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http://www.mellon.org/

The Andrew W. Mellon Foundation currently makes grants in five core program areas: * Higher Education and Scholarship * Scholarly Communications and Information Technology * Art History, Conservation, and Museums * Performing Arts * Conservation and the Environment Within each of its core programs, the Foundation concentrates most of its grantmaking in a few areas. Institutions and programs receiving support are often leaders in fields of Foundation activity, but they may also be promising newcomers, or in a position to demonstrate new ways of overcoming obstacles to achieve program goals. Our grantmaking philosophy is to build, strengthen and sustain institutions and their core capacities, rather than be a source for narrowly defined projects. As such, we develop thoughtful, long-term collaborations with grant recipients and invest sufficient funds for an extended period to accomplish the purpose at hand and achieve meaningful results.

Proper citation: Andrew W. Mellon Foundation (RRID:SCR_005864) Copy   

•   Source: SciCrunch Registry

http://simile.mit.edu/

SIMILE, a joint project conducted by the MIT Libraries and MIT CSAIL, was focused on developing robust, open source tools that empower users to access, manage, visualize and reuse digital assets. SIMILE seeks to enhance interoperability among digital assets, schemata/vocabularies/ontologies, metadata, and services. A key challenge is that the collections which must inter-operate are often distributed across individual, community, and institutional stores. We seek to be able to provide end-user services by drawing upon the assets, schemata/vocabularies/ontologies, and metadata held in such stores. SIMILE will leverage and extend DSpace, enhancing its support for arbitrary schemata and metadata, primarily though the application of RDF and semantic web techniques. The project also aims to implement a digital asset dissemination architecture based upon web standards. The dissemination architecture will provide a mechanism to add useful views to a particular digital artifact (i.e. asset, schema, or metadata instance), and bind those views to consuming services. To guide the SIMILE effort we will focus on well-defined, real-world use cases in the libraries domain. Since parallel work is underway to deploy DSpace at a number of leading research libraries, we hope that such an approach will lead to a powerful deployment channel through which the utility and readiness of semantic web tools and techniques can be compellingly demonstrated in a visible and global community. The SIMILE Project and its members are fully committed to the open source principles of software distribution and open development and for this reason, it releases the created intellectual property (both software and reports) under a BSD-style license. The SIMILE Project Team Members gladly welcome community efforts.

Proper citation: SIMILE (RRID:SCR_005862) Copy   

•   Source: SciCrunch Registry

http://www.stanford.edu/~nigam/cgi-bin/dokuwiki/doku.php?id=clench

Cluster Enrichment (CLENCH) allows A. thaliana researchers to perform automated retrieval of GO annotations from TAIR and calculate enrichment of GO terms in gene group with respect to a reference set. Before calculating enrichment, CLENCH allows mapping of the returned annotations to arbitrary coarse levels using GO slim term lists (which can be edited by the user) and a local installation of GO. Platform: Windows compatible, Linux compatible,

Proper citation: CLENCH (RRID:SCR_005735) Copy   

•   Source: SciCrunch Registry

http://www.auanet.org/content/homepage/homepage.cfm

The American Urological Association (AUA), founded in 1902, is the premier professional association for the advancement of urologic patient care, and works to ensure that its more than 18,000 members are current on the latest research and practices in urology. The AUA also pursues its mission of fostering the highest standards of urologic care by providing a wide range of servicesincluding publications, research, the Annual Meeting, continuing medical education (CME) and the formulation of health policy.

Proper citation: American Urological Association (RRID:SCR_005859) Copy   

•   Source: SciCrunch Registry

http://www.aetionomy.eu/

Consortium founded to establish mechanism-based taxonomies for Alzheimer's and Parkinson's disease and other neurodegenerative disorders (NDD), with the goal of facilitating development of more effective and targeted treatments. To do this, the consortium collects and analyzes data to: * Create new ways to combine underutilized data currently available in the literature, public databases, and from private companies * Determine how to dynamically organize and structure different types of knowledge about NDD * Determine how to apply this knowledge to construct new patient group classification * Identify correlations between disease features at molecular, tissue or organ-specific, and clinical levels * Identify sub-groups of patients based on the molecular cause of their disease, as opposed to the nature and location of their symptoms * Deliver data, tools, and recommendations for the biomedical community in the treatment of NDD A mechanism-based taxonomy is hoped to advance the: # Description and organization of the indication-specific data # Linking of data to disease models, based on causal and correlative relationships The expected outcome of AETIONOMY is a new NDD taxonomy system that distinguishes mixed pathologies, allowing for new features or classes to be added into the taxonomy, all with the goal of aiding drug and biomarker discovery.

