Curator Dashboard

A blog produced by the NEJM publishing communications team about new and innovative content in the New England Journal of Medicine (NEJM.org). Our goal is to inform you about what''s new and provide some additional context to complement the content published in NEJM. Each week we post a piece under Insights about one of the latest research papers in NEJM, discussing its clinical significance, where it may lead us in practice and research, and often giving an editor''s thoughts about why it was important to publish. We pose questions to stimulate your thinking and discussion. The idea is to make it easy for you to give us your views on a particular topic and make the conversation accessible to other doctors and physicians-in-training. Posts contain links to the full article, which will be free to all visitors for a limited time. We also feature two posts from the Resident e-Bulletin each week, with an article summary, Clinical Pearls, and Morning Report Questions teaching points that many of you find so useful in your roles as teachers or trainees. The blog gives us a new way to distribute and store this educational information on the social web, again, inviting comment and discussion. You''ll also hear about new products and applications as we bring them out, such as new Interactive Medical Cases, or iPhone applications, like NEJM This Week and the Image Challenge. We link to videos on the NEJMvideo channel on YouTube, share our Twitter feed, and links to NEJM in the News, too. We''d like this to be an open forum, complementary to the core content of NEJM, engaging you in a new experience beyond the journal page in a more interactive community.

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• SciCrunch
• 15 years ago - by Anonymous

A web application tool which visualizes papers collected in arXiv. Users can search for papers and create an interactive graph to organize their resources. The graph shows the relationships between papers, the dates they were published, and other relevant information. Papers can be tagged and graphs can be shared with colleagues.

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• SciCrunch
• 12 years ago - submitted by Kristen Jensen

Software tool as Python GUI and wrapper for control of visual stimuli designed using Psychopy libraries.

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• RRID
• 3 years ago - by Anonymous

OBO-Edit is an open source, platform-independent application written in Java for viewing and editing any OBO format ontologies. OBO-Edit is a graph-based tool; its emphasis on the overall graph structure of an ontology provides a friendly interface for biologists, and makes OBO-Edit excellent for the rapid generation of large ontologies focusing on relationships between relatively simple classes. The UI components are cleanly separated from the data model and data adapters, so these can be reused in other applications. The oboedit foward-chaining reasoner can also be used independently (for example, for traversing ontology graphs). OBO-Edit uses the OBO format flat file. See the GO wiki, http://wiki.geneontology.org/index.php/OBO-Edit:_Getting_the_Source_Code, for instructions on downloading the source code. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

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• SciCrunch
• 15 years ago - by Anonymous

An international consortium whose goals are to enable faster comparative studies and develop tools that make analysis accessible to the wider scientific community. InterMOD is an open source data warehouse where users can query and input their own data, access analysis tools, and create their own InterMine. Five core mines make make up InterMOD: RGD, SGD ZFIN, MGI, and WormBase.

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• SciCrunch
• 12 years ago - submitted by Kristen Jensen

Core provides support with experimental design, sample preparation, acquisition, bioimage analysis and visualization.Consists of microscope systems specifically designed for fluorescence microscopy ranging from confocal, widefield to super resolution systems and helps reveal structures from macro to nanoscale.

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• SciCrunch
• 3 years ago - submitted by Edyta Vieth

Database containing cDNA clone information of the brains of songbirds. These clones are annotated with behavioral information, as well as links to information of homologous genes of other species. The database includes over 91,000 zebra finch brain cDNAs (2009) sequenced by Duke, ESTIMA, and Rockefeller research groups. The project is a collaborative effort of the Jarvis Laboratory of Duke University, Duke Bioinformatics, and The Genomics group of RIKEN, with Erich D. Jarvis as P.I. and Kazuhiro Wada as Co-P.I. Microarrays with the cDNAs in this database are available at Duke http://mgm.duke.edu/genome/dna_micro/core/spotted.htm and through the NIH Neurosciences Microarray Consortium http://arrayconsortium.tgen.org/np2/public/overview.jsp

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• SciCrunch
• 15 years ago - by Anonymous

A neuronal simulation software application used to study spinal cord neuronal network systems for muscle control. Users can investigate phenomena at several levels of organization, such as the neuronal membrane level or the whole muscle behavior level. ReMoto can be used to interpret results, validate experimental protocols, and teach neurophysiology.

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• SciCrunch
• 12 years ago - submitted by Kristen Jensen

Provides high performance scientific computing and secure storage of protected health information to both Drexel community and other universities in Philadelphia area. Data center houses Picotte cluster, which consists of Standard CPU Nodes, Large Memory Nodes, GPU Nodes and secure scratch and persistent storage.

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• SciCrunch
• 3 years ago - submitted by Edyta Vieth

Data collection of gene expression patterns mapped in whole-mount mouse embryo (ICR strain) of mid-gestational stages (Embryonic Day 9.5, 10.5, 11.5), in which most striking dynamics in pattern formation and organogenesis is observed. Collection of gene expression patterns of transcription factors (TFs) and TF-related factors such as transcription cofactors. Genes were extracted from databases including RIKEN Transcription Factor Database and Panther Classification System.

