Tools   Select Another Resource Report Type

http://www.mrc-cbu.cam.ac.uk/methods-and-resources/toolboxes/license/

Software Matlab toolbox to perform representational similarity analysis for neural data.

Proper citation: Toolbox for Representational Similarity Analysis (RRID:SCR_019029) Copy   

•   Source: SciCrunch Registry

https://zhanglab.c2b2.columbia.edu/index.php/CTK_Documentation

Software package that provides set of tools for analysis of CLIP data starting from raw reads generated by sequencer.

Proper citation: CLIP Tool Kit (RRID:SCR_019034) Copy   

•   Source: SciCrunch Registry

https://github.com/najasplus/hetindel_shinyapp

Software package to identify genomic insertions or deletions, so called indels, in heterozygous sequencing data where both alleles carry mutations. Used to analyze heterozygous indels.

Proper citation: Hetindel (RRID:SCR_018922) Copy   

•   Source: SciCrunch Registry

http://www.imb.sinica.edu.tw/core/publicfacilities/pdf/LAS-1000plus_om_e_ver2.pdf

A software which is used to control the LAS-1000plus luminescent image analyzer. This software adjusts the focus, exposure time, sensitivity, and cooling temperature, and will record the data after the sample is scanned.

Proper citation: Image Reader LAS-1000 (RRID:SCR_014585) Copy   

•   Source: SciCrunch Registry

http://cerebrovascularportal.org

Portal enables browsing, searching, and analysis of human genetic information linked to cerebrovascular disease and related traits, while protecting the integrity and confidentiality of the underlying data.

Proper citation: Cerebrovascular Disease Knowledge Portal (RRID:SCR_015628) Copy   

•   Source: SciCrunch Registry

http://shiny.chemgrid.org/boxplotr/

Web tool written in R for generation of box plots with R packages shiny, beanplot4, vioplot, beeswarm and RColorBrewer, and hosted on shiny server to allow for interactive data analysis. Data are held temporarily and discarded as soon as session terminates.Represents both summary statistics and distribution of primary data. Enables visualization of minimum, lower quartile, median, upper quartile and maximum of any data set.Data matrix can be uploaded as file or pasted into application. May be downloaded to run locally or as virtual machine for VMware and VirtualBox.

Proper citation: BoxPlotR (RRID:SCR_015629) Copy   

•   Source: SciCrunch Registry

http://sharedresources.fredhutch.org/core-facilities/bioinformatics

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 27,2022. Core provides bioinformatics specialists available to assist researchers with processing, exploring, and understanding genomics data.

Proper citation: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Bioinformatics Resource (RRID:SCR_015324) Copy   

•   Source: SciCrunch Registry

http://noble.gs.washington.edu/proj/genomedata/

A format for efficient storage of multiple tracks of numeric data anchored to a genome. The format allows fast random access to hundreds of gigabytes of data, while retaining a small disk space footprint. They have also developed utilities to load data into this format. Retrieving data from this format is more than 2900 times faster than a naive approach using wiggle files. A reference implementation in Python and C components is available here under the GNU General Public License. The software has only been tested on Linux and Mac systems.

Proper citation: Genomedata (RRID:SCR_004544) Copy   

•   Source: SciCrunch Registry

http://harvard.eagle-i.net/i/0000012a-2518-fb6c-5617-794280000000

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27, 2023. Core provides services: RT PCR service, Gene expression profiling service, Proteomics analysis service, Bioinformatics and Systems Biology analyses, Next Generation Sequencing Service, Affymetrix Human and Mouse Gene 2.0 ST Arrays and 2.1 ST Arrayplates. Core proteomics facility for the Dana-Farber/Harvard Cancer Center. Workflows and algorithms for analysis of next-generation sequencing data including RNA-Seq, ChIP-Seq, Epigenetics-Seq and DNA seq, Comprehensive workflow for analysis of Microbiome sequencing data, Integrated systems biology analysis of transcriptome, miRNA, epigenome, metabolomics and proteomics data. Pipelines: MALDI Tissue imaging and targeted quantitative proteomics.

