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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 60 showing 1181 ~ 1200 out of 1,647 results
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  • RRID:SCR_000394

http://sourceforge.net/projects/microanalyzer/

Java tool that performs the preprocessing of Expression and SNPs microarray Affymetrix. The software allows the automatic download and the use of the clustering and visualization software as the Mev 4.0. The tool is equipped by a graphical interface (Swing) that allows to the user to: Create the workspace (files .cel, preferred algorithms , output, libraries to use); Run/save analysis and workspace settings (xml); Efficient download of the libraries (http, ftp, MD5); Customize basic and graphical settings (objects serialization and deserialization). Type of SNPs: Mapping 500k or preceding chips, SNP 5.0, SNP 6.0. Available for 32 or 64 bit systems, and for Windows and Linux Systems.

Proper citation: Micro-Analyzer (RRID:SCR_000394) Copy   


  • RRID:SCR_000468

    This resource has 10+ mentions.

https://github.com/GregoryFaust/samblaster

Software tool to mark duplicates and extract discordant and split reads from SAM files. This fast and flexible program for marking duplicates in read-id grouped paired-end SAM files can also optionally output discordant read pairs and/or split read mappings to separate SAM files, and/or unmapped/clipped reads to a separate FASTQ file. When marking duplicates, samblaster will require approximately 20MB of memory per 1M read pairs.

Proper citation: SAMBLASTER (RRID:SCR_000468) Copy   


  • RRID:SCR_000467

    This resource has 1+ mentions.

http://nmrml.org/

An open mark-up language for NMR data.

Proper citation: nmrML (RRID:SCR_000467) Copy   


  • RRID:SCR_000588

    This resource has 1+ mentions.

http://www.tapyr.net/

An efficient software tool for the local alignment of pyrosequencing reads produced by the GS FLX (454) Genome Analyzer technology against a reference genome sequence. The approach explores the characteristics of the data in re-sequencing applications and uses state of the art BWT-based indexing techniques combined with a flexible seed-based approach, leading to a fast and accurate algorithm which needs very little user parameterization. Although initially developed having this specific technology in mind, this software performs equally well on any other platform that can return its sequencing reads in the FASTA, FASTQ or SFF formats, including Illumina, Ion Torrent and Pacific Biosciences technologies.

Proper citation: TAPyR (RRID:SCR_000588) Copy   


  • RRID:SCR_000559

    This resource has 100+ mentions.

http://www.broadinstitute.org/cancer/cga/mutect

Software for the reliable and accurate identification of somatic point mutations in next generation sequencing data of cancer genomes.

Proper citation: MuTect (RRID:SCR_000559) Copy   


  • RRID:SCR_000669

http://sourceforge.net/projects/srma/

A post-alignment micro re-aligner for next-generation high throughput sequencing data.

Proper citation: SRMA (RRID:SCR_000669) Copy   


  • RRID:SCR_001107

    This resource has 1+ mentions.

https://bitbucket.org/mckinsel/shortfuse

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. A software package with tools for identifying fusion transcripts from RNA-Seq data. It is written in C++, and has dependencies on packages from Python 2.

Proper citation: ShortFuse (RRID:SCR_001107) Copy   


  • RRID:SCR_001090

    This resource has 1+ mentions.

http://sourceforge.net/projects/cuda-ec/

A fast parallel error correction tool for short reads.

Proper citation: CUDA-EC (RRID:SCR_001090) Copy   


  • RRID:SCR_001005

    This resource has 1+ mentions.

http://sun.aei.polsl.pl/dsrc/

An application designed for compression of data files containing reads from DNA sequencing in FASTQ format. Its main features include multithreaded compression of FASTQ output, python and C++ libraries, and support for lossy IDs compression.

Proper citation: DSRC (RRID:SCR_001005) Copy   


  • RRID:SCR_001146

    This resource has 1+ mentions.

http://131.174.198.125/bioinfo/gimmemotifs/

Software that provides a de novo motif prediction pipeline, especially suited for ChIP-seq datasets. It incorporates several existing motif prediction algorithms in an ensemble method to predict motifs and clusters these motifs using the WIC similarity scoring metric., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GimmeMotifs (RRID:SCR_001146) Copy   


  • RRID:SCR_001019

http://dna.leeds.ac.uk/illuminator/

A sequence alignment program for the output from Illumina GA-II clonal sequencers. It uses an algorithm that indexes the reference sequence as a series of 8-mers and then matches the genomic reads to the 8-mer index, in a mutation-tolerant way permitting identification of single-nucleotide substitutions and indels.

