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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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On page 93 showing 1841 ~ 1860 out of 27,270 results
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  • RRID:SCR_010915

    This resource has 1+ mentions.

http://www.mhh.de/acghtool.html

A software tool for the normalization, visualization, breakpoint detection, and comparative analysis of array-CGH data which allows the accurate and sensitive detection of CNAs.

Proper citation: aCGHtool (RRID:SCR_010915) Copy   


  • RRID:SCR_010918

    This resource has 100+ mentions.

https://earray.chem.agilent.com/cghanalytics/index.html

A comprehensive design and analysis tool for setting up and interpreting your microarray experiments.

Proper citation: Agilent Genomic Workbench (RRID:SCR_010918) Copy   


  • RRID:SCR_010872

    This resource has 1+ mentions.

http://pages.cs.wisc.edu/~kliang/DBChIP/

Detects differential binding of transcription factors with ChIP-seq.

Proper citation: DBChIP (RRID:SCR_010872) Copy   


  • RRID:SCR_010874

    This resource has 10+ mentions.

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

R-package for identifying differential ChIP-seq based on an ensemble of mixture models.

Proper citation: DIME (RRID:SCR_010874) Copy   


  • RRID:SCR_010877

    This resource has 1+ mentions.

http://www.cs.ucf.edu/~xiaoman/ChIPModule/ChIPModule.html

A software tool for systematic discovery of transcription factors and their cofactors from ChIP-seq data.

Proper citation: ChIPModule (RRID:SCR_010877) Copy   


  • RRID:SCR_010910

    This resource has 1000+ mentions.

http://bio-bwa.sourceforge.net/

Software for aligning sequencing reads against large reference genome. Consists of three algorithms: BWA-backtrack, BWA-SW and BWA-MEM. First for sequence reads up to 100bp, and other two for longer sequences ranged from 70bp to 1Mbp.

Proper citation: BWA (RRID:SCR_010910) Copy   


  • RRID:SCR_010911

http://sourceforge.net/apps/mediawiki/cloudburst-bio/index.php?title=CloudBurst

A new parallel read-mapping algorithm optimized for mapping next-generation sequence data to the human genome and other reference genomes, for use in a variety of biological analyses including SNP discovery, genotyping, and personal genomics.

Proper citation: CloudBurst (RRID:SCR_010911) Copy   


  • RRID:SCR_010912

    This resource has 10+ mentions.

http://erne.sourceforge.net/

A short string alignment package whose goal is to provide an all-inclusive set of tools to handle short (NGS-like) reads.

Proper citation: ERNE (RRID:SCR_010912) Copy   


  • RRID:SCR_010880

    This resource has 50+ mentions.

http://fureylab.web.unc.edu/software/fseq/

A software package that generates a continuous tag sequence density estimation allowing identification of biologically meaningful sites whose output can be displayed directly in the UCSC Genome Browser.

Proper citation: F-Seq (RRID:SCR_010880) Copy   


  • RRID:SCR_010881

    This resource has 5000+ mentions.

http://homer.ucsd.edu/

Software tools for Motif Discovery and next-gen sequencing analysis. Used for analyzing ChIP-Seq, GRO-Seq, RNA-Seq, DNase-Seq, Hi-C and numerous other types of functional genomics sequencing data sets. Collection of command line programs for unix style operating systems written in Perl and C++.

Proper citation: HOMER (RRID:SCR_010881) Copy   


  • RRID:SCR_001350

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

Software library that contains functions to investigate links between differential gene expression and the chromosomal localization of the genes. It is motivated by the common observation of phenomena involving large chromosomal regions in tumor cells. MACAT is the implementation of a statistical approach for identifying significantly differentially expressed chromosome regions.

Proper citation: MACAT (RRID:SCR_001350) Copy   


  • RRID:SCR_001354

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

Software package that allows to detect and correct for spatial and intensity biases with two-channel microarray data. The normalization method implemented in this package is based on robust neural networks fitting.

Proper citation: nnNorm (RRID:SCR_001354) Copy   


  • RRID:SCR_001348

    This resource has 1+ mentions.

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

Software that graphically displays correlation in microarray data that is due to insufficient normalization.

Proper citation: maCorrPlot (RRID:SCR_001348) Copy   


  • RRID:SCR_001347

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

Software to identify differentially expressed genes. A hierarchical Bayesian approach is used, and the hyperparameters are estimated using empirical Bayes.

Proper citation: lapmix (RRID:SCR_001347) Copy   


  • RRID:SCR_001344

    This resource has 10+ mentions.

http://www.bioinf.jku.at/software/farms/farms.html

Software using a model-based technique for summarizing high-density oligonucleotide array data at probe level for Affymetrix GeneChips. It is based on a factor analysis model for which a Bayesian maximum a posteriori method optimizes the model parameters under the assumption of Gaussian measurement noise.

Proper citation: FARMS (RRID:SCR_001344) Copy   


  • RRID:SCR_001342

    This resource has 1+ mentions.

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

Software package that allows to characterize the operating characteristics of a microarray experiment, i.e. the trade-off between false discovery rate and the power to detect truly regulated genes. The package includes tools both for planned experiments (for sample size assessment) and for already collected data (identification of differentially expressed genes).

Proper citation: OCplus (RRID:SCR_001342) Copy   


  • RRID:SCR_001343

    This resource has 100+ mentions.

https://bioconductor.org/packages//2.11/bioc/html/bridge.html

Software package to test for differentially expressed genes with microarray data. It can be used with both cDNA microarrays or Affymetrix chip. The packge fits a robust Bayesian hierarchical model for testing for differential expression. Outliers are modeled explicitly using a $t$-distribution. The model includes an exchangeable prior for the variances which allow different variances for the genes but still shrink extreme empirical variances. The model can be used for testing for differentially expressed genes among multiple samples, and can distinguish between the different possible patterns of differential expression when there are three or more samples. Parameter estimation is carried out using a novel version of Markov Chain Monte Carlo that is appropriate when the model puts mass on subspaces of the full parameter space.

Proper citation: bridge (RRID:SCR_001343) Copy   


  • RRID:SCR_001338

    This resource has 100+ mentions.

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

Software package that contains functions for normalizing spotted microarray data, based on a physically motivated calibration model. The model parameters and error distributions are estimated from external control spikes.

Proper citation: CALIB (RRID:SCR_001338) Copy   


  • RRID:SCR_001459

    This resource has 1+ mentions.

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

Software package that implements a method for normalizing microarray intensities, both between colours within array, and between arrays. The method uses a robust variant of the maximum-likelihood estimator for the stochastic model of microarray data described in the references. The model incorporates data calibration (a.k.a. normalization), a model for the dependence of the variance on the mean intensity, and a variance stabilizing data transformation. Differences between transformed intensities are analogous to normalized log-ratios. However, in contrast to the latter, their variance is independent of the mean, and they are usually more sensitive and specific in detecting differential transcription.

Proper citation: vsn (RRID:SCR_001459) Copy   


  • RRID:SCR_001457

    This resource has 1+ mentions.

https://github.com/nolanlab/cytospade

Cytoscape plugin that provides a high-performance implementation of an interface for the Spanning-tree Progression Analysis of Density-normalized Events (SPADE) algorithm for tree-based analysis and visualization of high-dimensional cytometry data.

Proper citation: CytoSPADE (RRID:SCR_001457) Copy   



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