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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 21 showing 401 ~ 420 out of 435 results
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  • RRID:SCR_007001

    This resource has 1+ mentions.

http://mcx.sourceforge.net/

A Monte Carlo simulation software for photon migration in 3D turbid media. It uses Graphics Processing Units (GPU) based massively parallel computing techniques and is extremely fast compared to the traditional single-threaded CPU-based simulations. Using an nVidia 8800GT graphics card (14MP/114Cores), the acceleration is about 300x~400x compared to a single core of Xeon 5120 CPU; this ratio can be as high as 700x with a GTX 280 GPU and 1400x with a GTX 470.

Proper citation: Monte Carlo eXtreme (RRID:SCR_007001) Copy   


  • RRID:SCR_005421

    This resource has 100+ mentions.

http://solexaqa.sourceforge.net/

Software package to calculate sequence quality statistics and create visual representations of data quality for Illumina's second-generation sequencing technology.

Proper citation: SolexaQA (RRID:SCR_005421) Copy   


  • RRID:SCR_015533

    This resource has 50+ mentions.

http://fmatoolbox.sourceforge.net

Matlab toolbox used to help analyze electrophysiological and behavioral data recorded from freely moving animals.

Proper citation: FMAToolbox (RRID:SCR_015533) Copy   


  • RRID:SCR_012043

    This resource has 1+ mentions.

http://cpfp.sourceforge.net/

Software providing a data analysis pipeline for shotgun mass-spectrometry proteomics.

Proper citation: CPFP (RRID:SCR_012043) Copy   


  • RRID:SCR_012098

    This resource has 1+ mentions.

http://bionotate.sourceforge.net/

An open source annotation tool for the distributed creation of a large corpus.

Proper citation: Bionotate (RRID:SCR_012098) Copy   


  • RRID:SCR_000378

    This resource has 1+ mentions.

http://sourceforge.net/projects/genseng/

Software for detecting copy number variations from next generation sequencing data. Used to identify regions of discrete copy number changes while simultaneously accounting for effects of multiple confounders.

Proper citation: GENSENG (RRID:SCR_000378) Copy   


  • RRID:SCR_000290

    This resource has 1+ mentions.

http://sourceforge.net/projects/limsforproteomi/

Laboratory information management system for proteomics. The software works with 2DPAGE-based proteomics workflow.

Proper citation: LIPAGE (RRID:SCR_000290) Copy   


  • RRID:SCR_000566

    This resource has 1+ mentions.

http://sourceforge.net/projects/virema/

Software Python package for detection, alignment and reporting of recombination events in Next-Generation Sequencing data. Detects and reports recombination or fusion events in virus genomes using deep sequencing datasets.

Proper citation: ViReMa (RRID:SCR_000566) Copy   


  • RRID:SCR_001100

    This resource has 1+ mentions.

http://sourceforge.net/projects/sparseassembler/

Software for memory-efficient genome assembly. It utilizes sparse k-mer.

Proper citation: SparseAssembler (RRID:SCR_001100) Copy   


  • RRID:SCR_001237

    This resource has 5000+ mentions.

https://gitlab.sib.swiss/EPD/chipseq

Set of software modules for performing common ChIP-seq data analysis tasks across the whole genome, including positional correlation analysis, peak detection, and genome partitioning into signal-rich and signal-poor regions. The tools are designed to be simple, fast and highly modular. Each program carries out a well-defined data processing procedure that can potentially fit into a pipeline framework. ChIP-Seq is also freely available on a Web interface.

Proper citation: ChIP-seq (RRID:SCR_001237) Copy   


http://dti-tk.sourceforge.net/pmwiki/pmwiki.php

A spatial normalization and atlas construction toolkit optimized for examining white matter morphometry using DTI data with special care taken to respect the tensorial nature of the data. It implements a state-of-the-art registration algorithm that drives the alignment of white matter (WM) tracts by matching the orientation of the underlying fiber bundle at each voxel. The algorithm has been shown to both improve WM tract alignment and to enhance the power of statistical inference in clinical settings. A 2011 study published in NeuroImage ranks DTI-TK the top-performing tool in its class. Key features include: * open standard-based file IO support: NIfTI format for scalar, vector and tensor image volumes * tool chains for manipulating tensor image volumes: resampling, smoothing, warping, registration & visualization * pipelines for WM morphometry: spatial normalization & atlas construction for population-based studies * built-in cluster-computing support: support for open source Sun Grid Engine (SGE) * Interoperability with other popular DTI tools: AFNI, Camino, FSL & DTIStudio * Interoperability with ITK-SNAP: support multi-modal visualization and segmentation

Proper citation: Diffusion Tensor Imaging ToolKit (RRID:SCR_001642) Copy   


  • RRID:SCR_002018

http://sourceforge.net/projects/openadam/

A web-based database management system for the large amount of genotype data generated from the Affymetrix GeneChip Mapping Array and Genome-Wide Human SNP Array platforms.

