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https://kepler-project.org/

Kepler is a software application for analyzing and modeling scientific data. Using Kepler''s graphical interface and components, scientists with little background in computer science can create executable models, called scientific workflows, for flexibly accessing scientific data (streaming sensor data, medical and satellite images, simulation output, observational data, etc.) and executing complex analyses on this data. Kepler is developed by a cross-project collaboration led by the Kepler/CORE team. The software builds upon the mature Ptolemy II framework, developed at the University of California, Berkeley. Ptolemy II is a software framework designed for modeling, design, and simulation of concurrent, real-time, embedded systems. The Kepler Project is dedicated to furthering and supporting the capabilities, use, and awareness of the free and open source, scientific workflow application, Kepler. Kepler is designed to help scien��tists, analysts, and computer programmers create, execute, and share models and analyses across a broad range of scientific and engineering disciplines. Kepler can operate on data stored in a variety of formats, locally and over the internet, and is an effective environment for integrating disparate software components, such as merging R scripts with compiled C code, or facilitating remote, distributed execution of models. Using Kepler''s graphical user interface, users simply select and then connect pertinent analytical components and data sources to create a scientific workflowan executable representation of the steps required to generate results. The Kepler software helps users share and reuse data, workflows, and compo��nents developed by the scientific community to address common needs. Kepler is a java-based application that is maintained for the Windows, OSX, and Linux operating systems. The Kepler Project supports the official code-base for Kepler development, as well as provides materials and mechanisms for learning how to use Kepler, sharing experiences with other workflow developers, reporting bugs, suggesting enhancements, etc. The Kepler Project Leadership Team works to assure the long-term technical and financial viability of Kepler by making strategic decisions on behalf of the Kepler user community, as well as providing an official and durable point-of-contact to articulate and represent the interests of the Kepler Project and the Kepler software application. Details about how to get more involved with the Kepler Project can be found in the developer section of this website.

Proper citation: Kepler (RRID:SCR_005252) Copy   

•   Source: SciCrunch Registry

http://hnrc.hivresearch.ucsd.edu/

The mission of the HIV Neurobehavioral Research Center (HNRC) is to increase our understanding of how HIV and other diseases affect the human nervous system. The HNRC conducts local, national, and international research devoted to advancing our knowledge of the prevention, diagnosis and treatment of HIV-related diseases as they affect the brain and nervous system, and result in impairment of everyday functioning. Research areas of the Center include: - The incidence, prevalence, and features of neurocognitive impairment caused by HIV - The attributes of the virus, host, and host-virus interactions that determine the presentation of HIV-associated neurocognitive disorders - Possible molecular and cellular mechanisms of nervous system impairment, including the mechanisms by which host-virus factors generate neural injury and neurobehavioral disorders - The cerebrospinal fluid (CSF) as a window on CNS events * The role of co-pathogens and comorbidities in neuroAIDS (e.g., hepatitis C infection, methamphetamine abuse) - Real life implications of neurocognitive impairment in terms of work, daily life, and survival - The effects of HIV disease and neurocognitive impairment on family and social adaptation - NeuroAIDS in resource limited settings - Treatments for neurocognitive impairment and behavioral interventions HNRC also has a Developmental Grants Program (DGP), the primary goal of which is the initiation of innovative studies by junior faculty and trainees at UCSD or affiliated institutions with the following objectives: 1. Recruitment to neuroAIDS research of new investigators or established investigators without prior experience in the field; 2. Generation and pilot testing of new research initiatives; 3. Fostering collaboration among investigators from throughout Southern California. The program provides to qualified investigators and trainees any appropriate combination of the following forms of support: 1. Small, 1-2 year grants to support pilot studies; 2. Access to HNRC core resources such as data, specimens, participants, equipment, administrative support, or expert consultation and technical assistance. Lastly, The the NHRC Mentored Investigator Program recruits, supports, and follows the progress of graduate students, postdoctoral (Ph.D. or M.D.) fellows, and junior faculty in disciplines relevant to HNRC research. The HNRC is committed to tailoring our training opportunities to the backgrounds and interests of candidates from a variety of disciplines who join us with various levels of training and experience in research. We have and will continue to provide training and mentoring of medical students, doctoral students in clinical psychology, and postdoctoral fellows in Medicine, Psychiatry, Neurology, and Psychology. Sponsors: The Center is supported by public funding from the National Institutes of Health, the State of California, and other sources.

Proper citation: HIV Neurobehavioral Research Center (RRID:SCR_005370) Copy   

•   Source: SciCrunch Registry

http://www.ulg.ac.be/cms/c_5000/en/

Public university in French community of Belgium. International university spreads out over 4 campuses. Its official language is French.

Proper citation: University of Liege; Wallonia; Belgium (RRID:SCR_005369) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/phenoman/

An interactive software program that integrates phenotypic data exploration, selection, management and quality control using a unified platform for association studies of rare and common variants.

