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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.
Web tool to investigate genome wide association results in their local genomic context. Adds new features to LocusZoom such as Manhattan plots, annotation options, and calculations that put findings in context. Used for interactive and embeddable visualization of genetic association study results.Javascript/d3 embeddable plugin for interactively visualizing statistical genetic data from customizable sources.
Proper citation: LocusZoom.org (RRID:SCR_021374) Copy
https://crispresso.pinellolab.partners.org/submission
Software suite of tools to qualitatively and quantitatively evaluate outcomes of genome editing experiments in which target loci are subject to deep sequencing and provides integrated, user friendly interface. Used for analysis of CRISPR-Cas9 genome editing outcomes from sequencing data. CRISPResso2 provides accurate and rapid genome editing sequence analysis.Used for analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments.
Proper citation: CRISPResso (RRID:SCR_021538) Copy
https://github.com/marbl/salsa
Software tool for scaffold long read assemblies with Hi-C data.
Proper citation: SALSA (RRID:SCR_022013) Copy
https://github.com/YosefLab/FastProject
Software Python tool for low dimensional analysis of single-cell RNA-Seq data. Software package for two dimensional visualization of single cell data. Analyzes gene expression matrix and produces output report in which two-dimensional of data can be explored.
Proper citation: FastProject (RRID:SCR_017462) Copy
http://pathwaynet.princeton.edu/
Web user interface for interaction predictions of human gene networks and integrative analysis of user data types that takes advantage of data from diverse tissue and cell-lineage origins. Predicts presence of functional association and interaction type among human genes or its protein products on whole genome scale. Used to analyze experimetnal gene in context of interaction networks.
Proper citation: PathwayNet (RRID:SCR_017353) Copy
https://github.com/brentp/peddy
Software package that evaluates correspondence between stated sexes, relationships, and ancestries in pedigree file and those inferred from genotypes in VCF file resulting from human whole genome sequencing or whole exome sequencing studies. Facilitates both automated and interactive, visual detection of sample swaps, poor sequencing quality, and other indicators of sample problems.
Proper citation: peddy (RRID:SCR_017287) Copy
http://topaz.gatech.edu/GeneMark/
Software package for ab initio identification of protein coding regions in RNA transcripts. Algorithm parameters are estimated by unsupervised training which makes unnecessary manually curated preparation of training sets. Sets of assembled eukaryotic transcripts can be analyzed by modified GeneMarkS-T algorithm which part of gene prediction programs GeneMark.
Proper citation: GeneMarkS-T (RRID:SCR_017648) Copy
https://pachterlab.github.io/cgal/
Software tool for computing genome assembly likelihoods.Computes likelihood of reads with respect to assembly and statistical model which can be used as metric for evaluating assemblies. Novel likelihood based approach to assembly assessment in absence of ground truth.
Proper citation: Computing Genome Assembly Likelihoods (RRID:SCR_017624) Copy
http://geneontology.org/docs/go-consortium/
Consortium integrates resources from variety of research groups, from model organisms to protein databases to biological research communities actively involved in development and implementation of Gene Ontology. Mission to develop up to date, comprehensive, computational model of biological systems, from molecular level to larger pathways, cellular and organism level systems.
Proper citation: GO Gene Ontology Consortium and Knowledgebase (RRID:SCR_017505) Copy
https://imputationserver.sph.umich.edu/
Web server to implement whole genotype imputation workflow for efficient parallelization of computationally intensive tasks. Service for imputation that facilitates access to new reference panels and greatly improves user experience and productivity. Used to find haplotype segments and reference panel of sequenced genomes, assign genotypes at untyped markers, improve genome coverage, facilitate comparison and combination of studies that use different marker panels, increase power to detect genetic association, and guide fine mapping.
Proper citation: Michigan Imputation Server (RRID:SCR_017579) Copy
https://web.expasy.org/protparam/
Software tool to calculate various physicochemical parameters for given protein stored in Swiss-Prot or TrEMBL or for user entered protein sequence. Protein can either be pecified as Swiss-Prot/TrEMBL accession number or ID, or in form of raw sequence. Computed parameters include molecular weight, theoretical pI, amino acid composition, atomic composition, extinction coefficient, estimated half-life, instability index, aliphatic index and grand average of hydropathicity.