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• SciCrunch
• 14 years ago - by Anonymous

A database and storage service resource which allows users to create, view, share, and download information from companion websites. RunMyCode allows users to create companion websites for their scientific publications. Users can share and download computer code and data from companion websites made with RunMyCode. Any software and data format is compatible with RunMyCode.

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• SciCrunch
• 12 years ago - submitted by Kristen Jensen

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 12, 2017. A software tool to find peaks from ChIPSeq data generated from the Solexa/Illumina platform., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 13 years ago - by Anonymous

Implementation of a database of ionic conductance models stored in simulator-independent NeuroML format, with a parser to convert the representation into GENESIS simulation scripts. It was developed as a means of sharing channel models between different neural simulators. It is also one of the first core components of the Modelers Workspace (MWS). At present, ChannelDB is implemented as a stand-alone module, with its own graphical user interface to the database, which is implemented with MySQL. After further development, the ChannelDB GUI will be merged into the MWS. The NeuroML development kit parser (from http://www.neuroml.org/ndk.html) is used to create Java objects from the NeuroML format XML files stored in the database. These are then accessed with Java software to create simulation scripts for the particular simulator. The first implementation of a parser to create simulation scripts is for GENESIS. The files in this package will let you * Search a small remote database of ion channel models to retrieve and view their descriptions and NeuroML representations, and generate simulator scripts from the model representation. * Set up your own database of ion channel models * Extend ChannelDB with the addition of parsers for other simulators, and with Java classes to cover other types of channels.

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• SciCrunch
• 17 years ago - by Anonymous

Software homology search tool for huge short reads generated by next-generation sequencers.Can detect remote homologs like BLAST and is about 40 times more efficient than BLAST by using a GPU-computing technique.

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• SciCrunch
• 12 years ago - by Anonymous

Open source software tool to merge paired-end reads from next-generation sequencing experiments. Designed to merge pairs of reads when original DNA fragments are shorter than twice length of reads. Can improve genome assemblies and transcriptome assembly by merging RNA-seq data.

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• SciCrunch
• 13 years ago - by Anonymous

An organization that is centered around the education of younger Parkinson's disease patients as well as their families, friends and healthcare professionals. They primarily provide educational and support programs and services that are designed to help younger Parkinson's patients manage the disease and maintain a healthy lifestyle. The center provides information about treatment options, clinical trials, support groups, person to person chats, local chapters,regional referral information, and Parkinson's related events.

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• SciCrunch
• 17 years ago - by Anonymous

A python toolbox for analysis of MRI images. It relies on calls to a number of widely tested algorithms from the FMRIB software library (FSL) and the advanced normalization tools (ANTS) to provide analysis of simultaneously acquired ASL/BOLD fMRI data. It was developed for analyzing the datasets collected as part of the Cincinnati MR Imaging of NeuroDevelopment (C-MIND) project.

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• SciCrunch
• 11 years ago - submitted by Kristen Jensen

A reference-guided assembler comprising of two main modular programs: MosaikBuild and MosaikAligner. MosaikBuild converts various sequence formats into Mosaik?s native read format. MosaikAligner pairwise aligns each read to a specified series of reference sequences and produces BAMs as outputs. At this time, the workflow consists of supplying sequences in FASTA, FASTQ, Illumina Bustard & Gerald, or SRF file formats and producing results in the BAM format. Unlike many current read aligners, MOSAIK produces gapped alignments using the Smith-Waterman algorithm. MOSAIK is written in highly portable C++ and currently targetted for the following platforms: Microsoft Windows, Apple Mac OS X, FreeBSD, and Linux operating systems. Other platforms can easily be supported upon request. MOSAIK is multithreaded. If you have a machine with 8 processors, you can use all 8 processors to align reads faster while using the same memory footprint as when using one processor. MOSAIK supports multiple sequencing technologies. In addition to legacy technologies such as Sanger capillary sequencing, our program supports next generation technologies such as Roche 454, Illumina, AB SOLiD, and experimental support for the Helicos Heliscope.

