Curator Dashboard

Software that provides basic S4 data structures and routines for analyzing plate based flow cytometry data.

• Resource
• SciCrunch
• 12 years ago - by Anonymous

Online portal of the software resources provided by Hanchuan Peng's lab. Program functions include 3D image rendering, MATLAB toolboxs, image annotator, and cell explorer atlas and building tools.

• Resource
• SciCrunch
• 16 years ago - by Anonymous

The Krasnow Institute seeks to expand understanding of mind, brain, and intelligence by conducting research at the intersection of the separate fields of cognitive psychology, neurobiology, and the computer-driven study of artificial intelligence and complex adaptive systems. These separate disciplines increasingly overlap and promise progressively deeper insight into human thought processes. The Institute also examines how new insights from cognitive science research can be applied for human benefit in the areas of mental health, neurological disease, education, and computer design. It is this informed access to mind and brain that is the core of the mission of The Krasnow Institute. While their goals and tools are scientific, they also are fully cognizant of the applications of the results for the benefit of mankind, in areas like mental health, neurological diseases, and computer design. In asking the major questions they realized the necessity of being flexible, innovative, and trans-disciplinary. Therefore, they became dedicated to bringing together scholars from a wide variety of specialties and providing a milieu where they can be both productive and interactive. This institute will provide these researchers with the tools required to move ahead and create an environment of optimal scientific integrity coupling innovation with risk taking. The Krasnow institute is especially attuned to the deep insights from evolutionary biology, which is at the root of understanding all organismic functions including cognition; computer studies of complex systems, which present a revolution in our ability to deal with the world of interactive agents; and a long history of cognitive psychology, which provides a huge data base of human abilities and responses. It also continues to develop its long-term research program based on the contributions of George Mason University faculty holding joint appointments at Krasnow and other GMU academic departments. Additionally, the Krasnow Institute Department of Molecular Neuroscience, together with the College of Science (COS) and the College of Humanities and Social Sciences (CHSS), oversees the campus-wide Neuroscience Council in developing the Neuroscience PhD curriculum. Research groups in the Krasnow institute include: - Adaptive Systems Laboratory - Center for Neural Dynamics - Center for Social Complexity - Center for the Study of Neuroeconomics o Neuroeconomics Laboratory - Comparative Vertebrate Neurobiology Research Group - Center for Neuroinformatics, Neural Structures, and Neuroplasticity (CN3) o Computational and Experimental Neuroplasticity (CENlab) o Computational Neuroanatomy Group o Physiological and Behavioral Neuroscience in Juveniles (PBNJ) Lab - Receptor Complexes and Signaling Lab - Krasnow Investigations of Developmental Learning and Behavior (KIDLAB) - Neuro Imaging Core of the Krasnow Institute

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Software for linkage and association modeling in pedigrees that uses a maximum likelihood model to extract information on genetic linkage and association from samples of unrelated individuals, sib pairs, trios and larger pedigrees (Li et al, 2005; Li et al, 2006). It provides estimates of genetic model parameters and powerful tests of association in settings where population stratification is not a concern.

• Resource
• SciCrunch
• 14 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 10th,2023. An R software package for detecting and correcting biases in RNA-Sequencing data.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 10th,2023. An R code for Bayesian modeling of paired RNA-seq experiments.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Integrated database of experiment data generated by participating research institutes and public databases relating to: 1) transcription starting position of human genes in the human genome, 2) conjunction to control region on transcriptional factors and the human genome 3) protein-protein interaction with a central focus on transcription factors organized for use in genome level research. Gene Search is the function to search the integrated database by using keywords and public IDs. The search results can be visualized by: * Genome Explorer : provides annotation of landmarks (genes, transcription start sites, etc.) aligned in accordance with their genome locations. * PPI Network : provides a graphical view of protein-protein interaction (PPI) network from the experimental data generated under the project and the public datasets. * Expression Profile : clusters genes by expression pattern and display the result with heatmap. The function provides genes which have relation of coregulation and anti-coregulation. * Comparison Viewer : This function gives the view to compare the genomic regions between human and mouse homologous genes. The viewer shows the distribution of transcription start sites (TSS) as the way of separable by tissues or time points with other landmarks on genome region. * Gene Stock : This is the function to save the gene list that you are interested until the session is closed.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Application programming interface that gives one programmatic access to the article level metrics data associated with articles and datasets collected by Altmetric. It extracts, disambiguates and collates mentions of scholarly works online, allowing one to focus on one's core product.

