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The Damon Runyon Cancer Research Foundation funds early career cancer researchers who have the energy, drive and creativity to become leading innovators in their fields. We identify the best young scientists in the nation and support them through four award programs: our Fellowship, Pediatric Cancer Fellowship, Clinical Investigator and Innovation Awards. Damon Runyon awards give young scientists: * Freedom to follow their own ideas, explore new paths and take risks * A prestigious endorsement that attracts further funding, advances their careers and accelerates their research * Guaranteed financial support, sparing them hours applying for grants Since 1946, Damon Runyon has invested more than $240 million in the best young minds in the nation. Our alumni include 11 Nobel Laureates and leaders of major cancer centers across the United States. Many of our 3,300 scientists have gone on to make breakthroughs in the way we prevent, diagnose and treat many forms of cancer. The Damon Runyon Cancer Research Foundation is a registered nonprofit with 501(c)(3) status.

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• SciCrunch
• 15 years ago - by Anonymous

A single nucleotide variant caller optimised for identifying somatic variants in low cellularity cancer samples.

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• SciCrunch
• 13 years ago - by Anonymous

The Brain Tumor Funders'' Collaborative is a partnership among five private philanthropic and advocacy organizations: American Brain Tumor Association, Brain Tumour Foundation of Canada, Children''s Brain Tumor Foundation, James S. McDonnell Foundation, and Sontag Foundation. This Collaborative promotes research directly relating to brain tumors and offers grants to professors and institutions to conduct research.

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• SciCrunch
• 15 years ago - by Anonymous

Web service to access seismic time-series data for specified channels and time ranges that are selected using SEED time series identifiers (network, station, location & channel). Data are returned in miniSEED format. This service is an implementation of the International Federation of Digital Seismograph Networks (FDSN) web service specification version 1.

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• SciCrunch
• 12 years ago - by Anonymous

The Research Fellowship Program of the AAN Foundation is focused on one critical need that crosses all disciplines: the need to recruit and train clinical researchers in neurology. This program funds research in neurological sciences and offers clinical research fellowships and young investigators fellowships; professional development awards. The scientific and medical communities have called the shortage of investigators a crisis that will impact far more than the 50 million Americans currently suffering from a neurological disease. Recognizing this critical need for neurology research, the AAN Foundation has dedicated its grant making efforts toward investing in young researchers. NIH funding for neurologic research has remained the same for the last four years and competition for NIH funds has intensified. The increase in AAN''s fellowships have kept the dream alive for many of our young clinician-researchers. For several years in a row, AAN fellowship recipients have gone on to receive NIH funding at record levels. AAN fellowships are the first step to a broader base of support. The AAN Foundation has identified and developed several funding mechanisms to help achieve this goal: Opportunities * Clinical Research Training Fellowships are mentored awards designed for relatively new investigators in the early-to-mid stages of their training in clinical research methodology. * Clinician-Scientist Development Awards are three-year awards to support clinical research leading to discovery of new therapies in specific disease areas. * Practice Research Training Fellowships are two-year awards to support training in clinical practice research and are intended to create unique training opportunities, previously difficult to access for neurologists. * AHA/ASA/AANF Lawrence M. Brass M.D. Stroke Research Postdoctoral Fellowship A two year award offers support to a postdoctoral fellow with a preference for trainees in vascular neurology, stroke, neurocritical care, or outcomes research.

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• SciCrunch
• 15 years ago - by Anonymous

A novel algorithmic framework for the integrated analysis of RNA-Seq and Whole Genome Shotgun Sequencing (WGSS) data for the purposes of discovering genomic rearrangements and aberrant transcripts. The Comrad framework leverages the advantages of both RNA-Seq and WGSS data, providing accurate classification of rearrangements as expressed or not expressed and accurate classification of the genomic or non-genomic origin of aberrant transcripts. A major benefit of Comrad is its ability to accurately identify aberrant transcripts and associated rearrangements using low coverage genome data. As a result, a Comrad analysis can be performed at a cost comparable to that of two RNA-Seq experiments, significantly lower than an analysis requiring high coverage genome data.

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• SciCrunch
• 13 years ago - by Anonymous

A database of mRNA alternative splicing in the human genome. Within it, several modes of mRNA alternative splicing, such as exon skipping, alternative 5''-splicing sites, alternative 3''-splicing sites and mutually exclusive exons are computationally derived and extracted. Finally, for each type of alternative splicing, the flanking intronic sequences are collected and then exploited by motif discovery tools. The tissue-specific information and gene functionalities that correspond to the selected regions are also considered. The database provides a means of investigating alternative splicing and can be used for identifying alternative splicing - related motifs, such as the exonic splicing enhancer (ESE), the exonic splicing silencer (ESS) and other intronic splicing motifs.

