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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.
https://software.broadinstitute.org/gatk/
A software package to analyze next-generation resequencing data. The toolkit offers a wide variety of tools, with a primary focus on variant discovery and genotyping as well as strong emphasis on data quality assurance. Its robust architecture, powerful processing engine and high-performance computing features make it capable of taking on projects of any size. This software library makes writing efficient analysis tools using next-generation sequencing data very easy, and second it's a suite of tools for working with human medical resequencing projects such as 1000 Genomes and The Cancer Genome Atlas. These tools include things like a depth of coverage analyzers, a quality score recalibrator, a SNP/indel caller and a local realigner. (entry from Genetic Analysis Software)
Proper citation: GATK (RRID:SCR_001876) Copy
http://www.broadinstitute.org/gsea/
Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.
Proper citation: Gene Set Enrichment Analysis (RRID:SCR_003199) Copy
http://www.broadinstitute.org/cancer/cga/rna-seqc
Java software which computes a series of quality control metrics for RNA-seq data and can compare sequencing quality across different samples or experiments to evaluate different experimental parameters. The input can be one or more BAM files, and the output consists of HTML reports and tab delimited files of metrics data.
Proper citation: RNA-SeQC (RRID:SCR_005120) Copy
http://www.broadinstitute.org/scientific-community/science/projects/viral-genomics/vicuna
A de novo assembly program targeting populations with high mutation rates.
Proper citation: VICUNA (RRID:SCR_006302) Copy
A high-performance visualization tool for interactive exploration of large, integrated genomic datasets written primarily in JavaScript. It supports a wide variety of data types, including array-based and next-generation sequence data, and genomic annotations.
Proper citation: JBrowse (RRID:SCR_001004) Copy
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
Dataset of cellular signatures that catalogs transcriptional responses of human cells to chemical and genetic perturbation. CMap contains perturbagens, expression signatures, and small molecules from cell lines.
Proper citation: CMap (RRID:SCR_016204) Copy
http://www.broadinstitute.org/mammals/haploreg/haploreg.php
HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using linkage disequilibrium (LD) information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with their predicted chromatin state in nine cell types, conservation across mammals, and their effect on regulatory motifs. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation.
Proper citation: HaploReg (RRID:SCR_006796) Copy
Software tool to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically. It counts cells and also measures the size, shape, intensity and texture of every cell (and every labeled subcellular compartment) in every image. It was designed for high throughput screening but can perform automated image analysis for images from time-lapse movies and low-throughput experiments. CellProfiler has an increasing number of algorithms to identify and measure properties of neuronal cell types.
Proper citation: CellProfiler Image Analysis Software (RRID:SCR_007358) Copy
http://gnomad.broadinstitute.org/
Database that aggregates exome and genome sequencing data from large-scale sequencing projects. The gnomAD data set contains individuals sequenced using multiple exome capture methods and sequencing chemistries. Raw data from the projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects.
Proper citation: Genome Aggregation Database (RRID:SCR_014964) Copy
https://software.broadinstitute.org/gatk/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 18th,2023. Software package for genome analysis. Used for analysis of next generation genomic data in cancer.
Proper citation: IndelGenotyper (RRID:SCR_016663) Copy
Ratings or validation data are available for this resource
http://broadinstitute.github.io/picard/
Java toolset for working with next generation sequencing data in the BAM format.
Proper citation: Picard (RRID:SCR_006525) Copy
https://data.broadinstitute.org/alkesgroup/Eagle/
Software package for statistical estimation of haplotype phase either within a genotyped cohort or using a phased reference panel in large scale sequencing. The package includes Eagle1 (to harness identity-by-descent among distant relatives to rapidly call phase using a fast scoring approach) and Eagle2 (to analyze a full probabilistic model similar to the diploid Li-Stephens model used by previous HMM-based methods.
Proper citation: Eagle (RRID:SCR_015991) Copy
http://www.broadinstitute.org/scientific-community/science/projects/viral-genomics/v-phaser-2
A software tool to call variants in genetically heterogeneous populations from ultra-deep sequence data. It combines information regarding the covariation (i.e. phasing) between observed variants to increase sensitivity and an expectation maximization algorithm that iteratively recalibrates base quality scores to increase specificity. V-Phaser can reliably detect rare variants in diverse populations that occur at frequencies of <1%. V-Phaser 2 is a complete rewrite of the original V-Phaser. It contains a new model for length polymorphisms (indels) and incorporates paired end read information in its phasing model. The data access and probability computation sections of the code have also been highly optimized, resulting in substantial improvements in running time and memory usage.
Proper citation: V-Phaser 2 (RRID:SCR_005212) Copy
http://www.broadinstitute.org/software/scripture/
Software for transcriptome reconstruction that relies solely on RNA-Seq reads and an assembled genome to build a transcriptome ab initio. The statistical methods to estimate read coverage significance are also applicable to other sequencing data. Scripture also has modules for ChIP-Seq peak calling.
Proper citation: Scripture (RRID:SCR_005269) Copy
http://www.broadinstitute.org/cancer/cga/mutsig
Software that analyzes lists of mutations discovered in DNA sequencing, to identify genes that were mutated more often than expected by chance given background mutation processes.
Proper citation: MutSig (RRID:SCR_010779) Copy
Software tool as whole genome shotgun assembler that can generate high quality genome assemblies using short reads (~100bp) such as those produced by the new generation of sequencers.
Proper citation: ALLPATHS-LG (RRID:SCR_010742) Copy
http://trinityrnaseq.sourceforge.net/
Software for the efficient and robust de novo reconstruction of transcriptomes from RNA-seq data.
Proper citation: Trinity (RRID:SCR_013048) Copy
http://www.broadinstitute.org/igv/
A high-performance visualization tool for interactive exploration of large, integrated genomic datasets.
Proper citation: Integrative Genomics Viewer (RRID:SCR_011793) Copy
http://www.broadinstitute.org/cancer/software/genepattern
A powerful genomic analysis platform that provides access to hundreds of tools for gene expression analysis, proteomics, SNP analysis, flow cytometry, RNA-seq analysis, and common data processing tasks. A web-based interface provides easy access to these tools and allows the creation of multi-step analysis pipelines that enable reproducible in silico research.
Proper citation: GenePattern (RRID:SCR_003201) Copy
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