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• SciCrunch
• 13 years ago - by Anonymous

A virtual database of annotations made by 50 database providers (April 2014) - and growing (see below), that map data to publication information. All NIF Data Federation sources can be part of this virtual database as long as they indicate the publications that correspond to data records. The format that NIF accepts is the PubMed Identifier, category or type of data that is being linked to, and a data record identifier. A subset of this data is passed to NCBI, as LinkOuts (links at the bottom of PubMed abstracts), however due to NCBI policies the full data records are not currently associated with PubMed records. Database providers can use this mechanism to link to other NCBI databases including gene and protein, however these are not included in the current data set at this time. (To view databases available for linking see, http://www.ncbi.nlm.nih.gov/books/NBK3807/#files.Databases_Available_for_Linking ) The categories that NIF uses have been standardized to the following types: * Resource: Registry * Resource: Software * Reagent: Plasmid * Reagent: Antibodies * Data: Clinical Trials * Data: Gene Expression * Data: Drugs * Data: Taxonomy * Data: Images * Data: Animal Model * Data: Microarray * Data: Brain connectivity * Data: Volumetric observation * Data: Value observation * Data: Activation Foci * Data: Neuronal properties * Data: Neuronal reconstruction * Data: Chemosensory receptor * Data: Electrophysiology * Data: Computational model * Data: Brain anatomy * Data: Gene annotation * Data: Disease annotation * Data: Cell Model * Data: Chemical * Data: Pathways For more information refer to Create a LinkOut file, http://neuinfo.org/nif_components/disco/interoperation.shtm Participating resources ( http://disco.neuinfo.org/webportal/discoLinkoutServiceSummary.do?id=4 ): * Addgene http://www.addgene.org/pgvec1 * Animal Imaging Database http://aidb.crbs.ucsd.edu * Antibody Registry http://www.neuinfo.org/products/antibodyregistry/ * Avian Brain Circuitry Database http://www.behav.org/abcd/abcd.php * BAMS Connectivity http://brancusi.usc.edu/ * Beta Cell Biology Consortium http://www.betacell.org/ * bioDBcore http://biodbcore.org/ * BioGRID http://thebiogrid.org/ * BioNumbers http://bionumbers.hms.harvard.edu/ * Brain Architecture Management System http://brancusi.usc.edu/bkms/ * Brede Database http://hendrix.imm.dtu.dk/services/jerne/brede/ * Cell Centered Database http://ccdb.ucsd.edu * CellML Model Repository http://www.cellml.org/models * CHEBI http://www.ebi.ac.uk/chebi/ * Clinical Trials Network (CTN) Data Share http://www.ctndatashare.org/ * Comparative Toxicogenomics Database http://ctdbase.org/ * Coriell Cell Repositories http://ccr.coriell.org/ * CRCNS - Collaborative Research in Computational Neuroscience - Data sharing http://crcns.org * Drug Related Gene Database https://confluence.crbs.ucsd.edu/display/NIF/DRG * DrugBank http://www.drugbank.ca/ * FLYBASE http://flybase.org/ * Gene Expression Omnibus http://www.ncbi.nlm.nih.gov/geo/ * Gene Ontology Tools http://www.geneontology.org/GO.tools.shtml * Gene Weaver http://www.GeneWeaver.org * GeneDB http://www.genedb.org/Homepage * Glomerular Activity Response Archive http://gara.bio.uci.edu * GO http://www.geneontology.org/ * Internet Brain Volume Database http://www.cma.mgh.harvard.edu/ibvd/ * ModelDB http://senselab.med.yale.edu/modeldb/ * Mouse Genome Informatics Transgenes ftp://ftp.informatics.jax.org/pub/reports/MGI_PhenotypicAllele.rpt * NCBI Taxonomy Browser http://www.ncbi.nlm.nih.gov/Taxonomy/taxonomyhome.html * NeuroMorpho.Org http://neuromorpho.org/neuroMorpho * NeuronDB http://senselab.med.yale.edu/neurondb * SciCrunch Registry http://neuinfo.org/nif/nifgwt.html?tab=registry * NIF Registry Automated Crawl Data http://lucene1.neuinfo.org/nif_resource/current/ * NITRC http://www.nitrc.org/ * Nuclear Receptor Signaling Atlas http://www.nursa.org * Olfactory Receptor DataBase http://senselab.med.yale.edu/ordb/ * OMIM http://omim.org * OpenfMRI http://openfmri.org * PeptideAtlas http://www.peptideatlas.org * RGD http://rgd.mcw.edu * SFARI Gene: AutDB https://gene.sfari.org/autdb/Welcome.do * SumsDB http://sumsdb.wustl.edu/sums/ * Temporal-Lobe: Hippocampal - Parahippocampal Neuroanatomy of the Rat http://www.temporal-lobe.com/ * The Cell: An Image Library http://www.cellimagelibrary.org/ * Visiome Platform http://platform.visiome.neuroinf.jp/ * WormBase http://www.wormbase.org * YPED http://medicine.yale.edu/keck/nida/yped.aspx * ZFIN http://zfin.org

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• SciCrunch
• 14 years ago - by Anonymous

A multivariate method for fMRI data analysis based on generalized canonical correlation analysis (gCCA) to maximize SPM reproducibility without adopting any model for the hemodynamic response or other temporal brain responses. For multiple subjects, gCCA explores a broad range of temporal responses in fMRI time-series space while maximizing the mean of correlation coefficients between the pair-wise spatial maps of the subjects.

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• SciCrunch
• 11 years ago - submitted by Kristen Jensen