Curator Dashboard

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.

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• SciCrunch
• 13 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.

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• 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).

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• SciCrunch
• 16 years ago - by Anonymous

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

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• 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.

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• 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.

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• 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.

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• SciCrunch
• 14 years ago - by Anonymous

Service to create PDF and web forms.

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• SciCrunch
• 13 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.

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• 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.

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• SciCrunch
• 14 years ago - by Anonymous

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

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• 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.

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• 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.

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• SciCrunch
• 17 years ago - by Anonymous

A software package that uses next-generation sequencing data to measure human gene copy number for multiple samples, indentify SNPs tagging copy number variants and detect copy number polymorphic genomic regions.

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• SciCrunch
• 12 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 5, 2017.

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• SciCrunch
• 16 years ago - by Anonymous

Software package that implements generalized linear mixed model analysis of qRT-PCR data based on lognormal-Poisson model fitted using MCMC. Control genes are not required but can be incorporated as Bayesian priors or, when template abundances correlate with conditions, as trackers of global effects (common to all genes). Also implemented are the lognormal model for higher-abundance data and a classic model involving multi-gene normalization on a by-sample basis. Several plotting functions are included to extract and visualize results.

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• SciCrunch
• 12 years ago - by Anonymous

Software application for discovering long shared segments of Identity by Descent (IBD) between pairs of individuals in a large population. It takes as input genotype or haplotype marker data for individuals (as well as an optional known pedigree) and generates a list of all pairwise segmental sharing., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 13 years ago - by Anonymous

Software package to discover the genes that are differentially expressed between two conditions in RNA-seq experiments. Gene expression is measured in counts of transcripts and modeled with the Negative Binomial (NB) distribution using a shrinkage approach for dispersion estimation. The method of moment (MM) estimates for dispersion are shrunk towards an estimated target, which minimizes the average squared difference between the shrinkage estimates and the initial estimates. The exact per-gene probability under the NB model is calculated, and used to test the hypothesis that the expected expression of a gene in two conditions identically follow a NB distribution.

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• SciCrunch
• 13 years ago - by Anonymous

Graduate school in biomedical sciences at Kent State University with programs in neurosciences, physiology, biological anthropology, cellular molecular, and pharmacology.

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• SciCrunch
• 13 years ago - submitted by Christie Wang

eBioNews specializes in online information services and resource exchanges in the fields of life sciences and biotechnology. By applying its knowledge database and content management system (CMS), eBioNews offers readers and customers the organized and comprehensive information. eBioNews also provides a membership-based service to assist our customers in information and data search, processing, storage, and sharing. Generally, eBioNews covers the following areas: - life science frontiers - news and discussions - features and specials - resources and sourcing - career development - academic and industry - training and education Additionally, eBioNews information is organized into the following two clusters: - News Center: 1. Headlights 2. Research Frontiers 3. General Research 4. Clinical Development 5. Enterprise & Industry 6. Products & Services 7. Investment & Financials 8. Features 9. Newsletter The News Center consists of the elements and mechanisms that enable collecting, organizing, displaying, and delivering life science related information, data, and knowledge. - Resource Center: 1. eBioResources 2. Cooperation 3. Events 4. Human Resources 5. Intellectual Property 6. Finance & Legal 7. Operations 8. Organization 9. Publication The Resource Center is a system that hosts and facilitates the resource-related information between and among multiple parties, especially for promoting cooperation, collaboration, consortium, partnering, joint venture, licensing, out-sourcing, and trading. Sponsors: This resource is supported by eBioCenter Corporation.

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• SciCrunch
• 17 years ago - by Anonymous