Curator Dashboard

Software metadata ingestion platform that helps to improve quality of metadata. Station allows users to record meta-data according to minimum information standards thereby ensuring FAIR scientific data management from the start.

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• RRID
• 4 years ago - submitted by jasper Koehorst

FunTree provides a range of data resources to detect the evolution of enzyme function within distant structurally related clusters within domain super families as determined by CATH. To access the resource enter a specific CATH superfamily code or search for a structure / sequence / function (either via a EC code or KEGG ligand / reaction ID, PDB ID or UniProtKB ID). Or browse the resource via superfamily / function / structure / metabolites & reactions via the menu on the left panel. FunTree is a new resource that brings together sequence, structure, phylogenetic, chemical and mechanistic information for structurally defined enzyme superfamilies. Gathering together this range of data into a single resource allows the investigation of how novel enzyme functions have evolved within a structurally defined superfamily as well as providing a means to analyse trends across many superfamilies. This is done not only within the context of an enzyme''''s sequence and structure but also the relationships of their reactions. Developed in tandem with the CATH database, it currently comprises 276 superfamilies covering 1800 (70%) of sequence assigned enzyme reactions. Central to the resource are phylogenetic trees generated from structurally informed multiple sequence alignments using both domain structural alignments supplemented with domain sequences and whole sequence alignments based on commonality of multi-domain architectures. These trees are decorated with functional annotations such as metabolite similarity as well as annotations from manually curated resources such the catalytic site atlas and MACiE for enzyme mechanisms.

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• SciCrunch
• 15 years ago - by Anonymous

Software providing de novo, parallel, paired-end sequence assembler that is designed for short reads. ABySS 1.0 originally showed that assembling human genome using short 50 bp sequencing reads was possible by aggregating half terabyte of compute memory needed over several computers using standardized message passing system. ABySS 2.0 is Resource Efficient Assembly of Large Genomes using Bloom Filter. ABySS 2.0 departs from MPI and instead implements algorithms that employ Bloom filter, probabilistic data structure, to represent de Bruijn graph and reduce memory requirements.

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• SciCrunch
• 13 years ago - by Anonymous

Bio-Job.org is a sister site to PROTOCOL-ONLINE.ORG and offers free job posting to not-for-profit employers such as universities, governments, research institutions/organizations. Currently industrial job listing is also free. * Employer's Services: Post a Job, Manage Jobs Posts, View Resumes * Jobseeker: Announce your availability and submit your resume to hundreds of Employers that visit this site. Employers can contact you directly as soon as a suitable position becomes available. Why is this site created: It's never been an easy job to recruit qualified people for employer or PI who runs a lab--Not only have you to pay a fee for job listing that could be as high as hundreds of dollars, you have to go through all the hassle of setting up an account, dealing with your account manager and making the payment. In an era when science is free, genome data is free, publications are free, and why is job posting not free? With this belief in mind, we created this site to allow free job posting for academia. What types of jobs can be posted here: Jobs in any scientific discipline and biotech jobs can be posted.

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• SciCrunch
• 16 years ago - by Anonymous

ProRepeat is an integrated curated repository and analysis platform for in-depth research on the biological characteristics of amino acid tandem repeats. ProRepeat collects repeats from all proteins included in the UniProt knowledgebase, together with 85 completely sequenced eukaryotic proteomes contained within the RefSeq collection. It contains non-redundant perfect tandem repeats, approximate tandem repeats and simple, low-complexity sequences, covering the majority of the amino acid tandem repeat patterns found in proteins. The ProRepeat web interface allows querying the repeat database using repeat characteristics like repeat unit and length, number of repetitions of the repeat unit and position of the repeat in the protein. Users can also search for repeats by the characteristics of repeat containing proteins, such as entry ID, protein description, sequence length, gene name and taxon. ProRepeat offers powerful analysis tools for finding biological interesting properties of repeats, such as the strong position bias of leucine repeats in the N-terminus of eukaryotic protein sequences, the differences of repeat abundance among proteomes, the functional classification of repeat containing proteins and GC content constrains of repeats' corresponding codons.

