Curator Dashboard

Software used for the identification of differentially expressed genes from count data or previously normalized count data. It empirically models the noise distribution of count changes by contrasting fold-change differences (M) and absolute expression differences (D) for all the features in samples within the same condition. This reference distribution is then used to assess whether the M-D values computed between two conditions for a given gene is likely to be part of the noise or represent a true differential expression.

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• SciCrunch
• 13 years ago - by Anonymous

Global commercial provider of cognitive assessment software for clinical trials, academic research and healthcare provision.

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• SciCrunch
• 12 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. The mission of the C. elegans Gene Knockout Consortium is to facilitate genetic research of this important model system through the production of deletion alleles at specified gene targets. We choose targets based on investigator requests. Strains produced by the consortium are freely available with no restrictions to any investigator. At one time, our capacity dictated that we restrict requests to five per lab. This restriction no longer holds. Investigators are encouraged especially to register requests for functionally related groups of genes. Consortium strains are distributed by the C. elegans Genetic Center (CGC). In most cases, when you use the Consortium web site to request an existing allele, your request is forwarded automatically to the CGC. However, if you indicate that an existing allele is not satisfactory for your research, (for whatever reason), you may request that we generate another allele for the same target. Any information generated by the Consortium is entered into the official C. elegans data repository, WormBase.

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• SciCrunch
• 17 years ago - by Anonymous

A comprehensive characterization of expression patterns of genetically-controlled markers or tool genes in the brains of transgenic mice generated by the Allen Institute as well as the broad scientific community. Providing standardized, detailed, anatomical profiling of transgene expression throughout the brain, this dataset is intended to reveal the potential of each transgenic mouse line and help researchers choose the appropriate tools for their studies. Transgenic mice are valuable tools to label selective neuronal or non-neuronal populations, modulate gene expression in these cells or manipulate activity of these cells for the study of neural circuits and brain function. The Allen Institute has launched a project to generate a variety of transgenic mouse lines, mainly using the Cre/lox system, to express fluorescent probes or neuronal activity manipulating tools in a variety of cell types in the brain. At the same time, utilizing Allen Institute's unique high-throughput capability, a pipeline is set up to characterize the ability in directing cell type specific expression in the brains of various transgenic mice generated by the Allen Institute as well as the broad scientific community. Through standardized, detailed, anatomical profiling of the transgene expression in the entire mouse brain, this dataset is intended to provide a comprehensive evaluation of the potential of each transgenic mouse line and help researchers choose the appropriate transgenic tools to study the function of different regions and/or cell types of the brain. This data release adds additional data to the existing set of new Cre-reporter lines generated at the Allen Institute that have stronger expression than other commonly used reporter lines are used to characterize approximately a dozen Cre-driver lines. The types of characterization data include digitized images (of sections sampling the entire brain) of colorimetric in situ hybridization (CISH), double fluorescent in situ hybridization (DFISH), native fluorescence of XFP (generic term for fluorescent proteins of different colors), and immunohistochemical (IHC) labeling of marker genes.

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• SciCrunch
• 17 years ago - by Anonymous

Software Python package for simulating spiking neural networks. Useful for neuroscientific modelling at systems level, and for teaching computational neuroscience. Intuitive and efficient neural simulator.

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• SciCrunch
• 13 years ago - by Anonymous

Database for functional enzyme and ligand-related information maintained as part of the German ELIXIR Node. Provides advanced query systems, evaluation tools, and various visualization options for the detailed assessment of enzyme properties. Enzyme data in BRENDA are classified according to the Enzyme Commission (EC) nomenclature of IUBMB.

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• SciCrunch
• 16 years ago - by Anonymous

Database of polymorphisms and mutations of the human mitochondrial DNA. It reports published and unpublished data on human mitochondrial DNA variation. All data is curated by hand. If you would like to submit published articles to be included in mitomap, please send them the citation and a pdf.

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• SciCrunch
• 17 years ago - by Anonymous

An R software package providing plotting and convenience functions.

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• SciCrunch
• 12 years ago - by Anonymous

A Swiss-led project with the aim of reverse engineering the mammalian brain and achieving a complete virtual human brain. The researchers have demonstrated the validity of their method by developing a realistic model of a rat cortical column, consisting of about 10,000 neurons. The eventual goal is to simulate systems of millions and hundreds of millions of neurons. The virtual brain will be an exceptional tool giving neuroscientists a new understanding of the brain and a better understanding of neurological diseases. In five years of work, Henry Markram's team has perfected a facility that can create realistic models of one of the brain's essential building blocks. This process is entirely data driven and essentially automatically executed on the supercomputer. Meanwhile the generated models show a behavior already observed in years of neuroscientific experiments. These models will be basic building blocks for larger scale models leading towards a complete virtual brain.