Proper citation: PhenoMan (RRID:SCR_005249) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/

Collection of resting state fMRI (R-fMRI) datasets from sites around world. It demonstrates open sharing of R-fMRI data and aims to emphasize aggregation and sharing of well-phenotyped datasets.

Proper citation: 1000 Functional Connectomes Project (RRID:SCR_005361) Copy   

•   Source: SciCrunch Registry

http://www.bioextract.org/GuestLogin

An open, web-based system designed to aid researchers in the analysis of genomic data by providing a platform for the creation of bioinformatic workflows. Scientific workflows are created within the system by recording tasks performed by the user. These tasks may include querying multiple, distributed data sources, saving query results as searchable data extracts, and executing local and web-accessible analytic tools. The series of recorded tasks can then be saved as a reproducible, sharable workflow available for subsequent execution with the original or modified inputs and parameter settings. Integrated data resources include interfaces to the National Center for Biotechnology Information (NCBI) nucleotide and protein databases, the European Molecular Biology Laboratory (EMBL-Bank) non-redundant nucleotide database, the Universal Protein Resource (UniProt), and the UniProt Reference Clusters (UniRef) database. The system offers access to numerous preinstalled, curated analytic tools and also provides researchers with the option of selecting computational tools from a large list of web services including the European Molecular Biology Open Software Suite (EMBOSS), BioMoby, and the Kyoto Encyclopedia of Genes and Genomes (KEGG). The system further allows users to integrate local command line tools residing on their own computers through a client-side Java applet.

Proper citation: BioExtract (RRID:SCR_005397) Copy   

•   Source: SciCrunch Registry

http://statgenpro.psychiatry.hku.hk/limx/kggseq/

A biological Knowledge-based mining platform for Genomic and Genetic studies using Sequence data. The software platform, constituted of bioinformatics and statistical genetics functions, makes use of valuable biologic resources and knowledge for sequencing-based genetic mapping of variants / genes responsible for human diseases / traits. It facilitates geneticists to fish for the genetic determinants of human diseases / traits in the big sea of DNA sequences. KGGSeq has paid attention to downstream analysis of genetic mapping. The framework was implemented to filter and prioritize genetic variants from whole exome sequencing data.

Proper citation: KGGSeq (RRID:SCR_005311) Copy   

•   Source: SciCrunch Registry

http://soap.genomics.org.cn/soapindel.html

Software focusing on calling indels from the next-generation paired-end sequencing data.

Proper citation: SOAPindel (RRID:SCR_005272) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.12/bioc/html/PING.html

Software program for probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach.

Proper citation: PING (RRID:SCR_005394) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/rseqc/

Software package to comprehensively evaluate different aspects of RNA-seq experiments, such as sequence quality, GC bias, polymerase chain reaction bias, nucleotide composition bias, sequencing depth, strand specificity, coverage uniformity and read distribution over the genome structure. RSeQC takes both SAM and BAM files as input, which can be produced by most RNA-seq mapping tools as well as BED files, which are widely used for gene models.

Proper citation: RSeQC (RRID:SCR_005275) Copy   

•   Source: SciCrunch Registry

http://www.med.harvard.edu/AANLIB/

An atlas of normal and abnormal brain images intended as an introduction to basic neuroanatomy, with emphasis on the pathoanatomy of several leading central nervous system diseases that integrates clinical information with magnetic resonance (MR), x-ray computed tomography (CT), and nuclear medicine images. A range of brain abnormalities are presented including examples of certain brain disease presented with various combinations of image type and imaging frequency. Submissions of concise, exemplary, clinically driven examples of neuroimaging are welcome.

Proper citation: Whole Brain Atlas (RRID:SCR_005390) Copy   

•   Source: SciCrunch Registry

http://bioapps.sabanciuniv.edu/mugex/v02/

Service that automatically extracts mutation-gene pairs from MEDLINE abstracts for a given disease.

Proper citation: MuGeX (RRID:SCR_005306) Copy   

•   Source: SciCrunch Registry

http://llama.mshri.on.ca/synergizer/translate/

The Synergizer database is a growing repository of gene and protein identifier synonym relationships. This tool facilitates the conversion of identifiers from one naming scheme (a.k.a namespace) to another. The Synergizer is a service for translating between sets of biological identifiers. It can, for example, translate Ensembl Gene IDs to Entrez Gene IDs, or IPI IDs to HGNC gene symbols, and much more. Unlike some other tools for this purpose, The Synergizer is simple and easy to learn. The Synergizer works via a web interface (for users who are not programmers) or through a web service (for programmatic access).

Proper citation: Synergizer (RRID:SCR_005308) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/software/scripture/

Software for transcriptome reconstruction that relies solely on RNA-Seq reads and an assembled genome to build a transcriptome ab initio. The statistical methods to estimate read coverage significance are also applicable to other sequencing data. Scripture also has modules for ChIP-Seq peak calling.