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• SciCrunch
• 17 years ago - by Anonymous

The Alfred P. Sloan Foundation is a philanthropic, not-for-profit grantmaking institution based in New York City. Established in 1934 by Alfred Pritchard Sloan Jr., then-President and Chief Executive Officer of the General Motors Corporation, the Foundation makes grants in support of original research and education in science, technology, engineering, mathematics and economic performance. * Promotes research in science, technology, engineering, mathematics, and economic performance * Offers two-year long research fellowships for early career researchers

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• SciCrunch
• 15 years ago - by Anonymous

A new, relational database to be used for disease gene discovery, gene annotation and reporting, and searching for genes for future studies in model organisms. It incorporates 5 layers of information about the genes residing in it- the expression information from a gene (as reported in Unigene), the cytological location of the gene (if available), the ortholog of each gene in the available species within the database, the divergence information between species for each gene, and functional information as reported by OMIM and the Enzyme Commission (EC) reference number of genes. Tables have also been created to help record polymorphism data and functional information about specific changes within or between species, such as measured by Granthams distance (1) or model organism studies.

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• SciCrunch
• 17 years ago - by Anonymous

Software providing a Hadoop-based genomic structural variation (SV) caller for Illumina paired-end DNA sequencing data. It contains a full pipeline for aligning data in the form of FASTQ files using alignment pipelines that generate many possible mappings for every read, in the Hadoop framework. It then contains Hadoop jobs for computing genomic features from the alignments, and for calling insertion and deletion variants from those features.

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• SciCrunch
• 12 years ago - by Anonymous

Professionally curated repository for genetics, genomics and related data resources for soybean that contains the most current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated Williams 82 genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies. Contributions to SoyBase or the Breeder''s Toolbox are welcome.

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• SciCrunch
• 17 years ago - by Anonymous

A structured controlled vocabulary for describing cereal plant development and growth stages. Please note that this ontology has now been superseded by the Plant Ontology.

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• SciCrunch
• 13 years ago - by Anonymous

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.

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• SciCrunch
• 17 years ago - by Anonymous

Genome transcriptome atlas by RNA in situ hybridization on sagittal sections of developing mouse at embryonic day 14.5. Consists of searchable database of annotated images that can be interactively viewed. Anatomy based expression profiles for coding genes and microRNAs, tissue specific genes. Expression data generated by using human and murine tissue arrays.

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• SciCrunch
• 16 years ago - by Anonymous

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.

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• SciCrunch
• 13 years ago - by Anonymous

A database for phenotyping human single nucleotide polymorphisms (SNPs)that primarily focuses on the molecular characterization and annotation of disease and polymorphism variants in the human proteome. They provide a detailed variant analysis using their tools such as: * TANGO to predict aggregation prone regions * WALTZ to predict amylogenic regions * LIMBO to predict hsp70 chaperone binding sites * FoldX to analyse the effect on structure stability Further, SNPeffect holds per-variant annotations on functional sites, structural features and post-translational modification. The meta-analysis tool enables scientists to carry out a large scale mining of SNPeffect data and visualize the results in a graph. It is now possible to submit custom single protein variants for a detailed phenotypic analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 17 years ago - by Anonymous

A simulation engine for generating RNA-Seq data that was designed to benchmark RNA-Seq alignment algorithms and also algorithms that aim to reconstruct different isoforms and alternate splicing from RNA-Seq data. By default BEERS simulates either mouse or human paired-end RNA-Seq data modeled on the illumina platform. It starts with a large number of gene models (approx 500K) taken from about ten different published annotation efforts, and then chooses a fixed number of these genes at random (30,000 by default). This avoids biasing for or against any particular set of annotations. BEERS then introduces substitutions, indels, alternate spice forms, sequencing errors, and intron signal. BEERS can also simulate strand specific reads. BEERS does not simulate quality scores. There are four configuration files required, these are available for human and mouse. BEERS can also be configured to use any set of gene models. Pre-built indexes for human refseq are given. Using these indexes will generate a much tamer set of transcripts. BEERS is written in perl.

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• SciCrunch
• 13 years ago - by Anonymous

The Restless Legs Syndrome Foundation established the RLS Foundation Brain Bank at the Harvard Brain Tissue Resource Center in 2000. A part of the Harvard University medical system, the Center (housed at McLean Hospital and commonly referred to as The Brain Bank) began in 1978 as a centralized resource for the collection and distribution of human brain specimens for research and diagnostic studies. Over the years, hundreds of scientists from the nation''s top research and medical centers have requested tissue from The Brain Bank for their investigations. Because most of these studies can be carried out on a very small amount of tissue, each donated brain provides a large number of samples for many researchers. For comparative purposes, brain tissue is needed from healthy individuals, as well as from those who had RLS. When possible, a small portion of frozen tissue taken from each brain donated to the RLS Foundation Collection will be kept available to serve as a resource for future genetic testing. The process of donating your brain to RLS research is broken down into 5 steps. To view these steps, please read our Process Steps in RLS Brain Tissue Collection. To read about the process of donating brain tissue for research, visit our Brain Bank Tissue Donation page.

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• SciCrunch
• 15 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. Software that aims at modeling RNA-Seq experiments in silico: sequencing reads are produced from a reference genome according annotated transcripts. The simulation pipeline models different steps as modules, each with a minimal set of parameters that can be estimated by experimental parameters. The first step is-in fact-a transcriptome simulator. Subsequently, common sources of systematic bias in the abundance and distribution of produced reads are simulated by in silico library preparation and sequencing.

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• SciCrunch
• 13 years ago - by Anonymous

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.

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• SciCrunch
• 15 years ago - by Anonymous