• Resource
• SciCrunch
• 14 years ago - by Anonymous

Provides informationa about Genome of California Purple Sea Urchin, one species (Strongylocentrotus purpuratus) of which has been sequenced and annotated by Sea Urchin Genome Sequencing Consortium led by HGSC. Reports sequence and analysis of genome of sea urchin Strongylocentrotus purpuratus, a model for developmental and systems biology.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Some of the alternate ORFs predicted to be genes by automatic annotation programs are subsequently culled by human curators; however, many escape even expert curation. AlterORF provides a database of such potentially mis-annotated ORFs. It has warehoused all alternate ORFs in fully sequenced microbial genomes that have significant hits with one or more of the protein features described in CDD, COG, KOG, PFAM, PRK and SMART in which the corresponding annotated genes that have been deposited in the databases have no such characteristics Some of the alternate ORFs that have significant protein features (CDD, COG, etc.) are associated with annotated genes that also have significant protein features, making it moot which is the real gene. Some of these instances are potentially dual function genes in which both ORFs may be expressed (e.g. ref). AlterORF identifies these possibilities for further computational and experimental investigation. All data present in AlterORF and database files and tables can be download in a compressed file. Please take in account that the complete database has ~ 300 GB. AlterORF operate 132 cpu cluster contributed by Microsoft as part of a sponsored research program. The Center for Bioinformatics and Genome Biology is a member of the Ibero- Latin American Bioinformatics Network (RIB), the Virtual Institute for Integrative Biology (VIIB) and the E-science Infrastructure Shared Between Europe and Latin America (EELA-2).

• Resource
• SciCrunch
• 16 years ago - by Anonymous

Portal of neuroscience and neurology resources pertaining to the University of Eastern Finland.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

MegaCapture is a VisualBasic macro developed for automating the acquisition of in toto image sets. It is useable on Zeiss microscopes using LSM v4.x software (pre-Zen). MegaCapture can automatically acquire image sets across any combination of dimensions including x, y, z, time, color, x-tile, y-tile, row, and column. Images are exported on the fly and can be compressed allowing very large (100,000 images) image sets to be captured. Sponsors: MegaCapture is supported by Harvard University.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

A collection of open source software tools for creating and managing genome-scale biological databases. GMOD is made up databases, applications, and adaptor software that connects these components together. You can use it to create a small laboratory database of genome annotations, or a large web-accessible community database. At first GMOD just featured model organisms but now any organism with any kind of sequence associated with it is a good candidate as a subject for a GMOD database. There are GMOD databases with just protein sequence in them, with EST sequence only, those that are concerned primarily with gene expression, and even those dedicated to collections of RNA sequence. They have also heard of GMOD databases for oligonucleotides and plasmids.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

A public curated compilation of allele frequency data on anthropologically defined human population samples linked to the molecular genetics-human genome databases. Only data on well defined population samples that are large enough to yield reasonably accurate frequencies and for polymorphisms sufficiently defined to be replicable can be included in ALFRED. Researchers wishing to have their data entered into ALFRED should contact them. Initially, ALFRED contained primarily data generated in the laboratories of K.K. and J.R. Kidd in the Department of Genetics at Yale, including extensive unpublished data. Data from the published literature are being entered into ALFRED in a systematic way, with a focus on polymorphisms studied in many different populations. ALFRED is distinct from such databases as dbSNP, which catalogs sequence variation. ALFRED's focus is on allele frequencies in diverse anthropologically defined populations. It is not a compendium of human DNA polymorphisms but of frequencies of selected polymorphisms with an emphasis on those that have been studied in multiple populations. All of the data in ALFRED are considered to be in the public domain and available for use in research and teaching. ALFRED provides easy searching options including versatile "Keyword search" and also has numerous summary tables providing quick overviews of contents by chromosome, population, average heterozygosity, Fst and others, all available under various tabs from the ALFRED homepage.

