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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/jstjohn/SimSeq
An illumina paired-end and mate-pair short read simulator. This project attempts to model as many of the quirks that exist in Illumina data as possible. Some of these quirks include the potential for chimeric reads, and non-biotinylated fragment pull down in mate-pair libraries .
Proper citation: SimSeq (RRID:SCR_006947) Copy
https://github.com/alyssafrazee/polyester
An R package designed to simulate RNA sequencing experiments with differential transcript expression. Given a set of annotated transcripts, it will simulate the steps of an RNA-seq experiment (fragmentation, reverse-complementing, and sequencing) and produce files containing simulated RNA-seq reads. Simulated reads can be analyzed using a choice of downstream analysis tools. Polyester has a built-in wrapper function to simulate a case/control experiment with differential transcript expression and biological replicates. Users are able to set the levels of differential expression at transcripts of their choosing. This means they know which transcripts are differentially expressed in the simulated dataset, so accuracy of statistical methods for differential expression detection can be analyzed. Polyester offers several unique features: * Built-in functionality to simulate differential expression at the transcript level * Ability to explicitly set differential expression signal strength * Simulation of small datasets, since large RNA-seq datasets can require lots of time and computing resources to analyze * Generation of raw RNA-seq reads, as opposed to alignments or transcript-level abundance estimates * Transparency/open-source code
Proper citation: Polyester (RRID:SCR_003602) Copy
https://www.genome-cloud.com/user/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 29, 2019. A cloud platform for next-generation sequencing analysis and storage. Services include: * g-Analysis: Automated genome analysis pipelines at your fingertips * g-Cluster: Easy-of-use and cost-effective genome research infrastructure * g-Storage: A simple way to store, share and protect data * g-Insight: Accurate analysis and interpretation of biological meaning of genome data
Proper citation: GenomeCloud (RRID:SCR_011886) Copy
Open Access Bioinformatics resource portal.
Proper citation: Bioinformaticsweb (RRID:SCR_011988) Copy
http://abacus.gene.ucl.ac.uk/software/indelible/
Software that generates nucleotide, amino acid and codon sequence data by simulating insertions and deletions (indels) as well as substitutions. It is used for biological sequence simulation of multi-partitioned nucleotide, amino-acid, or codon data sets through the processes of insertion, deletion, and substitution in continuous time.
Proper citation: Indelible (RRID:SCR_016163) Copy
Simulation engine for systems and synthetic biology to be used with other software applications. It retains the original functionality of RoadRunner but has changes in performance, back-end design, event handling, new C++ API, and stochastic simulation support.
Proper citation: libRoadRunner (RRID:SCR_014763) Copy
http://code.google.com/p/pbsim/
Software that simulates PacBio reads by using either a model-based or sampling-based simulation.
Proper citation: PBSIM (RRID:SCR_002512) 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://rp-www.cs.usyd.edu.au/~yangpy/software/MFGE.html
A hybrid software system for feature selection and sample classification of high-dimensional datasets. It is designed for microarray but can be applied to any other high-dimensional datasets. It uses multiple filters to produce a normalized score for each feature. The score is an indication of the usefulness of each feature. It is then translated into a frequency map with more useful features receive a higher frequency in the map.
Proper citation: MF-GE (RRID:SCR_003509) Copy
http://bamview.sourceforge.net/
A free interactive display of read alignments in BAM data files that can be launched with Java Web Start or downloaded. This interactive Java application for visualizing the large amounts of data stored for sequence reads which are aligned against a reference genome sequence can be used in a number of contexts including SNP calling and structural annotation. It has been integrated into Artemis so that the reads can be viewed in the context of the nucleotide sequence and genomic features. The source code is available as part of the Artemis code which can be downloaded from GitHub.
Proper citation: BamView (RRID:SCR_004207) Copy
http://noble.gs.washington.edu/proj/genomedata/
A format for efficient storage of multiple tracks of numeric data anchored to a genome. The format allows fast random access to hundreds of gigabytes of data, while retaining a small disk space footprint. They have also developed utilities to load data into this format. Retrieving data from this format is more than 2900 times faster than a naive approach using wiggle files. A reference implementation in Python and C components is available here under the GNU General Public License. The software has only been tested on Linux and Mac systems.
Proper citation: Genomedata (RRID:SCR_004544) 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://www.bioconductor.org/packages/2.4/bioc/html/rMAT.html
Software package for normalizing and analyzing tiling arrays and ChIP-chip data. It is the R-version of a MAT program.
Proper citation: rMAT (RRID:SCR_001583) Copy
https://www.schrodinger.com/glide
Software package which approximates a complete search of the conformational, orientational, and positional space of the ligand in a given receptor. Used in drug development for predicting protein ligand binding modes and ranking ligands via high throughput virtual screening.
Proper citation: Glide (RRID:SCR_000187) Copy
https://bitbucket.org/dkessner/forqs
Software for forward-in-time population genetics simulation that tracks individual haplotype chunks as they recombine each generation. It also also models quantitative traits and selection on those traits.
Proper citation: forqs (RRID:SCR_000643) Copy
http://www.bioconductor.org/packages/release/bioc/html/MmPalateMiRNA.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software R package written for analysis of murine palate miRNA two-color expression data.
Proper citation: MmPalateMiRNA (RRID:SCR_001070) Copy
https://www.hgmd.cf.ac.uk/ac/introduction.php?lang=english
Curated database of known (published) gene lesions responsible for human inherited disease.
Proper citation: Human Gene Mutation Database (RRID:SCR_001621) Copy
http://cran.r-project.org/web/packages/circlize/
Software package that implements and enhances circular visualization in R. Due to natural born feature of R to draw statistical graphics, this package can provide more general and flexible way to visualize huge information in circular style.
Proper citation: circlize (RRID:SCR_002141) Copy
http://www.clcbio.com/products/clc-main-workbench/
A suite of software for DNA, RNA and protein sequence data analysis. The software allows for the analysis and visualization of Sanger sequencing data as well as gene expression analysis, molecular cloning, primer design, phylogenetic analyses, and sequence data management.
Proper citation: CLC Main Workbench (RRID:SCR_000354) Copy
https://mzmatch.sourceforge.net/MetAssign.php
Software that combines information from the mass-to-charge ratio, retention time and intensity of each peak, together with a model of the inter-peak dependency structure, to increase the accuracy of peak annotation. The software has been implemented as part of the mzMatch metabolomics analysis pipeline, which is available for download.
Proper citation: MetAssign (RRID:SCR_000092) Copy
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