Proper citation: AETIONOMY (RRID:SCR_000232) Copy   

•   Source: SciCrunch Registry

http://molegro-virtual-docker.software.informer.com/

An integrated platform for predicting protein-ligand interactions, the visualization of new ideas and analyzing protein targets.

Proper citation: Molegro Virtual Docker (RRID:SCR_000190) Copy   

•   Source: SciCrunch Registry

http://www.zju.edu.cn/english/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A public research university with twelve main academic disciplines that include science, engineering, agriculture and medicine. The university has campuses across China in locations such as Yuquan, Zhijiang and Zhoushan. It has studies available in undergraduate, graduate and post-doctorate degrees.

Proper citation: Zhejiang University; Zhejiang; China (RRID:SCR_000224) Copy   

•   Source: SciCrunch Registry

http://www.paradyn.org/mrnet/

A software-based network that provides efficient multicast and reduction communications for parallel and distributed tools and systems. Some key features of this resource include scalable data aggregation, multiple concurrent data channels and high-bandwidth communication.

Proper citation: MRNet (RRID:SCR_000225) Copy   

•   Source: SciCrunch Registry

http://deweylab.biostat.wisc.edu/rsem/

Software package for quantifying gene and isoform abundances from single end or paired end RNA Seq data. Accurate transcript quantification from RNA Seq data with or without reference genome. Used for accurate quantification of gene and isoform expression from RNA-Seq data.

Proper citation: RSEM (RRID:SCR_000262) Copy   

•   Source: SciCrunch Registry

http://www.tcd.ie/

A public university, which is a part of the University of Dublin, and contains three main academic disciplines: Arts, Humanities and Social Sciences; Engineering, Mathematics and Sciences; and Health Sciences. The institution offers degrees at the undergraduate and graduate level.

Proper citation: Trinity College Dublin; Dublin; Ireland (RRID:SCR_000261) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/ms-spectre/

Software that provides (Quantitiave) analysis of multiple ls-ms(ms) runs, using mzXML import of raw data coming from spectrometers.

Proper citation: MS-Spectre (RRID:SCR_000266) Copy   

•   Source: SciCrunch Registry

https://www.gov.pl/web/science

Polish governmental agency that administers governmental activities in science and higher education. Funding is provided by the state for scientific research.

Proper citation: Polish Ministry of Science and Higher Education (RRID:SCR_000251) Copy   

•   Source: SciCrunch Registry

http://www.upc.edu/?set_language=en

A public research university in Spain which specializes in the fields of architecture, engineering and technology at the undergraduate, graduate and postdoctoral level. UPC focuses heavily on internationalization, this is demonstrated through their large population of international PhD and master's degree students. They are a member of the Top Industrial Managers for Europe network and several university federations, including the Conference of European Schools for Advanced Engineering Education and Research (CESAER).

Proper citation: Polytechnic University of Catalonia; Barcelona; Spain (RRID:SCR_000252) Copy   

