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http://yost.genetics.utah.edu/software.php

A software analysis pipeline for mapping mutations using RNA-seq that works without parental strain information, without the requirement of a pre-existing snp map of the organism, and without erroneous assumptions that recombination occurs at the same frequency across the genome. In addition, it compensates for the considerable amount of noise in RNA-seq datasets and simultaneously identifies the region where the mutation lies and generates a list of putative coding region mutations in the linked genomic segment. MMAPPR can utilize RNA-seq datasets from isolated tissues or whole organisms that are often generated for phenotypic analysis and gene network analysis in novel mutants.

Proper citation: MMAPPR (RRID:SCR_005092) Copy   

•   Source: SciCrunch Registry

http://www.genmapp.org/

GenMAPP is a free computer application designed to visualize gene expression and other genomic data on maps representing biological pathways and groupings of genes. Integrated with GenMAPP are programs to perform a global analysis of gene expression or genomic data in the context of hundreds of pathway MAPPs and thousands of Gene Ontology Terms (MAPPFinder), import lists of genes/proteins to build new MAPPs (MAPPBuilder), and export archives of MAPPs and expression/genomic data to the web. The main features underlying GenMAPP are: *Draw pathways with easy to use graphics tools *Color genes on MAPP files based on user-imported genomic data *Query data against MAPPs and the GeneOntology Enhanced features include the simultaneous view of multiple color sets, expanded species-specific gene databases and custom database options.

Proper citation: Gene Map Annotator and Pathway Profiler (RRID:SCR_005094) Copy   

•   Source: SciCrunch Registry

http://www.murdock-trust.org/

The M. J. Murdock Charitable Trust seeks to enrich the quality of life in the Pacific Northwest by providing grants and enrichment programs to non-profit organizations that seek to strengthen the region''s educational, spiritual, and cultural base in creative and sustainable ways. In addition to a special interest in education and scientific research, the Trust partners with a wide variety of organizations that serve the arts, public affairs, health and medicine, human services, leadership development, and persons with disabilities. Eligibility for scientific research grants is limited. Select public research universities and medical institutes located within the five-state region (Pacific Northwest: Alaska, Washington, Oregon, Idaho, Montana) are typically considered for funding. The Trust prefers requests for projects in the natural sciences where the main objective is the acquisition of new knowledge. However, requests for research in engineering and medicine are also eligible. Training students in conducting research is an important consideration.

Proper citation: MJ Murdock Charitable Trust (RRID:SCR_005122) Copy   

•   Source: SciCrunch Registry

http://www.dcc.ac.uk/

The Digital Curation Centre (DCC) is a world-leading centre of expertise in digital information curation with a focus on building capacity, capability and skills for research data management across the UK''s higher education research community. The Digital Curation Centre provides expert advice and practical help to anyone in UK higher education and research wanting to store, manage, protect and share digital research data. The DCC provides access to a range of resources including our popular How-to Guides, case studies and online services. Our training programmes aim to equip researchers and data custodians with the skills they need to manage and share date effectively. We also provide consultancy and support with issues such as policy development and data management planning.

Proper citation: Digital Curation Centre (RRID:SCR_005087) Copy   

•   Source: SciCrunch Registry

http://www.omicsoft.com/fusionmap/

An efficient fusion aligner which aligns reads spanning fusion junctions directly to the genome without prior knowledge of potential fusion regions. It detects and characterizes fusion junctions at base-pair resolution. FusionMap can be applied to detect fusion junctions in both single- and paired-end dataset from either gDNA-Seq or RNA-Seq studies. FusionMap runs under both Windows and Linux (requiring MONO) environments. Although it can run on 32 bit machine, it is recommended to run on 64-bit machine with 8GB RAM or more. If you have an ArrayStudio License, you can run the fusion detection easily through its GUI.

Proper citation: FusionMap (RRID:SCR_005242) Copy   

•   Source: SciCrunch Registry

http://www.cs.helsinki.fi/en/gsa/traph/

A software tool for transcript identification and quantification with RNA-Seq. The method has a two-fold advantage: on the one hand, it translates the problem as an established one in the field of network flows, which can be solved in polynomial time, with different existing solvers; on the other hand, it is general enough to encompass many of the previous proposals under the least sum of squares model.

