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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.
http://faculty.washington.edu/browning/beagle/beagle.html
Software package for analysis of large-scale genetic data sets with hundreds of thousands of markers genotyped on thousands of samples. BEAGLE can * phase genotype data (i.e. infer haplotypes) for unrelated individuals, parent-offspring pairs, and parent-offspring trios. * infer sporadic missing genotype data. * impute ungenotyped markers that have been genotyped in a reference panel. * perform single marker and haplotypic association analysis. * detect genetic regions that are homozygous-by-descent in an individual or identical-by-descent in pairs of individuals. Beagle can also be used in conjunction with PRESTO, a program for fast and flexible permutation testing. PRESTO can compute empirical distributions of order statistics, analyze stratified data, and determine significance levels for one-stage and two-stage genetic association studies. BEAGLE is written in Java and runs on any computing platform with a Java version 1.6 interpreter (e.g. Windows, Unix, Linux, Solaris, Mac).
Proper citation: BEAGLE (RRID:SCR_001789) Copy
http://bioconductor.org/packages/release/bioc/html/nondetects.html
Software R package to model and impute non-detects in results of qPCR experiments.Used to directly model non-detects as missing data.
Proper citation: nondetects (RRID:SCR_001702) Copy
https://www.apbenson.com/cyrillic-downloads
Software application for pedigree drawing with fully integrated risk analysis and support for industry standard databases (MS Access and Corel Paradox). It is designed for genetic counselors and others who work with patients. Cyrillic 2 draws pedigrees, works with genetic marker data, lets you do haplotyping and allows exports to a range of linkage analysis packages.
Proper citation: CYRILLIC (RRID:SCR_001823) Copy
http://clip.med.yale.edu/presto/
Software toolkit for processing raw reads from high-throughput sequencing of lymphocyte repertoires.
Proper citation: pRESTO (RRID:SCR_001782) Copy
http://subread.sourceforge.net/
Software package for high-performance read alignment, quantification and mutation discovery.General purpose read aligner which can be used to map both genomic DNA-seq reads and RNA-seq reads. Subread aligner as fast, accurate and scalable read mapping by seed-and-vote.These programs were also implemented in Bioconductor R package Rsubread.
Proper citation: Subread (RRID:SCR_009803) Copy
Ratings or validation data are available for this resource
http://www.bioinformatics.babraham.ac.uk/projects/trim_galore/
Software tool to automate quality and adapter trimming as well as quality control, with some added functionality to remove biased methylation positions for RRBS sequence files for directional, non-directional or paired-end sequencing. Wrapper around Cutadapt and FastQC to consistently apply adapter and quality trimming to FastQ files, with extra functionality for Reduced Representation Bisulfite Sequencing data.
Proper citation: Trim Galore (RRID:SCR_011847) Copy
https://omictools.com/tiltpicker-tool
Software tool to facilitate particle selection in single particle electron microscopy. An interactive graphical interface application designed to streamline the selection of particle pairs from tilted-pair datasets. Designed to work with existing software tools for image processing.
Proper citation: TiltPicker (RRID:SCR_016674) 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/wdecoster/nanofilt
Software tool written in Python to perform its filtering based on mean read quality and GC content and read length. Used for filtering and trimming of long read sequencing data.
Proper citation: NanoFilt (RRID:SCR_016966) Copy
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://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/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
https://www.sanger.ac.uk/science/tools/reapr
Software tool to identify errors in genome assemblies without need for reference sequence. Can be used in any stage of assembly pipeline to automatically break incorrect scaffolds and flag other errors in assembly for manual inspection. Reports mis-assemblies and other warnings, and produces new broken assembly based on error calls.
Proper citation: Recognition of Errors in Assemblies using Paired Reads (RRID:SCR_017625) Copy
http://technelysium.com.au/?page_id=13
Software ideal for the most basic of sequencing projects, where assembly of multiple sequences is not required., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Chromas (RRID:SCR_000598) Copy
http://www.dnastar.com/t-genvision.aspx
A genomic visualization application to support easy generation of publication quality graphics and maps. It produces high quality images of annotated genomes but it can also be customized to accentuate specific areas of interest, such as comparing gene functionality, illustrating gene expression levels, and visualizing the coverage in an assembled contig.
Proper citation: GenVision (RRID:SCR_001166) Copy
http://www.sanger.ac.uk/science/tools/ssaha2-0
A program designed for the efficient mapping of sequence reads onto genomic references. The software is capable of reading most sequencing platforms and giving a range of outputs are supported.
Proper citation: Sequence Search and Alignment by Hashing Algorithm (RRID:SCR_000544) Copy
http://decgpu.sourceforge.net/homepage.htm
Software tool as parallel and distributed error correction algorithm for high-throughput short reads using CUDA and MPI parallel programming models.
Proper citation: DecGPU (RRID:SCR_000585) Copy
http://www.codoncode.com/TraceViewer/index.htm
A Java program that allows you to see, print, and edit DNA sequencing traces.
Proper citation: CodonCodes TraceViewer (RRID:SCR_002304) Copy
http://www.ks.uiuc.edu/Research/vmd/
A molecular visualization program for displaying, animating, and analyzing large biomolecular systems using 3-D graphics and built-in scripting. VMD supports computers running MacOS X, Unix, or Windows, is distributed free of charge, and includes source code.
Proper citation: Visual Molecular Dynamics (RRID:SCR_001820) Copy
http://bpg.utoledo.edu/~afedorov/lab/eid.html
Data sets of protein-coding intron-containing genes that contain gene information from humans, mice, rats, and other eukaryotes, as well as genes from species whose genomes have not been completely sequenced. This is a comprehensive and convenient dataset of sequences for computational biologists who study exon-intron gene structures and pre-mRNA splicing. The database is derived from GenBank release 112, and it contains protein-coding genes that harbor introns, along with extensive descriptions of each gene and its DNA and protein sequences, as well as splice motif information. They have created subdatabases of genes whose intron positions have been experimentally determined. The collection also contains data on untranslated regions of gene sequences and intron-less genes. For species with entirely sequenced genomes, species-specific databases have been generated. A novel Mammalian Orthologous Intron Database (MOID) has been introduced which includes the full set of introns that come from orthologous genes that have the same positions relative to the reading frames.
Proper citation: EID: Exon-Intron Database (RRID:SCR_002469) Copy
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