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• SciCrunch
• 15 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Free genome browser and annotation tool that allows visualization of sequence features, next generation data and the results of analyses within the context of the sequence, and also its six-frame translation. Artemis is free software and is distributed under the terms of the GNU General Public License. Artemis is written in Java, and is available for UNIX, Macintosh and Windows systems. It can read EMBL and GENBANK database entries or sequence in FASTA, indexed FASTA or raw format. Other sequence features can be in EMBL, GENBANK or GFF format.

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• SciCrunch
• 16 years ago - by Anonymous

An open XML-based language used to describe the formatting of citations and bibliographies. CSL has become the standard way to add citation support to software.

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• SciCrunch
• 13 years ago - by Anonymous

A computer software that utilizes an initial definition of transmembrane segments to predict the topology of transmembrane proteins from their sequence. It uses position-specific statistical information for amino acid residues which belong to putative non-transmembrane segments derived from a statistical analysis of non-transmembrane regions of membrane proteins stored in the SwissProt database. Its accuracy compares well with that of other popular existing methods.

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• SciCrunch
• 15 years ago - by Anonymous

Software tool for indexing and retrieval of nucleotide sequences from FASTA (DNA and protein sequence alignment software) record databases. It has the option to compress data records.

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• SciCrunch
• 9 years ago - submitted by Isabella Froman

The mission of AIDS.ORG is to help prevent HIV infections and to improve the lives of those affected by HIV and AIDS by providing education and facilitating the free and open exchange of knowledge at an easy-to-find centralized website. AIDS.ORG makes access to important AIDS information easier and faster. We provide prevention, testing, and treatment information currently to well over 4 million people a year. AIDS.ORG has been awarded the Health on the Net Foundation Code of Conduct (HONcode) seal for reliability and credibility of information in the field of healthcare. Additionally, every year over 2.4 million young people under the age of 25 turn to AIDS.ORG, making us an important resource since over 50% of all new HIV infections in the USA occur in this age group. AIDS.ORG, Inc. is a nonprofit 501(c) (3) educational organization, and maintains a very strict privacy policy. We make it our goal to be the best starting point for someone looking for AIDS information on the Internet. Our intent is that users be directed to the best information on the topic they''re investigating. We bring people together to share knowledge and experiences. In the past, we also provided the very first Internet-based program of accredited AIDS education for medical professionals, allowing doctors in rural and isolated areas to better serve AIDS patients.

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• SciCrunch
• 15 years ago - by Anonymous

This genomic tRNA database contains tRNA gene predictions made by the program tRNAscan-SE (Lowe & Eddy, Nucl Acids Res 25: 955-964, 1997) on complete or nearly complete genomes. Unless otherwise noted, all annotation is automated, and has not been inspected for agreement with published literature. Transfer RNAs (tRNAs) represent the single largest, best-understood class of non-protein coding RNA genes found in all living organisms. By far, the major source of new tRNAs is computational identification of genes within newly sequenced genomes. To organize the rapidly growing collection and enable systematic analyses, we created the Genomic tRNA Database (GtRNAdb). The web resource provides overview statistics of tRNA genes within each analyzed genome, including information by isotype and genetic locus, easily downloadable primary sequences, graphical secondary structures and multiple sequence alignments. Direct links for each gene to UCSC eukaryotic and microbial genome browsers provide graphical display of tRNA genes in the context of all other local genetic information. The database can be searched by primary sequence similarity, tRNA characteristics or phylogenetic group. Inevitably with automated sequence analysis, we find exceptions to general identification rules, isoacceptor type predictions (esp. due to variable post-transcriptional anticodon modification), and questionable tRNA identifications (due to pseudogenes, SINES, or other tRNA-derived elements). We attempt to document all cases we come across, and welcome feedback on new or unrecognized discrepancies.

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• SciCrunch
• 15 years ago - by Anonymous

Software that performs sequence alignment for protein and translated DNA searches and functions. Used for high performance analysis of big sequence data, protein-protein search, and DNA-protein search.

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• SciCrunch
• 9 years ago - submitted by Isabella Froman

A curated knowledge base of the circuitry of the hippocampus of normal adult, or adolescent, rodents at the mesoscopic level of neuronal types. Knowledge concerning dentate gyrus, CA3, CA2, CA1, subiculum, and entorhinal cortex is distilled from published evidence and is continuously updated as new information becomes available. Each reported neuronal property is documented with a pointer to, and excerpt from, relevant published evidence, such as citation quotes or illustrations. Please note: This is an alpha-testing site. The content is still being vetted for accuracy and has not yet undergone peer-review. As such, it may contain inaccuracies and should not (yet) be trusted as a scholarly resource. The content does not yet appear uniformly across all combinations of browsers and screen resolutions.

