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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

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  • RRID:SCR_006498

    This resource has 10+ mentions.

http://bioconductor.org/packages/bioc/html/GeneAnswers.html

GeneAnswers provide an integrated tool for given genes biological or medical interpretation. It includes statistical test of given genes and specified categories. Microarray techniques have been widely employed in genomic scale studies for more than one decade. The standard analysis of microarray data is to filter out a group of genes from thousands of probes by certain statistical criteria. These genes are usually called significantly differentially expressed genes. Recently, next generation sequencing (NGS) is gradually adopted to explore gene transcription, methylation, etc. Also a gene list can be obtained by NGS preliminary data analysis. However, this type of information is not enough to understand the potential linkage between identified genes and interested functions. The integrated functional and pathway analysis with gene expression data would be very helpful for researchers to interpret the relationship between the identified genes and proposed biological or medical functions and pathways. The GeneAnswers package provides an integrated solution for a group of genes and specified categories (biological or medical functions, such as Gene Ontology, Disease Ontology, KEGG, etc) to reveal the potential relationship between them by means of statistical methods, and make user-friendly network visualization to interpret the results. Besides the package has a function to combine gene expression profile and category analysis together by outputting concept-gene cross tables, keywords query on NCBI Entrez Gene and application of human based Disease ontology analysis of given genes from other species can help people to understand or discover potential connection between genes and functions. Sponsors: This project was supported in part by Award Number UL1RR025741 from the National Center for Research Resources.

Proper citation: GeneAnswers (RRID:SCR_006498) Copy   


  • RRID:SCR_006624

    This resource has 100+ mentions.

http://www.geenivaramu.ee/en/tools/gwama

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software tool for meta analysis of whole genome association data.

Proper citation: GWAMA (RRID:SCR_006624) Copy   


  • RRID:SCR_002633

    This resource has 10+ mentions.

http://jcb-dataviewer.rupress.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. A web-based, multi-dimensional image data-viewing application for original microscopy image datasets associated with articles published in The Journal of Cell Biology, a peer-reviewed journal published by The Rockefeller University Press. The JCB DataViewer can host multidimensional fluorescence microscopy images, 3D tomogram data, very large (gigapixel) images, and high content imaging screens. Images are presented in an interactive viewer, and the scores from high content screens are presented in interactive graphs with data points linked to the relevant images. The JCB DataViewer uses the Bio-Formats library to read over 120 different imaging file formats and convert them to the OME-TIFF image data standard. Image data are archived by the Journal and may be freely accessed by readers using the JCB DataViewer. Download of author-provided image data and associated metadata in OME-TIFF format is also possible with author permission, allowing for independent analysis of image data irrespective of acquisition or viewing software. Although the JCB DataViewer is designed to host and facilitate sharing and analysis of original microscopy image data, authors may also upload other types of original image data as supplements to their manuscripts, including histology and electron micrographs and digital scans of gels or blots.

Proper citation: JCB DataViewer (RRID:SCR_002633) Copy   


  • RRID:SCR_002724

    This resource has 10+ mentions.

http://sourceforge.net/projects/bio-rainbow/

Software developed to provide an ultra-fast and memory-efficient solution to clustering and assembling short reads produced by RAD-seq.

Proper citation: Rainbow (RRID:SCR_002724) Copy   


http://biohealth.snu.ac.kr/software/TRAP/

A comprehensive software package integrating all necessary tasks such as mapping short reads, measuring gene expression levels, finding differentially expressed genes (DEGs), clustering and pathway analysis for time-series data in a single environment.

Proper citation: Time-series RNA-seq Analysis Package (RRID:SCR_002935) Copy   


  • RRID:SCR_002823

    This resource has 1000+ mentions.

http://www.fmrib.ox.ac.uk/fsl/

Software library of image analysis and statistical tools for fMRI, MRI and DTI brain imaging data. Include registration, atlases, diffusion MRI tools for parameter reconstruction and probabilistic taractography, and viewer. Several brain atlases, integrated into FSLView and Featquery, allow viewing of structural and cytoarchitectonic standard space labels and probability maps for cortical and subcortical structures and white matter tracts. Includes Harvard-Oxford cortical and subcortical structural atlases, Julich histological atlas, JHU DTI-based white-matter atlases, Oxford thalamic connectivity atlas, Talairach atlas, MNI structural atlas, and Cerebellum atlas.

Proper citation: FSL (RRID:SCR_002823) Copy   


  • RRID:SCR_003006

    This resource has 1+ mentions.

http://cran.r-project.org/web/packages/gap/

GAP is designed as an integrated package for genetic data analysis of both population and family data. Currently, it contains functions for sample size calculations of both population-based and family-based designs, classic twin models, probability of familial disease aggregation, kinship calculation, some statistics in linkage analysis, and association analysis involving one or more genetic markers including haplotype analysis with or without environmental covariates.

