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http://www.bioconductor.org/packages/release/bioc/html/aroma.light.html

Light-weight software package for normalization and visualization of microarray data using only basic R data types. Software can be used standalone, be utilized in other packages, or be wrapped up in higher-level classes.

Proper citation: aroma.light (RRID:SCR_001312) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.13/bioc/html/BeadDataPackR.html

Software that provides functionality for the compression and decompression of raw bead-level data from the Illumina BeadArray platform.

Proper citation: BeadDataPackR (RRID:SCR_001310) Copy   

•   Source: SciCrunch Registry

https://www.bioconductor.org/packages/release/bioc/html/OLIN.html

Software functions for normalization of two-color microarrays by optimised local regression and for detection of artifacts in microarray data.

Proper citation: OLIN (RRID:SCR_001304) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/qcmetrics.html

Software package that provides a framework for generic quality control of data. It permits to create, manage and visualise individual or sets of quality control metrics and generate quality control reports in various formats.

Proper citation: qcmetrics (RRID:SCR_001303) Copy   

•   Source: SciCrunch Registry

https://www.bioconductor.org/packages//2.12/bioc/html/dexus.html

Software package that identifies differentially expressed genes in RNA-Seq data under all possible study designs such as studies without replicates, without sample groups, and with unknown conditions. It works also for known conditions, for example for RNA-Seq data with two or multiple conditions. RNA-Seq read count data can be provided both by the S4 class Count Data Set and by read count matrices. Differentially expressed transcripts can be visualized by heatmaps, in which unknown conditions, replicates, and samples groups are also indicated. This software is fast since the core algorithm is written in C. For very large data sets, a parallel version of DEXUS is provided in this package. DEXUS is a statistical model that is selected in a Bayesian framework by an EM algorithm. It does not need replicates to detect differentially expressed transcripts, since the replicates (or conditions) are estimated by the EM method for each transcript. The method provides an informative/non-informative value to extract differentially expressed transcripts at a desired significance level or power.

Proper citation: DEXUS (RRID:SCR_001309) Copy   

•   Source: SciCrunch Registry

http://www.jcu.edu.au/

Public university in Townsville, Australia that functions as a research and teaching institution. Some well-known divisions of the university include the division of Tropical Environments and Societies, Tropical Health and Medicine, and Research and Innovation.

Proper citation: James Cook University; Townsville; Australia (RRID:SCR_001420) Copy   

•   Source: SciCrunch Registry

https://cismm.web.unc.edu/

Biomedical technology research center that develops force technologies applicable over a wide range of biological settings, from the single molecule to the tissue, with integrated systems that orchestrate facile instrument control, multimodal imaging, and analysis through visualization and modeling. The Force Microscope Technologies Core designs instruments in an area of science where there are unusual opportunities: the measurement of forces and the integration with optical microscopy. Force technologies play the obvious role of both measuring events in the sample and modifying the sample during the experiment. It is through the microscope that the force data is correlated with simultaneous 3D optical images. The force technology development includes the magnetic bead technology in the 3D Force Microscope project, Atomic Force Microscopy in the nanoManipulator project, and Control Software to drive the instrumentation. This core is focused on providing the physical capability to perform the experiments and probe structure/property correlations. The Ideal User Interfaces core makes the connection between the user and the instrument, the model building, and the data. This includes control systems that allow the user to move the bead inside the cell culture with a handheld pen and the visualization techniques to view the optical microscope data as a rendered 3D image collocated with the force data. Using data to create, change, and understand a model is the focus of the Advanced Model Fitting and Analysis core. The quantitative reduction of images to structural, shape, and velocity parameters is the goal of Image Analysis. The immediate understanding of correlations across image fields and between data sets in the challenge of Visualization. The power of combining the strength of a computer science graphics group with a microscopy technology group is most evident in the Graphics Hardware Acceleration project, which seeks to harness the speed of graphics processors for microscope data analysis and simulation. The Advanced Technology core pushes the boundaries of the Human Computer Interface through the investigation of improved techniques for the interaction of users with virtual environments, the real time lighting of virtual settings, and the enabling of multi-person collaboration. These techniques are validated and evaluated through physiological measures in virtual environments effectiveness evaluation studies.