• Resource
• SciCrunch
• 14 years ago - by Anonymous

Service to create PDF and web forms.

• Resource
• SciCrunch
• 14 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. A collection of software modules for image data handling, pre-processing, segmentation, inspection, editing, post-processing, and secondary analysis. These modules can be scripted to accomplish a variety of automated image analysis tasks. All of the modules are written in accordance with software practices of the Insight Toolkit Community. Importantly, all modules are accessible through the Python scripting language which allows users to create scripts to accomplish sophisticated associative image analysis tasks over multi-dimensional microscopy image data. This language works on most computing platforms, providing a high degree of platform independence. Another important design principle is the use of standardized XML file formats for data interchange between modules.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Freely available database focused on interactions established by extracellular proteins and polysaccharides, taking into account the multimeric nature of the extracellular proteins (e.g. collagens, laminins and thrombospondins are multimers). MatrixDB is an active member of the International Molecular Exchange (IMEx) consortium and has adopted the PSI-MI standards for annotating and exchanging interaction data. It includes interaction data extracted from the literature by manual curation, and offers access to relevant data involving extracellular proteins provided by the IMEx partner databases through the PSICQUIC webservice, as well as data from the Human Protein Reference Database. The database reports mammalian protein-protein and protein-carbohydrate interactions involving extracellular molecules. Interactions with lipids and cations are also reported. MatrixDB is focused on mammalian interactions, but aims to integrate interaction datasets of model organisms when available. MatrixDB provides direct links to databases recapitulating mutations in genes encoding extracellular proteins, to UniGene and to the Human Protein Atlas that shows expression and localization of proteins in a large variety of normal human tissues and cells. MatrixDB allows researchers to perform customized queries and to build tissue- and disease-specific interaction networks that can be visualized and analyzed with Cytoscape or Medusa. Statistics (2013): 2283 extracellular matrix interactions including 2095 protein-protein and 169 protein-glycosaminoglycan interactions.

• Resource
• SciCrunch
• 14 years ago - by Anonymous

Tool for quantification of human miRNA-mRNA Interactions. TaLasso is also available as Matlab or R code.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Tool that takes a list of genes and finds relevant diseases based on statistical analysis of the Disease Ontology annotation database. It accepts Entrez gene ids or gene symbols, separated by tabs, newlines, or commas. This list of genes can be obtained by microarray, proteomics, sequencing or other high-throughput screening methods.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

ENFIN is a virtual institute to enable systems-level integration of experimental results. It is committed to provide a Europe-wide integration of computational approaches in systems biology. Its objectives are: - To develop a shared approach between traditionally dry and traditionally wet researchers in the area of systems-level interpretation of experimental results - To develop a distributed computational platform this integration and analysis of experimental data - To directly prove that such an approach has scientific value - To encourage and participate in the critical assessment of systems-level approaches - To disseminate knowledge and techniques to other academic researchers worldwide - To disseminate knowledge and techniques to commercial researchers, in particular European SMEs - To train young European researchers from a variety of backgrounds in system-level informatics techniques. The ENFIN Network runs four major platforms: A Joint Research Program covering the fields of Discrete Function Prediction, Network Reconstruction, Systems-Level Modeling, a Provision of Analysis Tools - EnSUITE, a Platform for Data Integration - EnCORE, and training Courses and Workshops on Systems Biology. Sponsors: The ENFIN project is funded by the European Commission within its FP6 Programme, under the thematic area Life sciences, genomics and biotechnology for health,contract number LSHG-CT-2005-518254.

• Resource
• SciCrunch
• 17 years ago - by Anonymous