Curator Dashboard

A scalable software pipeline for whole genome resequencing analysis.

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• SciCrunch
• 13 years ago - by Anonymous

Database of microRNA target predictions and expression profiles. Target predictions are based on a development of the miRanda algorithm which incorporates current biological knowledge on target rules and on the use of an up-to-date compendium of mammalian microRNAs. MicroRNA expression profiles are derived from a comprehensive sequencing project of a large set of mammalian tissues and cell lines of normal and disease origin. This website enables users to explore: * The set of genes that are potentially regulated by a particular microRNA. * The implied cooperativity of multiple microRNAs on a particular mRNA. * MicroRNA expression profiles in various mammalian tissues. The web resource provides users with functional information about the growing number of microRNAs and their interaction with target genes in many species and facilitates novel discoveries in microRNA gene regulation. The microRNA Target Detection Software, miRanda, is an algorithm for finding genomic targets for microRNAs. This algorithm has been written in C and is available as an open-source method under the GPL., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 17 years ago - by Anonymous

Knowledgebase of fusion transcripts collected from various public resources such as the Sanger CGP, OMIM, PubMed, and Mitelman's database. It is an alignment viewer to facilitate examining reliability of fusion transcripts and inferring functional significance., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 17 years ago - by Anonymous

A graphical viewer of phylogenetic trees and a program for producing publication-ready figures. It is designed to display summarized and annotated trees produced by BEAST.

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• SciCrunch
• 17 years ago - by Anonymous

Neuroshare aims to develop a standard for accessing neurophysiological data from any vendor's acquisition device or software. An API is defined, and vendors and communities are encouraged to provide implementations of a library of functions that can read data files collected with that vendor's instrument or software. The neuroshare.org website is a collaborative, vendor-neutral area dedicated to public domain standards and software for neurophysiology.This website is part of an SBIR program funded by the National Institute for Neural Disorders and Stroke and it is currently being administered by Bionic Technologies, LLC. The goals of the SBIR program are to (Phase I) create open library and format standards for neurophysiological experiment data and (Phase II) create a set of free, open-source software tools for low-level handling and processing of neurophysiological data. Upon completion of Phase I and II, neuroshare.org will be maintained by a yet to be determined consortium of government, academic and industry partners. The SBIR was awarded in the fall of 2001 and Phase I officially began in Dec, 2001. The detailed goals of the program are summarized below:Phase I goals :(1) Establish a working group to develop and define the API library of functions.(2) A vendor-neutral web site to facilitate the development of the standards and software and publish the completed products. This site has been dubbed Neuroshare. The home page can be found at neuroshare.sourceforge.net.(3) An open, standardized API library definition for accessing neurophysiology data files. This will allow developers to produce analysis programs that can access a variety of proprietary data formats through libraries supplied by the data format owners. The manner of support will be completely determined by the research groups and vendors that supply the libraries. The Phase I standard was created by a working group consisting of international members from industry and academia. Draft standards were published for public review and comment on the neuroshare web site and revised by the working group.The grant has been awarded as a fast-track program so that Phase II begins immediately upon completion of the Phase I milestones in June 2002. Phase II will produce :(1) A set of neuroshare-compliant API libraries for existing data formats developed in collaboration with individual equipment vendors and research groups.(2) A utility for analyzing compliant API libraries for integrity and specification conformance, as well as for error checking imported data files.(3) A set of template programs in C that are meant to be used as an example on how to create a Neuroshare API compliant library and how to call it from an application,(4) An open, standardized file format for neurophysiological experiment data. This format will provide research groups and vendors with a file format for exchanging and/or publishing neural data. The format will also be powerful enough for use as a native format for researchers or vendors that wish to support it in data acquisition hardware/software.(5) Import filters that interface neuroshare-compliant API libraries to Visual Basic, MATLAB, and LabVIEW, NeuroExplorer, and Stranger analysis environments.(6) A utility program for quick header information viewing and searching to aid the organization and management of data files in the standard and proprietary formats.(7) A data file editing program for reviewing, editing, annotating, and splicing neural data files through the neuroshare API libraries and/or standard file formats. The suite will be developed in C, optimized for speed, and will run within 32-bit Windows operating systems. The availability of source code will enable eventual ports to Unix/Linux if desired(8) An add-on for the editing program that will allow review and real-time playback of multi-modal data accessible through the API and/or standard file format. These modes will include neurophysiological signals such as spikes, local field potentials and EEG, as well as experimental signals such as kinematics, stimulation, audio, video, and imaging data.(9) C and MATLAB framework programs for detection and classification of extracellular spikes in the standard data files based on classical and user-supplied algorithms.(10) A complete MATLAB application for reading data from the standard format and performing reverse correlation analysis. This program will serve as a tutorial and modifiable template for users performing analysis in MATLAB.(11) A set of export filters for creating neurophysiological data files with the neural simulation environments NEURON, NEOSIM, GENESIS, and NSL.(12) A comprehensive documentation, and help file set for all of the developed applications.Phase II will require two years of development work and software products will be made available as they are completed. As stated above, the Phase II software products will be made available as free, open-source tools. We have not decided on a license model yet, but are currently leaning towards the GNU General Public License. Revisions and bug-fixes will be maintained through the neuroshare.org website. The mission of neuroshare.org is very focused, but the specific goal list of Phase II may evolve somewhat as software is released and user feedback is received. We very interested in public suggestions about how to improve this development effort and web site. Please direct your feedback to commentsneuroshare.org or refer to our contacts page for other addresses.BackgroundThis endeavor grew out of a meeting held at the Society for Neuroscience 2000 Annual Conference in New Orleans (agenda posted here) to discuss the development of standard data formats for neuroscience. From this meeting, it was clear that although everyone supported the idea of better data portability, many vendors present wanted a standardized API (Application Program Interface) library rather than a universal data format. Based on this meeting, we submitted an SBIR application (with letters of support from key attendants of the SFN meeting) to fund the development of a standardized API definition, data format, and a suite of open source data handling and review tools.