Proper citation: ProtParam Tool (RRID:SCR_018087) Copy
https://cadd.gs.washington.edu/
Web tool for predicting deleteriousness of variants throughout human genome. Software tool for scoring deleteriousness of single nucleotide variants as well as insertion and deletions variants in human genome.
Proper citation: Combined Annotation Dependent Depletion (RRID:SCR_018393) Copy
Web tool to perform gene set enrichment testing. Used to test for predefined biologically relevant gene sets that contain more significant genes from experimental dataset than expected by chance. Logistic regression approach for identifying enriched biological groups in gene expression data.
Proper citation: LRPath (RRID:SCR_018572) Copy
https://github.com/Gaius-Augustus/BRAKER
Software tool as pipeline for accurate and automated gene prediction in novel eukaryotic genomes. Automated gene prediction training and gene prediction pipeline.BRAKER1 is eukaryotic genome annotation pipeline. BRAKER2 is extension of BRAKER1 which allows for fully automated training of gene prediction tools GeneMark EX R14, R15, R17, F1 and AUGUSTUS from RNA Seq and/or protein homology information, and that integrates extrinsic evidence from RNA-Seq and protein homology information into prediction.
Proper citation: BRAKER (RRID:SCR_018964) Copy
https://ccb.jhu.edu/software/stringtie/
Software application for assembling of RNA-Seq alignments into potential transcripts. It enables improved reconstruction of a transcriptome from RNA-seq reads. This transcript assembling and quantification program is implemented in C++ .
Proper citation: StringTie (RRID:SCR_016323) Copy
https://bitbucket.org/charade/svengine
Software for analysis and simulation of gene sequences and structural variants. This software works with FASTA, FASTQ, BAM, VAR, META, and NEWICK file formats.
Proper citation: SVEngine (RRID:SCR_016235) Copy
http://www.repeatmasker.org/RepeatModeler/
Sequence analysis software that performs repeat family identification and creates models for sequence data. RepeatModeler utilizes RepeatScout and RECON to identify repeat element boundaries and family relationships., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: RepeatModeler (RRID:SCR_015027) Copy
https://genome.ucsc.edu/cgi-bin/hgLiftOver
Web tool to convert genome coordinates and genome annotation files between assemblies. Used to translate genomic coordinates from one assembly version into another and retrieves putative orthologous regions in other species using UCSC chained and netted alignments.
Proper citation: liftOver (RRID:SCR_018160) Copy
http://www.proteometools.org/index.php?id=home
Project for building molecular and digital tools from human proteome to facilitate biomedical research, drug discovery, personalized medicine and life science research.
Proper citation: ProteomeTools (RRID:SCR_018535) Copy
http://sonorus.princeton.edu/hefalmp/
HEFalMp (Human Experimental/FunctionAL MaPper) is a tool developed by Curtis Huttenhower in Olga Troyanskaya's lab at Princeton University. It was created to allow interactive exploration of functional maps. Functional mapping analyzes portions of these networks related to user-specified groups of genes and biological processes and displays the results as probabilities (for individual genes), functional association p-values (for groups of genes), or graphically (as an interaction network). HEFalMp contains information from roughly 15,000 microarray conditions, over 15,000 publications on genetic and physical protein interactions, and several types of DNA and protein sequence analyses and allows the exploration of over 200 H. sapiens process-specific functional relationship networks, including a global, process-independent network capturing the most general functional relationships. Looking to download functional maps? Keep an eye on the bottom of each page of results: every functional map of any kind is generated with a Download link at the bottom right. Most functional maps are provided as tab-delimited text to simplify downstream processing; graphical interaction networks are provided as Support Vector Graphics files, which can be viewed using the Adobe Viewer, any recent version of Firefox, or the excellent open source Inkscape tool.
Proper citation: Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome (RRID:SCR_003506) Copy
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