Proper citation: Traph (RRID:SCR_005119) Copy   

•   Source: SciCrunch Registry

http://www.raetschlab.org/suppl/rquant

Software for quantitative detection of alternative transcripts with RNA-Seq data. The method, based on quadratic programming, estimates biases introduced by experimental settings and is thus a powerful tool to reveal and quantify novel (alternative) transcripts.

Proper citation: rQuant (RRID:SCR_005150) Copy   

•   Source: SciCrunch Registry

http://www.rls.org/

Non-profit organization providing the latest information about Restless Legs Syndrome (RLS). Its goals are to increase awareness, improve treatments, and through research, find a cure for RLS, a condition which severely affects the lives of millions of individuals. By educating healthcare providers about RLS symptoms, diagnosis, and treatment, the RLS Foundation helps patients receive the quality care they both need and deserve. In recent years the Foundation has provided information to healthcare providers at many exhibit meetings, including the American Academy of Neurology, the American College of Obstetricians and Gynecologists, and the American Academy of Nurse Practitioners. The Foundation continually strives to be the most reputable source of information on RLS. Their renowned Medical Advisory Board, composed of leading RLS experts from all over the world, has written several publications on the diagnosis and treatment of RLS. These include our comprehensive RLS Medical Bulletin, their patient brochure, and their brochures on special topics including concerns for surgery, depression, pregnancy, and children. The Foundation has taken giant strides to further RLS research, funding grants for 27 research projects. Among the most distinguished research projects the Foundation has put its resources behind is the ongoing Stanford Epidemiology Project. Although it is still underway, the Foundation recognizes that the highly anticipated results of the Stanford Epidemiology Project, including the creation of a world standard questionnaire used to accurately diagnose RLS, could be spectacular. Eventually this questionnaire may help researchers understand the health consequences of RLS and identify other conditions and diseases that are associated with or exacerbated by RLS. In addition, the RLS Foundation helped fund a study led by Dr. David Rye and deCODE Genetics in Iceland which recently announced the discovery of a gene for RLS.

Proper citation: RLS Foundation (RRID:SCR_005144) Copy   

•   Source: SciCrunch Registry

https://knightadrc.wustl.edu/center-events/

Videos of Knight ADRC related events for educational and informational purposes. A link to additional Center produced media is provided to access the Knight ADRC YouTube Channel. Videos are in HTML5 mp4 format and are available in 1080p or 4K resolution.

Proper citation: WU Knight ADRC Multimedia Presentations (RRID:SCR_005147) Copy   

•   Source: SciCrunch Registry

http://science.kqed.org/quest/

An award-winning multimedia science and environment series created by KQED, San Francisco, the public media station serving Northern California. Launched in February 2007, by the end of its fourth season (in September 2010), QUEST had reached approximately 36 million viewers and listeners through its traditional TV and radio broadcasts and its growing Web audience. QUEST''s ultimate aim is to raise science literacy in the San Francisco Bay Area and beyond, inspiring audiences to discover and explore science and environment issues for themselves. Every season, KQED''s QUEST produces: * half-hour television episodes episodes that air weekly, exploring the cutting-edge work of Northern California scientists and researchers (QUEST airs Wednesdays 7:30pm on KQED Public Television 9); * weekly radio reports covering urban environmental issues which often include multimedia slide shows, and interactive online maps (QUEST airs Mondays 6:30am and 8:30am on KQED Public Radio 88.5 FM); * Educational resources, for use by formal and informal educators; QUEST also provides professional development for science educators to support multimedia and technology integration in science classrooms and programs; * 20 six-minute stories for its new web only series, Science on the SPOT, which takes a fresh, fast and curious look at science with stories about albino redwoods, the science of fog and banana slugs, to name a few. (launched in 2010); * A daily science blog written by Northern California scientists, QUEST producers and science enthusiasts; * Exclusive web extras, featuring extended interviews with scientists; Flickr photos, and science hikes. Formal and informal Educators who would like to become involved withthe educational outreach program should contact: ScienceEd (at) kqed.org.

