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https://github.com/vahuynh/dynGENIE3

An algorithm for the inference of gene regulatory networks from expression data.

Proper citation: GENIE3 (RRID:SCR_000217) Copy   

•   Source: SciCrunch Registry

http://bonneaulab.bio.nyu.edu/networks.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Algorithm for learning parsimonious regulatory networks from systems biology data sets de novo. Software that utilizes inference algorithm to model genetic regulatory networks.Inferelator 2.0 is scalable framework for reconstruction of dynamic regulatory network models., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Inferelator (RRID:SCR_000218) Copy   

•   Source: SciCrunch Registry

http://discover.nci.nih.gov/gominer/GoCommandWebInterface.jsp

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A web program that organizes lists of genes of interest (for example, under- and overexpressed genes from a microarray experiment) for biological interpretation in the context of the Gene Ontology and automates the analysis of multiple microarrays then integrates the results across all of them in exportable output files and visualizations. High-Throughput GoMiner is an enhancement of GoMiner and is implemented with both a command line interface and a web interface. The program can also: efficiently perform automated batch processing of an arbitrary number of microarrays; produce a human- or computer-readable report that rank-orders the multiple microarray results according to the number of significant GO categories; integrate the multiple microarray results by providing organized, global clustered image map visualizations of the relationships of significant GO categories; provide a fast form of false discovery rate multiple comparisons calculation; and provide annotations and visualizations for relating transcription factor binding sites to genes and GO categories.

Proper citation: High-Throughput GoMiner (RRID:SCR_000173) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/c3net/index.html

Software package that allows inferring gene regulatory networks with direct physical interactions from microarray expression data using C3NET.

Proper citation: c3net (RRID:SCR_000212) Copy   

•   Source: SciCrunch Registry

http://knightadrc.wustl.edu/

The Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC) supports researchers and our surrounding community in their pursuit of answers that will lead to improved diagnosis and care for persons with Alzheimer disease (AD). The Center is committed to the long-term goal of finding a way to effectively treat and prevent AD. The Knight ADRC facilitates advanced research on the clinical, genetic, neuropathological, neuroanatomical, biomedical, psychosocial, and neuropsychological aspects of Alzheimer disease, as well as other related brain disorders.

Proper citation: Washington University School of Medicine Knight Alzheimers Disease Research Center (RRID:SCR_000210) Copy   

•   Source: SciCrunch Registry

http://ccd.biocuckoo.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software package for the prediction of calpain cleavage sites.

Proper citation: GPS-Calpain Cleavage Detector (RRID:SCR_000202) Copy   

•   Source: SciCrunch Registry

http://www.themmrf.org/

Research foundation that funds research to develop new treatments for multiple myeloma, an incurable blood cancer.

Proper citation: Multiple Myeloma Research Foundation (RRID:SCR_000207) Copy   

•   Source: SciCrunch Registry

http://ribopicker.sourceforge.net/

Software to automatically identify and efficiently remove rRNA-like sequences from metatranscriptomic and metagenomic datasets.

Proper citation: riboPicker (RRID:SCR_000360) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/science/programs/genome-biology/computational-rd/computational-research-and-development

A software for genome assembly, and is specifically designed to analyze long Sanger-chemistry reads.

Proper citation: ARACHNE (RRID:SCR_000351) Copy   

•   Source: SciCrunch Registry

http://parsecnv.sourceforge.net/

Software that takes CNV calls as input and creates SNP based statistics for CNV occurrence in cases and controls then calls CNVRs based on neighboring SNPs of similar significance.

Proper citation: ParseCNV (RRID:SCR_000355) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/kinannote/

Software that identifies and classifies protein kinases in a user-provided fasta file using an HMM derived from serine / threonine protein kinases, a position specific scoring matrix derived from the HMM, and comparison with a local version of the curated kinase database from kinase.com.

Proper citation: Kinannote (RRID:SCR_000352) Copy   

•   Source: SciCrunch Registry

http://www.abrowse.org/

A genome browser framework which gives an open browsing experience, open data access, collaborative work support, and a framework to import annotations. Multiple data access approaches are supported for external platforms to retrieve data from ABrowse. This resource also contains an online user-space in which users can create, store and share comments, annotations and landmarks.

Proper citation: ABrowse (RRID:SCR_000345) Copy   

•   Source: SciCrunch Registry

http://teddy.epi.usf.edu/

International consortium of six centers assembled to participate in the development and implementation of studies to identify infectious agents, dietary factors, or other environmental agents, including psychosocial factors, that trigger type 1 diabetes in genetically susceptible people. The coordinating centers recruit and enroll subjects, obtaining informed consent from parents prior to or shortly after birth, genetic and other types of samples from neonates and parents, and prospectively following selected neonates throughout childhood or until development of islet autoimmunity or T1DM. The study tracks child diet, illnesses, allergies and other life experiences. A blood sample is taken from children every 3 months for 4 years. After 4 years, children will be seen every 6 months until the age of 15 years. Children are tested for 3 different autoantibodies. The study will compare the life experiences and blood and stool tests of the children who get autoantibodies and diabetes with some of those children who do not get autoantibodies or diabetes. In this way the study hopes to find the triggers of T1DM in children with higher risk genes.

Proper citation: TEDDY (RRID:SCR_000383) Copy   

•   Source: SciCrunch Registry

http://www.massachusetts.edu/index.html

A five-campus public university system in Massachusetts. The system includes four universities, a medical school, and a satellite campus.

Proper citation: University of Massachusetts; Massachusetts; USA (RRID:SCR_000379) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/mri_lbptop/

The packaged tools perform Local Binary Pattern on Three Orthogonal Planes (LBP-TOP) analysis on MR brain images. One can use them to extract LBP texture features for machine learning applications or other advance analysis. Bash scripts performing simple preprocessing with FSL and AFNI as well as LBP mapping programs written by Java are both including in this package. The output is the histogram describing the brain morphology.

Proper citation: Local Binary Pattern Analysis Tools for MR Brain Images (RRID:SCR_000412) Copy   

•   Source: SciCrunch Registry

http://micro-manager.org

Software package for control of automated microscopes. Cross-platform desktop application, to control motorized microscopes, scientific cameras, stages, illuminators, and other microscope accessories.

Proper citation: uManager (RRID:SCR_000415) Copy   

•   Source: SciCrunch Registry

http://www.lonza.com/

A supplier of various biochemical products for research in pharmacy and biotechnology as well as the specialty ingredients market. Examples of products include active pharmaceutical ingredients, stem cell therapies, drinking water sanitizers and agriculture services and products.

Proper citation: Lonza (RRID:SCR_000377) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/beckerjeremie/home/nucleofinder

A software for a statistical approach for the detection of nucleosome positions in a cell population. The software identifies important features of nucleosome organization such as the spacing downstream of active promoters and the enrichment and depletion of GC/AT dinucleotides of in vitro nucleosomes.

Proper citation: NucleoFinder (RRID:SCR_000368) 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://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