   

•   Source: SciCrunch Registry
  

http://cran.r-project.org/web/packages/RankAggreg/

Software package that performs aggregation of ordered lists based on the ranks using several different algorithms: Borda count, Cross-Entropy Monte Carlo algorithm, Genetic algorithm, and a brute force algorithm.

Proper citation: RankAggreg (RRID:SCR_002225) Copy   

•   Source: SciCrunch Registry
  

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

Software for merging of mixture components for model-based automated gating of flow cytometry data using the flowClust framework.

Proper citation: flowMerge (RRID:SCR_002224) Copy   

•   Source: SciCrunch Registry
  

https://bioconductor.org/packages/2.11/bioc/html/flowPhyto.html

An R package that performs aggregate statistics on virtually unlimited collections of raw flow cytometry files and provides a memory efficient, parallelized solution for analyzing high-throughput flow cytometric data.

Proper citation: flowPhyto (RRID:SCR_002183) Copy   

•   Source: SciCrunch Registry
  

http://provean.jcvi.org/

A software tool which predicts whether an amino acid substitution or indel has an impact on the biological function of a protein.

Proper citation: PROVEAN (RRID:SCR_002182) Copy   

•   Source: SciCrunch Registry
  

http://www.yandell-lab.org/software/vaast.html

A probabilistic search tool for identifying damaged genes and their disease-causing variants in personal genome sequences. VAAST combines elements of phylogenetic conservation, amino acid substitution, and aggregative approaches to variant prioritization into a single unified likelihood-framework that allows users to accurately identify damaged genes and deleterious variants. The software can score both coding (SNV, indel and splice site) and non-coding variants (SNV), evaluating the cumulative impact of both types of variants simultaneously. It can identify rare variants causing rare genetic diseases and can also use both rare and common variants to identify genes responsible for common diseases.

Proper citation: VAAST (RRID:SCR_002179) Copy   

•   Source: SciCrunch Registry
  

http://cistrome.org/pc/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. A knowledgebase of all of the publicly available ChIP-Seq and DNase-Seq data in mouse and human. They have also manually curated metadata to ensure annotation consistency, and developed a user-friendly display matrix for quick navigation and retrieval of data for specific factors, cells, and papers. The community can contribute to this resource.

Proper citation: CistromeMap (RRID:SCR_002173) Copy   

•   Source: SciCrunch Registry
  

http://genome.jgi.doe.gov/

Portal providing access to all JGI genomic databases and analytical tools, sequencing projects and their status, search for and download assemblies and annotations of sequenced genomes, and interactively explore those genomes and compare them with other sequenced microbes, fungi, plants or metagenomes using specialized systems tailored to each particular class of organisms. The Department of Energy (DOE) Joint Genome Institute (JGI) is a national user facility with massive-scale DNA sequencing and analysis capabilities dedicated to advancing genomics for bioenergy and environmental applications. Beyond generating tens of trillions of DNA bases annually, the Institute develops and maintains data management systems and specialized analytical capabilities to manage and interpret complex genomic data sets, and to enable an expanding community of users around the world to analyze these data in different contexts over the web.

Proper citation: JGI Genome Portal (RRID:SCR_002383) Copy   

•   Source: SciCrunch Registry
  

http://www.bioconductor.org/packages/devel/bioc/html/BEAT.html

Software that implements all bioinformatics steps required for the quantitative, high-resolution analysis of DNA methylation patterns from bisulfite sequencing data.

Proper citation: BEAT (RRID:SCR_002387) Copy   

•   Source: SciCrunch Registry
  

https://github.com/mpyatkov/sbars

Bioinformatics tool for searching different types of long repeats in sequences comparable by size with chromosomes.

Proper citation: SBARS (RRID:SCR_002371) Copy   

•   Source: SciCrunch Registry