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• SciCrunch
• 14 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 08, 2013. A consortium of three facilities whose purpose is to establish, characterize, and distribute novel mutant mouse models with neural and/or behavioral phenotypes, and distribute them to the worldwide research community. Interested scientists are able to obtain information about mouse lines at all three sites in a single unified database. GOALS * Increase genomic and genetic tools for functional gene identification * Provide mice with mutations that alter the nervous system or behavior * Build collaborations between geneticists and neuroscientists The consortium is made up of three mutagenesis and phenotypic screening facilities, focused on identifying alterations in nervous system function and behavior, and established by NIH. They are the Neurogenomics Project at Northwestern University, the Neuroscience Mutagenesis Facility at The Jackson Laboratory, and the Neuromutagenesis Project of the Tennessee Mouse Genome Consortium. The NIH Neurogenomics Project at Northwestern University is directed by Dr. Joseph S. Takahashi, who also acts as the Director of the Neuromice.org consortium. Chemical mutagenesis is used to induce mutations throughout the genome and combined with phenotypic screens to detect mice with mutations. In order to maximize the genomic coverage and recover both dominant and recessive mutations, a dominant G1 screen and a recessive G3 screen are utilized. Phenotypic screens focus on five primary domains: learning and memory, behavioral responses to stress, responses to psychostimulants, circadian rhythmicity, and vision. The Neuroscience Mutagenesis Facility at the Jackson Laboratory is directed by Dr. Wayne N. Frankel. The Neuroscience Mutagenesis Facility is using a three-generation backcross breeding scheme to produce homozygous mutants and will thus recover dominant, semidominant, and recessive mutations. In addition, some mutagenesis will be done in ES cells followed by two generations of breeding. Phenotypic screens focus on identifying mutations affecting: motor function, seizure threshold, hearing, vision, and neurodevelopment. The Neuromutagenesis Project of the Tennessee Mouse Genome Consortium (TMGC) involves researchers throughout the state of Tennessee, under the direction of Dr. Daniel Goldowitz, Ph.D., at the University of Tennessee Health Science Center, Memphis. TMGC also includes researchers at Oak Ridge National Laboratory, Vanderbilt University, Meharry Medical College, University of Tennessee-Knoxville, St. Jude Children's Research Hospital, and the University of Memphis. The Project is using regional mutagenesis, covering regions on chromosomes 10, 14, 15, 19, and X, thus including approximately 15 of the genome in the screened region. Phenotypic screens include: motor and sensory function, learning and memory, neurohistology, aging, alcohol response, abused drug response, visual function, and social behavior. Neuromice.org has stopped taking orders online but mutants are orderable please contact the originating center for availability and pricing details. Live targeted mutant Fragile X model mice are now available for distribution.

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• SciCrunch
• 17 years ago - by Anonymous

IntEnz (Integrated relational Enzyme database) is a freely available resource focused on enzyme nomenclature. IntEnz is created in collaboration with the Swiss Institute of Bioinformatics (SIB). This collaboration is responsible for the production of the ENZYME resource. IntEnz contains the recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB) on the nomenclature and classification of enzyme-catalysed reactions.

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• SciCrunch
• 17 years ago - by Anonymous

Biologic Stylus is Biologic Institute's Stylus simulation software suite. Programming Language: C++, Python

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• SciCrunch
• 16 years ago - by Anonymous

Map of gene expression in developing mouse brain revealing gene expression patterns from embryonic through postnatal stages. Provides information about spatial and temporal regulation of gene expression with database. Feature include seven sagittal reference atlases created with a developmental ontology. These anatomic atlases may be viewed alongside in situ hybridization (ISH) data as well as by itself.

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• SciCrunch
• 17 years ago - by Anonymous

BioPerl is a community effort to produce Perl code which is useful in biology. This toolkit of perl modules is useful in building bioinformatics solutions in Perl. It is built in an object-oriented manner so that many modules depend on each other to achieve a task. The collection of modules in the bioperl-live repository consist of the core of the functionality of bioperl. Additionally auxiliary modules for creating graphical interfaces (bioperl-gui), persistent storage in RDMBS (bioperl-db), running and parsing the results from hundreds of bioinformatics applications (Run package), software to automate bioinformatic analyses (bioperl-pipeline) are all available as Git modules in our repository. The BioPerl toolkit provides a library of hundreds of routines for processing sequence, annotation, alignment, and sequence analysis reports. It often serves as a bridge between different computational biology applications assisting the user to construct analysis pipelines. This chapter illustrates how BioPerl facilitates tasks such as writing scripts summarizing information from BLAST reports or extracting key annotation details from a GenBank sequence record. BioPerl includes modules written by Sohel Merchant of the GO Consortium for parsing and manipulating OBO ontologies. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

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• SciCrunch
• 17 years ago - by Anonymous

A quantitative proteomics software program for accurate protein abundance ratio estimation with confidence interval evaluation.

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• SciCrunch
• 12 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4,2023.Platform provides free software and data services to international scientific community in order to foster scientific collaboration and facilitate scientific discovery process. Project adheres to open source philosophy that promotes collaboration and code reuse.

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• SciCrunch
• 17 years ago - by Anonymous

Web applications for analysis of multimodal/multispecies neuroimaging data. Image analysis software package. Has facilities for DTI and fMRI processing. Capabilities for both neuro/cardiac and abdominal image analysis and visualization. Many packages are extensible, and provide functionality for image visualization and registration, surface editing, cardiac 4D multi-slice editing, diffusion tensor image processing, mouse segmentation and registration, and much more. Can be intergrated with other biomedical image processing software, such as FSL, AFNI, and SPM.

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• SciCrunch
• 17 years ago - by Anonymous

Automatic software program for microarray image quantification.

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• SciCrunch
• 13 years ago - by Anonymous

Database of data obtained from the NIAID Influenza Genome Sequencing Project as well as from GenBank, combined with tools for flu sequence analysis and annotation. In addition, it provides links to other resources that contain flu sequences, publications and general information about flu viruses. Users can search the Flu database, build queries, retrieve sequences, and apply analysis tools. This includes selecting influenza sequences by virus, subtype, host, and other criteria, finding complete genome sets, aligning sequence and others in the database (up to 1000 sequences), viewing clustering and phylogenetic trees, BLAST searching a flu sequence against the database, and more.

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• SciCrunch
• 17 years ago - by Anonymous

Collection of gene expression data in mouse brain for five different conditions of sleep and wakefulness to understand sleep deprivation and dynamic changes underlying sleep and wake cycles. Platform to generate cellular resolution expression data.

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• SciCrunch
• 17 years ago - by Anonymous