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• SciCrunch
• 14 years ago - by Anonymous

Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light.

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• SciCrunch
• 17 years ago - by Anonymous

Software application as a single-core implementation of frequency-based substring mining. It can be used in bioinformatics to extract substrings that discriminate two (or more) datasets inside high-throughput sequencing data.

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• SciCrunch
• 9 years ago - submitted by Isabella Froman

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. The Annotator is an open-source JavaScript library and tool that can be added to any webpage to make it annotatable. Annotations can have comments, tags, users and more. Moreover, the Annotator is designed for easy extensibility so its a cinch to add a new feature or behavior. Adding annotation to your webpage using the Annotator is easy. Full instructions are in the Getting Started section of the docs, but it is just two short steps. First, you need to download the Annotator library (or link to the hosted version), include it on your page along with jQuery. Then add the following line to initialize the annotator. $("#content").annotator(); Plug-ins can be included for adding functionality such as user accounts, tags, filtering and formatting. You'll need to store your data somewhere, luckily we've made this very simple to do using AnnotateIt, a hosted web service for storing annotations. Alternatively if you'd like to integrate the annotator with your own storage system check out the Docs for more information on the annotation format and store plugin. The bookmarklet is a simple tool that allows you to add the annotator to any webpage and save your annotations to AnnotateIt. Check it out at http://annotateit.org/.

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• SciCrunch
• 15 years ago - by Anonymous

Java library and a web service for extracting metadata and content from scientific articles in born-digital form. The system analyses the entire content of a PDF file containing a publication and attempts to extract information such as: the title of the article, journal information (title, etc.), bibliographic information (volume, issue, page numbers, etc.), authors and affiliations, keywords, abstract, bibliographic references and structured sections hierarchy.

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• SciCrunch
• 14 years ago - by Anonymous

A fast and accurate multiple sequence alignment algorithm.

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• SciCrunch
• 13 years ago - by Anonymous

A database that focuses on experimentally verified protein-protein interactions mined from the scientific literature by expert curators. The curated data can be analyzed in the context of the high throughput data and viewed graphically with the MINT Viewer. This collection of molecular interaction databases can be used to search for, analyze and graphically display molecular interaction networks and pathways from a wide variety of species. MINT is comprised of separate database components. HomoMINT, is an inferred human protein interatction database. Domino, is database of domain peptide interactions. VirusMINT explores the interactions of viral proteins with human proteins. The MINT connect viewer allows you to enter a list of proteins (e.g. proteins in a pathway) to retrieve, display and download a network with all the interactions connecting them.

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• SciCrunch
• 15 years ago - by Anonymous

Biomedicine can only be understood in the context of genomics and with the concourse of bioinformatics. Our department aims to tackle biomedical problems from a system's biology perspective. Following this, the general objective we seek through the main lines of research is to relate the mutations (Pharmacogenomics and Comparative Genomics) to their effect at cellular and phenotypic level (Functional Genomics) trying to understand the mechanism of action (Structural Genomics). Systems Biology Genes operate within an intricate network of interactions that we have only recently started to envisage. Many higher-order levels of interaction are continuously being discovered. In this scenario we are interested in developing methods and tools which can help to understand large-scale experiments from a systems biology perspective. Comparative genomics We are interested in the analysis of patterns and processes occurred during the evolution of our genome, and in the application of the evolutionary thought in human health and disease. * Adaptive Human Evolution * Evolutionary Pharmacogenetics * SNP's and Human Disease Structural genomics Our Unit aims to develop and apply computational methods for understanding the molecular mechanisms of cell regulation beyond proteins. In particular, we apply our methods to study the interaction of small chemical compounds with proteins and to characterize their molecular actions. We are also developing methods for RNA 3D structure prediction with the aim of applying them to understand the effects of non-coding RNA molecules. Finally, in collaboration with experimentalists, we are working in determining the first ever 3D structure of a genomic domain in human.

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• SciCrunch
• 15 years ago - by Anonymous