Proper citation: Computer Integrated Systems for Microscopy and Manipulation (RRID:SCR_001413) Copy   

•   Source: SciCrunch Registry

http://octresearch.org/

Biomedical technology research center that pioneers and provides access to microscopic imaging instruments for biologic and clinical research. Optical coherence tomography (OCT) has evolved over the last two decades to become a standard of care for diagnostic ophthalmic imaging and is poised to make significant impact in the fields of cardiology and gastrointestinal endoscopy. Access to state-of-the-art instrumentation, however, has been limited to a relatively few research laboratories and the optimization of instruments for new biomedical applications has hindered the investigation of new opportunities. A major focus of CBORT will be to cultivate strategic research collaborations and respond to a pressing need for application-specific OCT instrumentation and hardware.

Proper citation: Center for Biomedical OCT Research (RRID:SCR_001418) Copy   

•   Source: SciCrunch Registry

http://www.biomemsrc.org/

Biomedical technology research center that provides biomedical investigators with novel microsystems engineering tools for biological discovery, diagnostic, prognostic, and therapeutic applications. Thrust areas of interest are the development of novel living cell-based, lab-on-a-chip type devices for sorting blood cells, for high-throughput biochemistry in small volumes, and for studying cellular behavior in controlled microenvironments.

Proper citation: BioMEMS Resource Center (RRID:SCR_001417) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/dical-ibd/

Software tool for detecting identity-by-descent (IBD) tracts between pairs of genomic sequences.

Proper citation: diCal-IBD (RRID:SCR_012111) Copy   

•   Source: SciCrunch Registry

http://goldenhelix.com/

Specializes in sequence and array-based SNP and copy number analysis, genetic association software, and analytic services. Their technologies empower scientists to determine the genetic causes of disease, transform drug discovery, develop genetic diagnostics, and advance the quest for personalized medicine.

Proper citation: Golden Helix Incorporated (RRID:SCR_012191) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/ionwinze/

Software tool to pick out ion signals that discriminate two groups of samples (e.g. diseased/healthy, resistant/susceptible) by quasi-datapoint-wise comparison using univariate statistic procedures.

Proper citation: Ionwinze (RRID:SCR_012115) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/genosight/

An adaptive imaging cytometry software environment.

Proper citation: GenoSIGHT (RRID:SCR_012119) Copy   

•   Source: SciCrunch Registry

https://github.com/stoeckli/MSImageViewer

Software for the conversion of data acquired with the FlashQuant (MALDI version of ABSciex 4000) into MS images.

Proper citation: MSImageViewer (RRID:SCR_012121) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/cell-motility/

An open source Java application that provides a clear and concise analysis workbench for large amounts of cell motion data.

Proper citation: Cell motility (RRID:SCR_012120) Copy   

•   Source: SciCrunch Registry

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

An intuitive and flexible software tool for building and displaying glycan structures.

Proper citation: GlycanBuilder (RRID:SCR_012123) Copy   

•   Source: SciCrunch Registry

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

A software package for automated recognition of glycans from LC/MS data.

Proper citation: GlycReSoft (RRID:SCR_012122) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/isdtool/files/ISDTool-2.0/

Software that implements a computational model for predicting immunosuppressive domains (ISDs). The software could be used to identify typical ISDs in retroviruses including HERV, HTLV, HIV, STLV, SIV and MLV.

Proper citation: ISDTool (RRID:SCR_012125) Copy   

•   Source: SciCrunch Registry

http://mohfw.nic.in/

Proper citation: Ministry of Health and Family Welfare - Government of India (RRID:SCR_012124) Copy   

•   Source: SciCrunch Registry

http://www.uwa.edu.au/

Public research university in the Australian state of Western Australia. The university's main campus is in Perth, the state capital, with a secondary campus in Albany and various other facilities elsewhere.

Proper citation: University of Western Australia; Perth; Australia (RRID:SCR_012342) Copy   

•   Source: SciCrunch Registry