Proper citation: Scripture (RRID:SCR_005269) Copy   

•   Source: SciCrunch Registry

http://hmmer.janelia.org/

Tool for searching sequence databases for homologs of protein sequences, and for making protein sequence alignments. It implements methods using probabilistic models called profile hidden Markov models (profile HMMs). Compared to BLAST, FASTA, and other sequence alignment and database search tools based on older scoring methodology, HMMER aims to be significantly more accurate and more able to detect remote homologs because of the strength of its underlying mathematical models. In the past, this strength came at significant computational expense, but in the new HMMER3 project, HMMER is now essentially as fast as BLAST.

Proper citation: Hmmer (RRID:SCR_005305) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.mdanderson.org/main/SpliceSeq:Overview

A Java application to investigate alternative mRNA splicing patterns in data from high-throughput mRNA sequencing studies. Sequence reads are mapped to splice graphs that unambiguously quantify the inclusion level of each exon and splice junction. The graphs are then traversed to predict the protein isoforms that are likely to result from the observed exon and splice junction reads. UniProt annotations are mapped to each protein isoform to identify potential functional impacts of alternative splicing. This tool may be used on a single RNASeq sample to identify genes with multiple spliceforms, on a pair of samples to identify differential splicing between the two, or on groups of samples to identify statistically significant group level differences in splicing patterns. SpliceSeq can be run from the install page as a java web start application to explore the sequencing data on their server or can be installed locally to analyze your own mRNA-Seq data.

Proper citation: SpliceSeq (RRID:SCR_005267) Copy   

•   Source: SciCrunch Registry

http://www.nbiadisorders.org/

The NBIA Disorders Association, formerly known as Hallervorden-Spatz Syndrome Association, (HSSA) was originally founded in 1996 by President, Patricia Wood. The goals of the association are to raise funds to support research pertinent to NBIA; to provide emotional support to those afflicted with NBIA and their families; and to raise public awareness of NBIA. The NBIA Disorders Association is accepting applications for one-year grants for clinical and translational research studies related to the early detection, diagnosis, or treatment of patients with NBIA. Neurodegeneration with Brain Iron Accumulation (NBIA) is a group of rare, genetic, neurological disorders characterized by the accumulation of iron deposits in the brain and progressive degeneration of the nervous system. It typically first appears in childhood. Presenting signs and symptoms may include difficulty walking, loss of balance, and problems related to speech. Those affected suffer a progressive loss of muscle control, sudden involuntary muscle spasms, and uncontrolled tightening of the muscles. Symptoms may also include disorientation, seizures, and deterioration of intellectual ability. Approximately half of the cases diagnosed have been linked to a mutation of a gene known as PANK2. At the present time, symptoms may be treated but there is no cure. The purpose of the NBIA Disorders Association Research Grant Program is to encourage meritorious research studies designed to improve the diagnosis or treatment of NBIA. The research can be conducted in the United States, countries of the European Union, Canada, Australia, New Zealand, Brazil, Argentina, Chile, South Africa, Japan, or Israel, and in other countries where adequate supervision of grant administration is possible. Grants will be awarded to qualified researchers to initiate pilot studies, the results of which are intended to be used to obtain larger multi-year grant funding. Evaluation of proposals will follow NIH guidelines and include careful consideration of experimental or protocol design, objectivity or relevance of parameters measured, and statistical analysis plan. Proposals that address the following areas will be given priority: * Therapeutics Development: ** Development of pantethine and its derivatives ** Development of other rational therapeutics * Animal & Cellular Models: ** Development of a new rodent disease model by targeted insertion of a ''human disease'' mutation into Pank2 ** Development of induced pluripotent stem cell lines. *** Development of animal and cellular models will be considered for multi-year funding with adequate budget justification. Proposals should detail a research plan and a budget for the initial phase of the work, with the option to contract further work out to a commercial enterprise. * Biomarker Discovery and Assay Development: ** Metabolomics ** Coenzyme A / acyl coenzyme A measurement using accessible (peripheral and central) tissue/fluid * New NBIA gene discovery

Proper citation: NBIA Disorders Association (RRID:SCR_005382) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-14/search?q=*

A virtual database currently indexing the following scientific Job resources: Naturejobs, Monster, Indeed, Hays, jobs.ac.uk, New Scientist Jobs, Science Careers, Access-ScienceJobs.co.uk, TheScienceJobs.com, ScienceBlogs: Jobs, and It Takes 30.

Proper citation: Integrated Jobs (RRID:SCR_005384) Copy   

•   Source: SciCrunch Registry

http://splitread.sourceforge.net/

Software for detecting INDELs (small insertions and deletion with size less than 50bp) as well as large deletions that are within the coding regions from the exome sequencing data. It also can be applied to the whole genome sequencing data.

Proper citation: SPLITREAD (RRID:SCR_005264) Copy   

•   Source: SciCrunch Registry

http://www.biokepler.org

A Comprehensive Bioinformatics Scientific Workflow Module for Distributed Analysis of Large-Scale Biological Data that is distributed on top of the core Kepler scientific workflow system.

Proper citation: bioKepler (RRID:SCR_005385) Copy   

•   Source: SciCrunch Registry