Proper citation: Genetic Analysis Package (RRID:SCR_003006) Copy   


  • RRID:SCR_003056

    This resource has 1+ mentions.

https://code.google.com/p/sasqpcr/

All-in-one computer program for robust and rapid analysis of quantitative reverse transcription real-time polymerase chain reaction (RT-qPCR) data in SAS. It incorporates all functions important for RT-qPCR data analysis including assessment of PCR efficiencies, validation of internal reference genes and normalizers, normalization of confounding variations across samples and statistical comparisons of target gene expression in parallel samples. The program is highly automatic in data analyses and result output. The input data have no limitations for the number of genes or cDNA samples. Users can simply change the macro variables to test various analytical strategies, optimize results and customize the analytical processes. The program is also extendable allowing advanced SAS users to develop particular statistical tests appropriate for their experimental designs. Thus users are the actual decision-makers controlling RT-qPCR data analyses. The program has to be used in SAS software; however, extensive SAS programming knowledge is not required.

Proper citation: SASqPCR (RRID:SCR_003056) Copy   


  • RRID:SCR_003826

    This resource has 1+ mentions.

http://www.quretec.com/

Commercial organization that builds software for collection, management, and analysis of complex data, most typical in biomedical domain. The solutions are generic and can be used for multitude of uses and application domains.

Proper citation: Quretec (RRID:SCR_003826) Copy   


  • RRID:SCR_003918

http://www.althia.es/

A biomedical company in Spain focused on the development of new tools for diagnosis and personalized treatment of oncological diseases and precancerous. It has three areas of activity in permanent innovation: Assistance in Diagnosis / Prognosis in solid and hematological tumors, Translational Research covering the gap between basic and clinical research and advanced radiotherapy treatments based image-guided single dose (SD-IGRT). Their objectives are: * Provide an integrated tissue and tumor molecular phenotype analysis using the most advanced technologies in diagnosis, to guide the most appropriate treatment for each patient. * Discover and validate molecular patterns by molecular systems and platforms including pathology, to generate predictive algorithms through computational biology, evolution and determining the response of patients with a particular tumor profile. Althia has laboratories equipped with the most advanced equipment and technologies in Barcelona and Granada Genyo Center, with offices in Madrid.

Proper citation: Althia (RRID:SCR_003918) Copy   


http://www.alacris.de/

Commercial organization that uses next generation sequencing technologies coupled with computational modeling of tumor and somatic tissues in order to identify individualized therapies for cancer patients. The company also uses these technologies to help pharmaceutical partners stratify patients for their clinical trials. Alacris has an exclusive worldwide commercial license for the computational modeling of tumors and somatic tissues using proprietary computational systems modeling technologies ModCell developed at the Max Planck Institute for Molecular Genetics (MPI-MG) in Berlin coupled with next generation sequencing and genotyping technology developed at Harvard Medical School in Boston. The company also is building up the first next generation sequencing center in Europe for clinical operations.

Proper citation: Alacris Theranostics (RRID:SCR_003953) Copy   


  • RRID:SCR_003959

    This resource has 1+ mentions.

http://psynova.com/

Commercial organization focused on the development and exploitation of novel biomarkers for psychiatric illnesses. They provide industrial and academic partners with comprehensive biomarker discovery services in commercial and collaborative projects. They operate in the field of psychiatric disorders and their products and services are designed to excel biomarker research. In 2010, Psynova Neurotech and its partner company Rules-Based-Medicine Inc (now MyriadRBM) conducted a beta launch of a blood test aiding in the diagnosis of schizophrenia (http://www.veripsych.com/). They are now refining the test and have shifted their focus to the development of new blood-based biomarker tests that aid in the diagnosis, prognosis and differential diagnosis of schizophrenia, bipolar disorder and major depression. They offer not only their pre-selceted Multiple Reaction Monitoring (MRM) and Multiplex Immunoassay products, but also custom build panels. If they are provided with a list of analyses to evaluate, they can produce an analytical panel according to individual needs utilizing either MRM or Multiplex Immunoassay technologies., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Psynova Neurotech (RRID:SCR_003959) Copy   


  • RRID:SCR_004103

http://www.genomedics.it/

A commercial company specialized in the field of clinical governance, research and clinical-epidemiological analysis and development of services and software applications for healthcare. Products and Services * Analysis and development software solutions, web, e-learning * Design and Implementation APP for Smartphone and Tablet (iOS, Android, Windows Phone) * Clinical Intelligence & Clinical Decision Support Systems (CDSS) * Data center services and Application Server Provider * Epidemiology, Surveillance and Health Promotion - Development of studies and epidemiological research