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• SciCrunch
• 17 years ago - by Anonymous

hiPathDB is an integrated pathway database that combines the curated human pathway data of NCI-Nature PID, Reactome, BioCarta and KEGG. In total, it includes 1661 pathways consisting of 8976 distinct physical entities. (2010.03.09) hiPathDB provides two different types of integration. The pathway-level integration, conceptually a simple collection of individual pathways, was achieved by devising an elaborate model that takes distinct features of four databases into account and subsequently reformatting all pathways in accordance with our model. The entity-level integration creates a single unified pathway that encompasses all pathways by merging common components. Even though the detailed molecular-level information such as complex formation or post-translational modifications tends to be lost, such integration makes it possible to investigate signaling network over the entire pathways and allows identification of pathway cross-talks. Another strong merit of hiPathDB is the built-in pathway visualization module that supports explorative studies of complex networks in an interactive fashion. The layout algorithm is optimized for virtually automatic visualization of the pathways.

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• SciCrunch
• 15 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software Python package that provides infrastructure to process data from high-throughput sequencing assays. While the main purpose of HTSeq is to allow you to write your own analysis scripts, customized to your needs, there are also a couple of stand-alone scripts for common tasks that can be used without any Python knowledge.

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• SciCrunch
• 13 years ago - by Anonymous

CISCRP is a resource for information on participation in, understanding of, and resources for clinical research participants and scientists. The mission of the Center is to educate, inform and empower patients, the public, medical and research professionals, the media and policymakers about clinical research participation and what it means to be an active participant in the clinical research process, promote greater awareness and understanding of clinical research participation and the role that it plays in public health, facilitate more effective collaboration among all members of the clinical research enterprise, and provide resources for the research community to better understand the study volunteer. To that end, the Center has developed a broad national awareness and education initiative in order to better inform the public at large about clinical study information. Furthermore, on its website, the Center offers program and event information related to clinical trials, an information center with facts, figures, informational resources, and FAQs for both patients and researchers, and a mailing list of clinical trial information. :The Center also maintains its own search engine website, : :searchclinicaltrials.org : : :, for those looking for further clinical trial information. The Center for Information and Study on Clinical Research Participation is located in Dedham, MA. :NIF thanks the : :Parkinson's Disease Foundation : : :for their referral of this resource to us.

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• SciCrunch
• 17 years ago - by Anonymous

The Cardiovascular Proteomics Center is a research center funded by the NIH/NHLBI to analyze and identify proteins that may be modified or created by oxidative stress. The CPC is developing and applying new proteomics methodology and instrumentation to the analysis of known proteins and those yet to be discovered.

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• SciCrunch
• 15 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Algorithm for high-dimensional biomarker discovery and explanation that identifies genes, pathways, or taxa characterizing the differences between two or more biological conditions. The algorithm identifies features that are statistically different among biological classes, then performs additional tests to assess whether these differences are consistent with respect to expected biological behavior. Statistical significance and biological relevance are emphasized., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 10 years ago - submitted by Kristen Jensen

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. The NeuroFed resource is a listing of neuroscience research funding contacts in the Federal government. It is an informal compendium (PDF) of names and contact information for nearly 300 research grant and scientific review administrators in 21 organizational units of the federal government. An electronic (PDF) version of the most recent update of this list is available on the Society for Neuroscience website at: http://www.sfn.org/index.aspx?pagename=professionalDevelopment_training. The list is updated annually by NIH personnel.

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• SciCrunch
• 17 years ago - by Anonymous

We are the Computational Biology and Bioinformatics Group of the Biosciences Division of Oak Ridge National Laboratory. We conduct genetics research and system development in genomic sequencing, computational genome analysis, and computational protein structure analysis. We provide bioinformatics and analytic services and resources to collaborators, predict prospective gene and protein models for analysis, provide user services for the general community, including computer-annotated genomes in Genome Channel. Our collaborators include the Joint Genome Institute, ORNL''s Computer Science and Mathematics Division, the Tennessee Mouse Genome Consortium, the Joint Institute for Biological Sciences, and ORNL''s Genome Science and Technology Graduate Program.