Proper citation: Illuminator (RRID:SCR_001019) Copy   


https://immersive-analytics.infotech.monash.edu/vanted/

Software tool for extendable network visualization and analysis for the life sciences. It is Java-based and allows users to create, edit and map data onto existing or new networks. Experimental datasets can be visualized on network elements as graphical charts to show time series data or data of different treatments, as well as environmental conditions in the context of the underlying biological processes. Users can utilize built-in statistical algorithms to evaluate mapped data.

Proper citation: Visualization and Analysis of Networks containing Experimental Data (VANTED) (RRID:SCR_001138) Copy   


  • RRID:SCR_001175

    This resource has 1+ mentions.

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

Software package that selects genes associated with survival.

Proper citation: rbsurv (RRID:SCR_001175) Copy   


  • RRID:SCR_001296

    This resource has 100+ mentions.

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

Software package for Illumina 450 methylation array normalization and metrics including 15 flavors of betas and three performance metrics, with methods for objects produced by methylumi, minfi and IMA packages.

Proper citation: wateRmelon (RRID:SCR_001296) Copy   


  • RRID:SCR_001294

    This resource has 100+ mentions.

https://github.com/FelixKrueger/Sherman

Software tool to simulate FastQ files for high-throughput sequencing experiments. It allows the user to introduce various "contaminants" into the sequences, such as basecall errors, SNPs, adapter fragments etc., in order to evaluate the influence of common problems observed in many Next-Gen Sequencing experiments.

Proper citation: Sherman (RRID:SCR_001294) Copy   


  • RRID:SCR_001205

https://code.google.com/p/ibm-cbc-genomic-tools/

A flexible computational platform, comprising both a command-line set of tools and a C++ API, for the analysis and manipulation of high-throughput sequencing data such as DNA-seq, RNA-seq, ChIP-seq and MethylC-seq. It implements a variety of mathematical operations between sets of genomic regions thereby enabling the prototyping of computational pipelines that can address tasks from preprocessing and quality control to meta-analyses. The user can create average read profiles across transcriptional start sites or enhancer sites, quickly prototype customized peak discovery methods for ChIP-seq experiments, perform genome-wide statistical tests such as enrichment analyses, design controls via appropriate randomization schemes, among other applications. In addition to enabling rapid prototyping, the platform is designed to analyze large-datasets in a single-pass fashion in order to minimize memory and intermediate file requirements. The platform supports the widely used BED format to facilitate visualization as well as integration with existing platforms and pipelines such as Galaxy or BioConductor.

Proper citation: GenomicTools (RRID:SCR_001205) Copy   


  • RRID:SCR_001208

    This resource has 1+ mentions.

http://www.genome.duke.edu/labs/ohler/research/PARalyzer/

Software tool to generate a high resolution map of interaction sites between RNA-binding proteins and their targets. The algorithm utilizes the deep sequencing reads generated by the newly developed PAR-CLIP (Photoactivatable-Ribonucleoside-Enhanced Crosslinking and Immunoprecipitation) protocol. The use of photoactivatable nucleotides in the PAR-CLIP protocol results in a more efficient crosslinking between the RNA-binding protein and its target relative to other CLIP methods; in addition a nucleotide substitution occurs at the site of crosslinking during Illumina library preparation. PARalyzer utilizes this nucleotide substition in a kernel density estimate classifier to generate the high resolution set of Protein-RNA interaction sites.

Proper citation: PARalyzer (RRID:SCR_001208) Copy   


  • RRID:SCR_001288

    This resource has 1+ mentions.

http://yiplab.cse.cuhk.edu.hk/probrna/

Software for computational identification of protein binding sites on RNAs using high-throughput RNA structure-probing data.

Proper citation: ProbRNA (RRID:SCR_001288) Copy   


  • RRID:SCR_001235

    This resource has 1000+ mentions.

https://vcftools.github.io/index.html

Software package for working with VCF files. Used to provide easily accessible methods for working with complex genetic variation data in the form of VCF files.Implements various utilities for processing Variant Call Format files, including validation, merging, comparing. Provides general Perl API.

Proper citation: VCFtools (RRID:SCR_001235) Copy   


  • RRID:SCR_001233

    This resource has 1+ mentions.

http://sequedex.lanl.gov/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 18,2025.Software to classify the function and phylogeny of reads as short as 30 bp. It is flexible, which can utilize multiple data modules and downstream analysis scripts. It is fast, reading in signature lists of 5-500 million peptide signatures in 1-15 minutes, and subsequently processes genomic fragments at the rate of 6 Gbp/hr. It parallelizes without significant increase in memory requirements until I/O bound on multiple input files; parallelization works well on 64 processors.

Proper citation: Sequedex (RRID:SCR_001233) Copy   



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