Proper citation: QUEST (RRID:SCR_005210) Copy   

•   Source: SciCrunch Registry

http://www.bsse.ethz.ch/cbg/software/shorah

A software package that allows for inference about the structure of a population from a set of short sequence reads as obtained from ultra-deep sequencing of a mixed sample. The package contains programs that support mapping of reads to a reference genome, correcting sequencing errors by locally clustering reads in small windows of the alignment, reconstructing a minimal set of global haplotypes that explain the reads, and estimating the frequencies of the inferred haplotypes.

Proper citation: ShoRAH (RRID:SCR_005211) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/scientific-community/science/projects/viral-genomics/v-phaser-2

A software tool to call variants in genetically heterogeneous populations from ultra-deep sequence data. It combines information regarding the covariation (i.e. phasing) between observed variants to increase sensitivity and an expectation maximization algorithm that iteratively recalibrates base quality scores to increase specificity. V-Phaser can reliably detect rare variants in diverse populations that occur at frequencies of <1%. V-Phaser 2 is a complete rewrite of the original V-Phaser. It contains a new model for length polymorphisms (indels) and incorporates paired end read information in its phasing model. The data access and probability computation sections of the code have also been highly optimized, resulting in substantial improvements in running time and memory usage.

Proper citation: V-Phaser 2 (RRID:SCR_005212) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/nsmapforrnaseq/

Software designed to identify and quantify isoforms from RNA-seq by incorporating a sparsity term into expression level estimation to enable isoform structure prediction and expression estimation simultaneously.

Proper citation: NSMAP (RRID:SCR_005213) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/cova/

A variant annotation and comparison tool for next-generation sequencing. It annotates the effects of variants on genes and compares those among multiple samples, which helps to pinpoint causal variation(s) relating to phenotype.

Proper citation: COVA (RRID:SCR_005175) Copy   

•   Source: SciCrunch Registry

http://bmda.cs.unibas.ch/HivHaploTyper/

Software for reconstructing haplotypes from next-generation sequencing data., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PredictHaplo (RRID:SCR_005207) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/qure/

A software program for viral quasispecies reconstruction, specifically developed to analyze long read (>100 bp) next-generation sequencing (NGS) data. The software performs alignments of sequence fragments against a reference genome, finds an optimal division of the genome into sliding windows based on coverage and diversity and attempts to reconstruct all the individual sequences of the viral quasispecies--along with their prevalence--using a heuristic algorithm, which matches multinomial distributions of distinct viral variants overlapping across the genome division. QuRe comes with a built-in Poisson error correction method and a post-reconstruction probabilistic clustering, both parameterized on given error rates in homopolymeric and non-homopolymeric regions.

Proper citation: QuRe (RRID:SCR_005209) Copy   

•   Source: SciCrunch Registry

http://bioinfo.mc.vanderbilt.edu/VirusFinder/

Software tool for efficient and accurate detection of viruses and their integration sites in host genomes through next generation sequencing data. Specifically, it detects virus infection, co-infection with multiple viruses, virus integration sites in host genomes, as well as mutations in the virus genomes. It also facilitates virus discovery by reporting novel contigs, long sequences assembled from short reads that map neither to the host genome nor to the genomes of known viruses. VirusFinder 2 works with both paired-end and single-end data, unlike the previous 1.x versions that accepted only paired-end reads. The types of NGS data that VirusFinder 2 can deal with include whole genome sequencing (WGS), whole transcriptome sequencing (RNA-Seq), targeted sequencing data such as whole exome sequencing (WES) and ultra-deep amplicon sequencing.

Proper citation: VirusFinder (RRID:SCR_005205) Copy   

•   Source: SciCrunch Registry

http://rnaexpress.org/

Software designed as a user friendly solution to extract and annotate biologically important transcripts from next generation RNA sequencing data.

Proper citation: RNA-eXpress (RRID:SCR_005167) Copy   

•   Source: SciCrunch Registry

http://unoseq.sourceforge.net/

A Java library to analyze next generation sequencing data and especially perform expression profiling in organisms where no well-annotated reference genome exists.

Proper citation: UnoSeq (RRID:SCR_005116) Copy   

•   Source: SciCrunch Registry

http://gds.nih.gov/

NIH established expectations for sharing data obtained through NIH-funded genome-wide association studies (GWAS) with the implementation of the GWAS Policy. Information and resources related to the GWAS Policy can be found on this website.

Proper citation: Genomic Datasharing (RRID:SCR_005233) Copy   

•   Source: SciCrunch Registry