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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://github.com/hetio/hetmatpy
Software Python package for matrix storage and operations on hetnets. Enables identifying relevant network connections between set of query nodes.
Proper citation: HetMatPy (RRID:SCR_023409) Copy
https://github.com/tobiasrausch/alfred
Web application as interactive multi-sample BAM alignment statistics, feature counting and feature annotation for long- and short-read sequencingas.
Proper citation: Alfred (RRID:SCR_023354) Copy
Software visualization tool for biological pathways. Pathway analysis and drawing software which allows drawing, editing, and analyzing biological pathways. Developed in Java and can be extended with plugins.
Proper citation: PathVisio (RRID:SCR_023789) Copy
http://rarediseases.info.nih.gov/GARD/Default.aspx
Genetic and Rare Diseases Information Center (GARD) is a collaborative effort of two agencies of the National Institutes of Health, The Office of Rare Diseases Research (ORDR) and the National Human Genome Research Institute (NHGRI) to help people find useful information about genetic conditions and rare diseases. GARD provides timely access to experienced information specialists who can furnish current and accurate information about genetic and rare diseases. So far, GARD has responded to 27,635 inquiries on about 7,147 rare and genetic diseases. Requests come not only from patients and their families, but also from physicians, nurses and other health-care professionals. GARD also has proved useful to genetic counselors, occupational and physical therapists, social workers, and teachers who work with people with a genetic or rare disease. Even scientists who are studying a genetic or rare disease and who need information for their research have contacted GARD, as have people who are taking part in a clinical study. Community leaders looking to help people find resources for those with genetic or rare diseases and advocacy groups who want up-to-date disease information for their members have contacted GARD. And members of the media who are writing stories about genetic or rare diseases have found the information GARD has on hand useful, accurate and complete. GARD has information on: :- What is known about a genetic or rare disease. :- What research studies are being conducted. :- What genetic testing and genetic services are available. :- Which advocacy groups to contact for a specific genetic or rare disease. :- What has been written recently about a genetic or rare disease in medical journals. GARD information specialists get their information from: :- NIH resources. :- Medical textbooks. :- Journal articles. :- Web sites. :- Advocacy groups, and their literature and services. :- Medical databases.
Proper citation: Genetic and Rare Diseases Information Center (RRID:SCR_008695) Copy
http://interactome.baderlab.org/
Project portal for the Human Reference Protein Interactome Project, which aims generate a first reference map of the human protein-protein interactome network by identifying binary protein-protein interactions (PPIs). It achieves this by systematically interrogating all pairwise combinations of predicted human protein-coding genes using proteome-scale technologies.
Proper citation: Human Reference Protein Interactome Project (RRID:SCR_015670) Copy
https://github.com/satijalab/seurat
Software R package designed for QC, analysis, and exploration of single cell RNA-seq data. Enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. Used for quality control, analysis, and exploration of single-cell RNA sequencing (scRNA-seq) data.
Proper citation: Seurat (RRID:SCR_016341) Copy
https://github.com/davidaknowles/leafcutter/
Software tool for identifying and quantifying RNA splicing variation. Used to study sample and population variation in intron splicing. Identifies variable intron splicing events from short read RNA-seq data and finds alternative splicing events of high complexity. Used for detecting differential splicing between sample groups, and for mapping splicing quantitative trait loci (sQTLs).
Proper citation: LeafCutter (RRID:SCR_017639) Copy
https://github.com/hahnlab/CAFExp
Software tool for computational analysis of gene family evolution. Used for statistical analysis of evolution gene family sizes. Models evolution of gene family sizes over phylogeny.
Proper citation: Computational Analysis of gene Family Evolution (RRID:SCR_018924) Copy
https://github.com/broadinstitute/Drop-seq
Software Java tools for analyzing Drop-seq data. Used to analyze gene expression from thousands of individual cells simultaneously. Analyzes mRNA transcripts while remembering origin cell transcript.
Proper citation: Drop-seq tools (RRID:SCR_018142) Copy
https://github.com/sreeramkannan/Shannon
Software tool for de novo transcriptome assembly from RNA-Seq data.
Proper citation: Shannon (RRID:SCR_017037) Copy
https://bioconductor.org/packages/SNPRelate/
Software R package as parallel computing toolset for relatedness and principal component analysis of SNP data.
Proper citation: SNPRelate (RRID:SCR_022719) Copy
https://github.com/xfengnefx/hifiasm-meta
Software tool as metagenome assembler that exploits high accuracy of recent data. De novo metagenome assembler, based on haplotype resolved de novo assembler for PacBio Hifi reads. Workflow consists of optional read selection, sequencing error correction, read overlapping, string graph construction and graph cleaning.
Proper citation: hifiasm-meta (RRID:SCR_022771) Copy
https://CRAN.R-project.org/package=ComplexUpset
Software R package for visualization of intersecting sets. Used for quantitative analysis of sets, their intersections, and aggregates of intersections. Visualizes set intersections in matrix layout and introduces aggregates based on groupings and queries.
Proper citation: ComplexUpset (RRID:SCR_022752) Copy
https://github.com/FunctionLab/sei-framework
Web server for systematically predicting sequence regulatory activities and applying sequence information to human genetics data. Provides global map from any sequence to regulatory activities, as represented by sequence classes, and each sequence class integrates predictions for chromatin profiles like transcription factor, histone marks, and chromatin accessibility profiles across wide range of cell types.
Proper citation: sei (RRID:SCR_022571) Copy
Software tool to visualize set intersections in matrix layout. Interactive, web based visualization technique designed to analyze set based data. Visualizes both, set intersections and their properties, and elements in dataset. Used for quantitative analysis of data with more than three sets.
Proper citation: UpSet (RRID:SCR_022731) Copy
http://tools.dice-database.org/GOnet/)
Web tool for interactive Gene Ontology analysis of any biological data sources resulting in gene or protein lists.
Proper citation: GOnet (RRID:SCR_018977) Copy
https://github.com/chhylp123/hifiasm
Software tool as haplotype resolved de novo assembler for PacBio Hifi reads. Can assemble human genome in several hours.Introduces new graph binning algorithm and achieves haplotype resolved assembly given trio data. Takes advantage of long high fidelity sequence reads to represent haplotype information in phased assembly graph. Preserves contiguity of all haplotypes.
Proper citation: Hifiasm (RRID:SCR_021069) Copy
Web tool for creating digital profile of scientific discoveries in article and connecting them to related research. Authors describe molecular interactions supported by their results, letting researchers explore first hand account of article findings and connect to related articles and knowledge. Web based system for scientists to compose structured representation of networks of interactions between genes, their products, and chemical compounds, represented using power of formal ontology.
Proper citation: Biofactoid (RRID:SCR_021011) Copy
https://genome-cancer.ucsc.edu/
A suite of web-based tools to visualize, integrate and analyze cancer genomics and its associated clinical data. It is possible to display your own clinical data within one of their datasets.
Proper citation: UCSC Cancer Genomics Browser (RRID:SCR_011796) Copy
https://vertebrate.genenames.org/
Software resource for vertebrate gene nomenclature. Database of gene symbols. Coordinates with vertebrate nomenclature committees, MGNC (mouse), RGNC (rat), CGNC (chicken), AGNC (Anole green lizard), XNC (Xenopus frog) and ZNC (zebrafish), to ensure genes are named in line with their human homologs.
Proper citation: VGNC (RRID:SCR_017514) Copy
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