Proper citation: openADAM (RRID:SCR_002018) Copy   


  • RRID:SCR_002061

    This resource has 50+ mentions.

http://snver.sourceforge.net/

Statistical software tool for calling common and rare variants in analysis of pool or individual next-generation sequencing data. This software is optimized for analysis of whole-exome sequencing data and whole-genome sequencing data.

Proper citation: SNVer (RRID:SCR_002061) Copy   


  • RRID:SCR_006959

    This resource has 10+ mentions.

http://migen.sourceforge.net/

Standard specification for the information required to report a genotyping experiment, covering: study and experiment design, subject information, genotyping procedure, and data analysis methods. The goal is to set a reporting standard for adoption by the research community to facilitate consistent data interpretation and independent validation/reproduction, and to serve as guidance for database design for storing genotyping experiment data. MIGen is being developed as a collaborative project involving international domain experts and is a registered project under MIBBI: Minimum Information for Biological and Biomedical Investigations.

Proper citation: MIGen (RRID:SCR_006959) Copy   


  • RRID:SCR_012093

    This resource has 1000+ mentions.

http://samtools.sourceforge.net/

A generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms.

Proper citation: SAM format (RRID:SCR_012093) Copy   


  • RRID:SCR_005729

    This resource has 10+ mentions.

http://hollow.sourceforge.net/

HOLLOW facilitates the production of surface images of proteins. HOLLOW is a portable command-line utility written in Python 2.4-2.7; it does not have any other dependencies (although running under the PyPy JIT interpreter, it runs much faster). The input is a PDB file. The output is a PDB file of dummy water atoms that forms a cast of the voids and channels of a protein. HOLLOW generates a surface from a cast of the protein surface. HOLLOW fills the interior spaces of a protein structure with dummy atoms defined on an overlapping grid. The surface generated by these dummy atoms can be shown to reproduce the surface of the protein at the ideal limit. The use of the surface of the dummy atoms allows us to focus on a specific piece of the interior surface. Simply by deleting dummy atoms, the interior surface can be trimmed to produce a custom portion of the interior space. For advanced coloring of the surface, the B-factor of the dummy atoms can be calculated as the average of the B-factor of the protein atoms surrounding the dummy atoms. This allows various colorings of the surface to be conveyed through the B-factor field of the PDB files. The volume filling representation facilitated by HOLLOW is meant to complement other programs that identify voids, pockets and channels, such as SPHGEN and CASTp, which identify binding sites but cannot produce output that can be rendered in standard molecular graphics software. HOLLOW can be used to help render these binding pockets.

Proper citation: HOLLOW (RRID:SCR_005729) Copy   


  • RRID:SCR_000528

    This resource has 1+ mentions.

http://sourceforge.net/projects/metavar/

Software package that enables detection of sequence variation between metagenomic samples.

Proper citation: MaryGold (RRID:SCR_000528) Copy   


http://eeg.sourceforge.net/

Software toolbox to facilitate quick and easy import, visualization and measurement for Event Related Potential (ERP) data. The toolbox can open and visualise ERP averaged data (Neuroscan, ascii formats), 2D/3D electrode coordinates and 3D cerebral tissue tesselations (meshes). All the features can be explored quickly and easily using the example data provided in the toolbox. The GUI interface is simple and intuitive.

Proper citation: Bioelectromagnetism Matlab Toolbox (RRID:SCR_006090) Copy   


http://marsbar.sourceforge.net/

A toolbox for SPM which provides routines for region of interest analysis. Features include region of interest definition, combination of regions of interest with simple algebra, extraction of data for regions with and without SPM preprocessing (scaling, filtering), and statistical analyses of ROI data using the SPM statistics machinery.

Proper citation: MarsBaR region of interest toolbox for SPM (RRID:SCR_009605) Copy   


http://bowtie-bio.sourceforge.net/recount/

RNA-seq gene count datasets built using the raw data from 18 different studies. The raw sequencing data (.fastq files) were processed with Myrna to obtain tables of counts for each gene. For ease of statistical analysis, they combined each count table with sample phenotype data to form an R object of class ExpressionSet. The count tables, ExpressionSets, and phenotype tables are ready to use and freely available. By taking care of several preprocessing steps and combining many datasets into one easily-accessible website, we make finding and analyzing RNA-seq data considerably more straightforward.

Proper citation: ReCount - A multi-experiment resource of analysis-ready RNA-seq gene count datasets (RRID:SCR_001774) Copy   



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