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• SciCrunch
• 15 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software tool as de novo transcriptome assembler designed to produce transcripts from short read sequencing technologies, such as Illumina, SOLiD, or 454 in the absence of any genomic assembly.

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• SciCrunch
• 13 years ago - by Anonymous

Project to assist the community in the support of information about upcoming Conferences, Workshops and Meetings. Such support may be documents, news, files, etc. To see a listing of upcoming Events, please use the NITRC Community Events Page at http://www.nitrc.org/incf/event_list.php (and tab at right). To announce an Event, please use the Submit an Event at the NITRC Community Events Page, http://www.incf.org/Events/events/createObject?type_name=Event (and tab at right). Note, INCF account is currently required. All users are encouraged to check this site for upcoming meetings, and promote future meetings here.

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• SciCrunch
• 14 years ago - by Anonymous

A segmentation software that employs the implementation of the active contours without edges level set based segmentation model. Its features include: segmentation of three-dimensional brain volumes into two or more regions (for example, regions could be WM, GM, and CSF), visualization of surfaces representing boundaries of different brain regions, and being written in Matlab with the ability to run on any platform with Matlab installed.

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• SciCrunch
• 17 years ago - by Anonymous

Tool used to design PCR primers from DNA sequence - often in high-throughput genomics applications. It does everything from mispriming libraries to sequence quality data to the generation of internal oligos.

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• SciCrunch
• 13 years ago - by Anonymous

Wiki that provides a listing (and associated links) of various formats to store and export annotations. Apparently everyone uses his own proprietary format to store and export annotations. The FDF format (or better its XML variant XFDF) is or was used by Acrobat to store form values and annotations, but third-party implementations focus on the forms-part of FDF instead of the annotations-part. * XML Forms Data Format Specification (XFDF) 2.0 (2007). * iText classes (no full FDF/XFDF implementation) ** FdfReader ** FdfWriter ** XfdfReader * The commercial software Adobe Digital Editions explicitly supports external annotations. The FAQ says Digital Editions supports bookmarks, highlights, and text notes via its bookmarks panel. These annotations are stored in an open XML format separately from publications to enable seamless annotation across PDF- and EPUB-based publications. They will set the stage for future social networking features (such as sharing annotations within a community of readers). * Okular has its own annotation exchange format, similar to PDF annotation (comparison is needed) ** internal API documentation ** There is no file format documentation, but the source code is mainly in the methods AnnotationUtils storeAnnotation and Annotation store * Xournal is open source and allows some annotation, but its PDF reading ability is very limited. It also uses its own format to store annotations * Mendeley supports annotations, which can be synced independent from the PDF files they refer to, and exported together with PDFs. There is no documentation of the API and format they use to exchange annotations. * Evernote is worth a view. But proprietary and no Linux client. * iAnnotate seems to be popular on the iPad - can it export and import annotations? In which format? There is a good article by Scott McLeod with screenshots about his use of iAnnotate and Evernote to take notes (June 15, 2010). http://blogs.edweek.org/edweek/LeaderTalk/2010/06/tools_for_school_digital_docum.html

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• SciCrunch
• 17 years ago - by Anonymous

A component of EcoliHub, EcoliWiki is a wiki-based system for finding, editing, and adding information about E. coli K-12 and other model organism strains of E. coli. EcoliWiki is being constructed to include information about bacteriophage, plasmids, and mobile genetic elements. Information should be easily accessible and correct, and users have the right to edit any information they feel is incorrect. Most of the E. coli information was initially seeded with a subset of information from parsing EcoCyc data dumps. For phage gamma and the F plasmid, Genbank accessions were converted to GFF, which was parsed into the appropriate tables. Other sources of content include: * user additions * monthly addition of annotations from EcoCyc * structural data from the PDB * domains and motif information from InterPro * various databases including EcoGene, RegulonDB, Genbank, GenoBase, ASAP * many many scientific papers EcoliWiki participates in the RefGenome project. EcoliWiki provides REST web services as part of the EcoliHub Web Services infrastructure project.

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• SciCrunch
• 16 years ago - by Anonymous

Software for genomic expression data mining using a statistical technique for finding significant genes in a set of microarray experiments.

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• SciCrunch
• 13 years ago - by Anonymous

Project to adapt model of open source software distributions to address technical limitations of data sharing and develop all components of data distribution. Builds on top of git-annex and extends it with intuitive command line interface. Enables users to operate on data using familiar concepts, such as files and directories, while transparently managing data access and authorization with underlying hosting providers. Can create DataLad datasets using any data files published on the web.

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• SciCrunch
• 13 years ago - by Anonymous