Proper citation: Beth Israel Deaconess Medical Center Genomics Proteomics Bioinformatics and Systems Biology Center (RRID:SCR_009668) Copy   

•   Source: SciCrunch Registry

http://montana.eagle-i.net/i/0000012b-00be-4e65-df3b-3fdc80000000

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27, 2023. Core for Microarray analysis, Database development, Systems biology analysis, Genome assembly, Pathway data analysis, Expression data analysis, Metagenomics analysis. To maintain equipment and software for bioinformatic research, promote bioinformatics education on the MSU campus, and provide training and support to biologists implementing bioinformatics tools in their research.

Proper citation: Montana State University Bioinformatics Core Facility (RRID:SCR_009937) Copy   

•   Source: SciCrunch Registry

http://imlspenticton.uzh.ch:3838/CATALYSTLite/

Software tool as interactive Shiny web application that provides user interface to mass cytometry data processing pipeline implemented in CATALYST R Bioconductor package.

Proper citation: CATALYSTLite (RRID:SCR_017126) Copy   

•   Source: SciCrunch Registry

https://git.integromics.fr/published/predomics

Software package for metagenomics data. Discovers accurate predictive signatures and provides unprecedented interpretability. Package contains three methods for suppervised learning based on ternary coefficients. Used to discover classification models for quantitative metagenomics data.

Proper citation: Predomics (RRID:SCR_017415) Copy   

•   Source: SciCrunch Registry

https://github.com/hash-bang/Reflib-Node

Reference library processing for JavaScript. Reference library processing for NodeJS.

Proper citation: RefLib (RRID:SCR_018320) Copy   

•   Source: SciCrunch Registry

https://ualr.edu/bioinformatics/midsouth-bioinformatics-center/

Core provides bioinformatics consulting, training, technical assistance, and access to computational infrastructure for faculty, students, and researchers in region with their bioscience computational needs. Offers private sessions, workshops and training on specialty topics. Computing resources including software, computing cluster, technical advice.

Proper citation: University of Arkansas at Little Rock MidSouth Bioinformatics Center Core Facility (RRID:SCR_017168) Copy   

•   Source: SciCrunch Registry

http://s-quest.bihealth.org/fiddle/

Software interactive tool to help researchers to identify most appropriate publication format for their dataset that may be hard to publish in traditional journals. Formats include data repositories, micropublications, preprints, data journals, publishing platforms and journals that are open to null results. Users can search for publication format that meets their needs, compare and contrast formats, and find links to publishers. Open source tool to combat publication bias by getting research out of file drawer and into scientific community.

Proper citation: fiddle (RRID:SCR_017327) Copy   

•   Source: SciCrunch Registry

https://git.io/vAeKZ

It is non-graphical user interface in MATLAB which relies on keyboard callback functions. Used for analyzing big data sets.

Proper citation: ROIs selection with a non-graphical user interface (RRID:SCR_016352) Copy   

•   Source: SciCrunch Registry

http://www.cs.cmu.edu/~schneide/tut5/node42.html

A model evaluation method for training someone to read data. There are three methods: the holdout method, K-fold cross validation, and leave-one-out cross validation.

Proper citation: Cross Validation (RRID:SCR_000702) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/

Software repository for R packages related to analysis and comprehension of high throughput genomic data. Uses separate set of commands for installation of packages. Software project based on R programming language that provides tools for analysis and comprehension of high throughput genomic data.

Proper citation: Bioconductor (RRID:SCR_006442) Copy   

•   Source: SciCrunch Registry

https://sdrc.stanford.edu/sdrc-research-cores/dctc/home/

With the following services from the Diabetes Clinical and Translational Core (DCTC), members will receive training in biospecimen preservation, study design, data analysis, data management, use of statistical software and clinical trial conduct.

Proper citation: Stanford Diabetes Research Center Diabetes Clinical and Translational Core (RRID:SCR_016212) Copy   

•   Source: SciCrunch Registry

https://sdrc.stanford.edu/sdrc-research-cores/dimc/home/

Core facility that provides immune monitoring assays at the RNA, protein, and cellular level, as well as archiving, reporting, and data mining support for clinical and translational studies related to Diabetes. The DIMC is a specialized subcore of the Human Immune Monitoring Center (HIMC) at Stanford.

Proper citation: Stanford Diabetes Research Center Diabetes Immune Monitoring Core (RRID:SCR_016210) Copy   

•   Source: SciCrunch Registry