Proper citation: Genomedics (RRID:SCR_004103) Copy   


  • RRID:SCR_004062

    This resource has 1+ mentions.

http://www.sierrasensors.com/

In 2018 Bruker acquired Sierra Sensors GmbH, based in Hamburg, Germany. Sierra develops and manufactures innovative analytical biosensors based on Surface Plasmon Resonance (SPR) detection. Driven by patented technologies in the areas of SPR detection and microfluidic sample delivery, Sierra instruments are setting a new standard in high-throughput and high-performance label-free analysis.

Proper citation: Sierra Sensors (RRID:SCR_004062) Copy   


  • RRID:SCR_004081

    This resource has 1+ mentions.

http://www.biomol-informatics.com/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 12, 2021. Technology based company in Madrid that offers consulting services on Bioinformatics in areas of research, diagnostics and pharmaceutical industry.

Proper citation: Biomol-Informatics (RRID:SCR_004081) Copy   


  • RRID:SCR_003267

    This resource has 10+ mentions.

http://www.nematodes.org/

Nematode & Neglected Genomics (at) The Blaxter Lab is a nematode related portal including databases and services. Resources include genomic and transcriptomic databases for nematodes and other metazoan phyla and freely downloadable software tools for expressed sequence tag analysis, DNA barcode analysis and phylogenomics. Major categories include: * GenePool * 959 Nematode Genomes * Teaching * Research Projects * Bioinformatics Software Tools * Lab Personnel * Lab Wiki * Genomics Databases * NEMBASE4 * Tardigrada: Hypsibius dujardini * Earthworm: Lumbricus rubellus * MolluscDB * ArthropodDB * other Neglected Genomes

Proper citation: nematodes.org (RRID:SCR_003267) Copy   


  • RRID:SCR_003201

    This resource has 1000+ mentions.

http://www.broadinstitute.org/cancer/software/genepattern

A powerful genomic analysis platform that provides access to hundreds of tools for gene expression analysis, proteomics, SNP analysis, flow cytometry, RNA-seq analysis, and common data processing tasks. A web-based interface provides easy access to these tools and allows the creation of multi-step analysis pipelines that enable reproducible in silico research.

Proper citation: GenePattern (RRID:SCR_003201) Copy   


  • RRID:SCR_003334

    This resource has 50+ mentions.

http://www.decode.com/

A biopharmaceutical company applying its discoveries in human genetics to develop drugs and diagnostics for common diseases. They specialize in gene discovery - their population approach and resources have enabled them to isolate key genes contributing to major public health challenges from cardiovascular disease to cancer. The company's genotyping capacity is now one of the highest in the world. They have a large population-based biobank containing whole blood and DNA samples with extensive relevant phenotypic information from around 120.000 Icelanders. In the company's work in more than 50 disease projects, their statistical and informatics departments have established themselves in data processing and analysis. deCODE genetics is widely recognized as a center of excellence in genetic research.

Proper citation: deCODE genetics (RRID:SCR_003334) Copy   


  • RRID:SCR_003471

    This resource has 10+ mentions.

https://code.google.com/p/bpipe/

Software tool for running and managing bioinformatics pipelines. It specializes in enabling users to turn existing pipelines based on shell scripts or command line tools into highly flexible, adaptable and maintainable workflows with a minimum of effort. Bpipe ensures that pipelines execute in a controlled and repeatable fashion and keeps audit trails and logs to ensure that experimental results are reproducible. Requiring only Java as a dependency, it is fully self-contained and cross-platform, making it very easy to adopt and deploy into existing environments.

Proper citation: Bpipe (RRID:SCR_003471) Copy   


  • RRID:SCR_003410

http://wiki.c2b2.columbia.edu/honiglab_public/index.php/Main_Page

Laboratory portal, including software, web-based tools, databases and data sets, related to their research that focuses on the development and application of biophysical and bioinformatics methods aimed at understanding the structural and energetic origins of protein-protein, protein-nucleic acid, and protein-membrane interactions. Their work includes fundamental theoretical research, the development of software tools, and applications to problems of biological importance. In this regard they maintain an active collaborative computational and experimental research program on the molecular basis of cell-cell adhesion. Other problems of current interest include protein structure prediction, the organization of protein sequence/structure space, the prediction of protein function based on protein structure, the structural origins of specificity in protein-DNA interactions, RNA function and, more generally, the electrostatic properties of biological macromolecules.

Proper citation: Honig Lab (RRID:SCR_003410) Copy   



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