•   Source: SciCrunch Registry

http://saweb2.sabiosciences.com/manuals/GEArrayBrochure.pdf

THIS RESOURCE HAS BEEN DISCONTINUED, documented April 15, 2016. New GEArray Expression Analysis Suite 2.0 was released at Dec 21, 2006, please read Release Notices for details. SABiosciences' GEArray Analysis Suite uses advanced Java functionality. In order to experience full functionality of this Portal, the following free programs and upgrades for PC and Macs should be properly installed. PC Environment Downloads Browser compatibility is not an issue on Windows systems, so all operating systems running Windows 98 and above and either Internet explorer or Netscape should be fine. Java 1.4.1 or above is required--this should download automatically upon the first entry into the Portal. If this does not happen, Java 1.5 is available for download from the following URL: Java 1.5 Mac Environment Downloads Browser compatibility is an issue, and Mac Operating Systems prior to Panther are not able to fully take advantage of this Portal's functionality. These programs need to be downloaded and installed in a specific order as follows: Panther 10.3.5 (Operating System), Safari 1.2 (Compatible Internet Browser) and Java 1.4.2 (Java environment). Abstract. INTRODUCTION: Toll-like receptors (TLR) comprehend an emerging family of receptors that recognize pathogen-associated molecular patterns and promote the activation of leukocytes. Surgical trauma and ischemia-reperfusion injury are likely to provide exposure to endogenous ligands for TLR in virtually all kidney transplant recipients. METHODS: Macroarray (GEArray OHS-018.2 Series-Superarray) analyses of 128 genes involved in TLR signaling pathway were performed in nephrectomy samples of patients with chronic allograft nephropathy (CAN) and acute rejection (AR, vascular and non vascular). The analysis of each membrane was performed by GEArray Expression Analysis Suite 2.0. RESULTS: Macroarray profile identified a gene expression signature that could discriminate CAN and AR. Three genes were significantly expressed between CAN and vascular AR: Pellino 2; IL 8 and UBE2V1. In relation to vascular and non-vascular AR, there were only two genes with statistical significance: IL-6 and IRAK-3. CONCLUSION: Vascular and non-vascular AR and CAN showed different expression of a few genes in TLR pathway. The analysis of nephrectomy showed that activation of TLR pathway is present in AR and CAN. Sponsor. This work was supported by the inconditional grant from Fundao de Amparo a Pesquisa do Estado de So Paulo (FAPESP, 04/08311-6), from Conselho Nacional de Pesquisa e Desenvolvimento (CNPq) and from Fundao Osvaldo Ramos.

Proper citation: GEArray Expression Analysis Suite 2.0 (RRID:SCR_000282) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/gmato/files/?source=navbar

A software tool used for simple sequence repeats (SSR) or microsatellite characterization. It also facilitates SSR marker design on a genomic scale, microsatellite mining at any length, and comprehensive statistical analysis for DNA sequences in any genome at any size. Analysis parameters are customizable.

Proper citation: GMATo (RRID:SCR_000165) Copy   

•   Source: SciCrunch Registry

http://proteinprophet.sourceforge.net/

Software that automatically validates protein identifications made on the basis of peptides assigned to MS/MS spectra by database search programs such as SEQUEST.

Proper citation: ProteinProphet (RRID:SCR_000286) Copy   

•   Source: SciCrunch Registry

http://www.incf.org/resources/data-space/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented August 21, 2017.

Repository for sharing of neuroscience data, text, images, sounds, movies, models and simulations.

Proper citation: INCF Dataspace (RRID:SCR_000158) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/release/bioc/html/DESeq.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30,2023. Software for differential gene expression analysis based on the negative binomial distribution. It estimates variance-mean dependence in count data from high-throughput sequencing assays and tests for differential expression.

Proper citation: DESeq (RRID:SCR_000154) Copy   

•   Source: SciCrunch Registry

https://github.com/davidliwei/RNASeqReadSimulator

A software tool to generate simulated single-end or paired-end RNA-Seq reads. # It allows users to randomly assign expression levels of transcripts and generate simulated single-end or paired-end RNA-Seq reads. # It is able to generate RNA-Seq reads that have a specified positional bias profile. # It is able to simulate random read errors from sequencing platforms. # The simulator consists of a few simple Python scripts. All scripts are command line driven, allowing users to invoke and design more functions.

Proper citation: RNASeqReadSimulator (RRID:SCR_000270) Copy   

•   Source: SciCrunch Registry

https://www.schrodinger.com/glide

Software package which approximates a complete search of the conformational, orientational, and positional space of the ligand in a given receptor. Used in drug development for predicting protein ligand binding modes and ranking ligands via high throughput virtual screening.

Proper citation: Glide (RRID:SCR_000187) Copy   

•   Source: SciCrunch Registry