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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/mandricigor/ScaffMatch
Software tool as scaffolding algorithm based on maximum weight matching able to produce high quality scaffolds from next generation sequencing data (reads and contigs). Able to handle reads with both short and long insert sizes.
Proper citation: ScaffMatch (RRID:SCR_017025) Copy
https://web.stanford.edu/group/pritchardlab/structure.html
Software package for using multi locus genotype data to investigate population structure. Used for inferring presence of distinct populations, assigning individuals to populations, studying hybrid zones, identifying migrants and admixed individuals, and estimating population allele frequencies in situations where many individuals are migrants or admixed. Can be applied to most of commonly used genetic markers, including SNPS, microsatellites, RFLPs and Amplified Fragment Length Polymorphisms.
Proper citation: STRUCTURE (RRID:SCR_017637) Copy
https://github.com/isovic/racon
Software tool as de novo genome assembly from long uncorrected reads. Used to correct raw contigs generated by rapid assembly methods which do not include consensus step. Supports data produced by Pacific Biosciences and Oxford Nanopore Technologies.
Proper citation: Racon (RRID:SCR_017642) Copy
https://github.com/Brazelton-Lab/seq-annot
Software Python package for annotating and counting genomic features in genomes and metagenomes. Software tools to facilitate annotation and comparison of genomes and metagenomes.
Proper citation: seq-annot (RRID:SCR_018731) Copy
https://github.com/TransDecoder/TransDecoder
Software tool to identify candidate coding regions within transcript sequences, such as those generated by de novo RNA-Seq transcript assembly using Trinity, or constructed based on RNA-Seq alignments to genome using Tophat and Cufflinks.Starts from FASTA or GFF file. Can scan and retain open reading frames (ORFs) for homology to known proteins by using BlastP or Pfam search and incorporate results into obtained selection. Predictions can then be visualized by using genome browser such as IGV.
Proper citation: TransDecoder (RRID:SCR_017647) Copy
Open Source software package for digital pathology image analysis. Used for whole slide image analysis and digital pathology. Provides researchers with batch processing and scripting functionality, and extensible platform with which to develop and share new algorithms to analyze complex tissue images.
Proper citation: QuPath (RRID:SCR_018257) Copy
https://chlorobox.mpimp-golm.mpg.de/geseq.html
Software tool for rapid and accurate annotation of organelle genomes, in particular chloroplast genomes.
Proper citation: GeSeq (RRID:SCR_017336) Copy
https://github.com/taborlab/FlowCal
Open source software tool for automatically converting flow cytometry data from arbitrary to calibrated units. Can be run using intuitive Microsoft Excel interface, or customizable Python scripts. Software accepts Flow Cytometry Standard (FCS) files as inputs and is compatible with different calibration particles, fluorescent probes, and cell types. Automatically gates data, calculates common statistics, and produces plots.
Proper citation: FlowCal (RRID:SCR_018140) Copy
https://github.com/ComparativeGenomicsToolkit/hal/tree/master/synteny
Software tool as conserved synteny block construction method for multiple whole-genome alignments. Implementation of DAG-based for reconstruction of synteny blocks from genome alignment.
Proper citation: halSynteny (RRID:SCR_018127) Copy
https://github.com/almorlio/CiLiQuant
Software tool to separate junction reads based on their linear or circular origin. Only non ambiguous junction reads are used to compare relative linear and circular transcript abundance.
Proper citation: CiLiQuant (RRID:SCR_019319) Copy
A tool for performing multi-cluster gene functional enrichment analyses on large scale data (microarray experiments with many time-points, cell-types, tissue-types, etc.). It facilitates co-analysis of multiple gene lists and yields as output a rich functional map showing the shared and list-specific functional features. The output can be visualized in tabular, heatmap or network formats using built-in options as well as third-party software. It uses the hypergeometric test to obtain functional enrichment achieved via the gene list enrichment analysis option available in ToppGene.
Proper citation: ToppCluster (RRID:SCR_001503) Copy
https://github.com/ndaniel/fusioncatcher
Software that searches for novel/known fusion genes, translocations, and chimeras in RNA-seq data (paired-end reads from Illumina NGS platforms like Solexa and HiSeq) from diseased samples.
Proper citation: FusionCatcher (RRID:SCR_000060) Copy
http://dissect-trans.sourceforge.net/Home
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software transcriptome-to-genome alignment tool, which can identify and characterize transcriptomic events such as duplications, inversions, rearrangements and fusions.
Proper citation: Dissect (RRID:SCR_000058) Copy
A curated collection of chaperonin sequence data collected from public databases or generated by a network of collaborators exploiting the cpn60 target in clinical, phylogenetic and microbial ecology studies. The database contains all available sequences for both group I and group II chaperonins. Users can search the database by Chaperonin type, group (I or II), BLAST, or other options, and can also enter and analyze FASTA sequences.
Proper citation: cpnDB: A Chaperonin Database (RRID:SCR_002263) Copy
http://www.predictprotein.org/
Web application for sequence analysis and the prediction of protein structure and function. The user interface intakes protein sequences or alignments and returned multiple sequence alignments, motifs, and nuclear localization signals., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026.
Proper citation: Predictions for Entire Proteomes (RRID:SCR_002803) Copy
Database on transcriptional regulation in Escherichia coli K-12 containing knowledge manually curated from original scientific publications, complemented with high throughput datasets and comprehensive computational predictions. Graphic and text-integrated environment with friendly navigation where regulatory information is always at hand. They provide integrated views to understand as well as organized knowledge in computable form. Users may submit data to make it publicly available.
Proper citation: RegulonDB (RRID:SCR_003499) Copy
Software package for Bayesian analysis of protein, DNA and RNA sequences. It utilizes multiple alignments, phylogenetic trees and evolutionary parameters to quantify uncertainty in these analyses. It is written in Java.
Proper citation: StatAlign (RRID:SCR_001892) Copy
http://genome.unmc.edu/ngLOC/index.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023.An n-gram-based Bayesian classifier that predicts subcellular localization of proteins both in prokaryotes and eukaryotes. The downloadable version of this software with source code is freely available for academic use under the GNU General Public License.
Proper citation: ngLOC (RRID:SCR_003150) Copy
http://www.nactem.ac.uk/facta/
Text mining tool to discover associations between biomedical concepts from MEDLINE articles. Use the service from your browser or via a Web Service. The whole MEDLINE corpus containing more than 20 million articles is indexed with an efficient text search engine, and it allows you to navigate such associations and their textual evidence in a highly interactive manner - the system accepts arbitrary query terms and displays relevant concepts immediately. A broad range of important biomedical concepts are covered by the combination of a machine learning-based term recognizer and large-scale dictionaries for genes, proteins, diseases, and chemical compounds. There is also a FACTA+ visualization service that can be found here: http://www.nactem.ac.uk/facta-visualizer/
Proper citation: FACTA+. (RRID:SCR_001767) Copy
https://www.biodiscovery.com/search/node?keys=Imagene
Software tool as convolutional neural network to quantify natural selection from genomic data.Supervised machine learning algorithm to predict natural selection and estimate selection coefficients from population genomic data. Can be used to estimate any parameter of interest from evolutionary population genetics model., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: ImaGene (RRID:SCR_002178) Copy
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