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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://sourceforge.net/projects/gemsim/
A software package for generating realistic simulated next-generation genome sequencing reads with quality score values. The software is written in Python with a command-line user interface.
Proper citation: GemSIM (RRID:SCR_000167) Copy
http://cran.r-project.org/src/contrib/Archive/iFad/
An R software package implementing a bayesian sparse factor model for the joint analysis of paired datasets, the gene expression and drug sensitivity profiles, measured across the same panel of samples, e.g. cell lines.
Proper citation: iFad (RRID:SCR_000271) Copy
http://bioinfo.unl.edu/gramcluster.php
Software implementing a fast and accurate progressive clustering algorithm that relies on a grammar-based sequence distance and is particularly useful in clustering large datasets.
Proper citation: GramCluster (RRID:SCR_000272) Copy
http://cran.r-project.org/src/contrib/Archive/postgwas/
A comprehensive software toolkit for post-processing, visualization and advanced analysis of GWAS results.
Proper citation: Postgwas (RRID:SCR_000156) Copy
https://github.com/davidliwei/RNASeqReadSimulator
A software tool to generate simulated single-end or paired-end RNA-Seq reads. # It allows users to randomly assign expression levels of transcripts and generate simulated single-end or paired-end RNA-Seq reads. # It is able to generate RNA-Seq reads that have a specified positional bias profile. # It is able to simulate random read errors from sequencing platforms. # The simulator consists of a few simple Python scripts. All scripts are command line driven, allowing users to invoke and design more functions.
Proper citation: RNASeqReadSimulator (RRID:SCR_000270) Copy
http://www.bioconductor.org/packages/release/bioc/html/MIMOSA.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software for modeling count data using Dirichlet-multinomial and beta-binomial mixtures with applications to single-cell assays.
Proper citation: MIMOSA (RRID:SCR_000184) Copy
http://acgt.cs.tau.ac.il/modent/
A computational tool that reconstructs gene regulatory networks from high throughput experimental data.
Proper citation: MODENT - A Tool For Reconstructing Gene Regulatory Networks (RRID:SCR_000220) Copy
http://www.ccdc.cam.ac.uk/Solutions/GoldSuite/Pages/GOLD.aspx
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software for virtual screening and identifying the binding mode of active molecules. It is comprehensively validated, widely used, and allows for high database enrichments. The software utilizes a novel methodology which avoids computationally expensive sequential docking of ligands into multiple protein structures.
Proper citation: GOLD (RRID:SCR_000188) Copy
https://omictools.com/context-likelihood-of-relatedness-tool
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software that infers regulatory interactions between transcription factors and their targets using a compendium of gene expression profiles.
Proper citation: Context Likelihood of Relatedness (RRID:SCR_000216) Copy
https://github.com/vahuynh/dynGENIE3
An algorithm for the inference of gene regulatory networks from expression data.
Proper citation: GENIE3 (RRID:SCR_000217) Copy
http://bonneaulab.bio.nyu.edu/networks.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Algorithm for learning parsimonious regulatory networks from systems biology data sets de novo. Software that utilizes inference algorithm to model genetic regulatory networks.Inferelator 2.0 is scalable framework for reconstruction of dynamic regulatory network models., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Inferelator (RRID:SCR_000218) Copy
http://cran.r-project.org/web/packages/c3net/index.html
Software package that allows inferring gene regulatory networks with direct physical interactions from microarray expression data using C3NET.
Proper citation: c3net (RRID:SCR_000212) Copy
http://www.uniklinikum-saarland.de/einrichtungen/fachrichtungen/humangenetik/software/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software tool for predicting granzyme B and caspase cleavage sites.
Proper citation: GraBCas (RRID:SCR_000205) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software package for the prediction of calpain cleavage sites.
Proper citation: GPS-Calpain Cleavage Detector (RRID:SCR_000202) Copy
http://www.ibridgenetwork.org/wustl/splinter
Software that detects and quantifies short IN/DELs as well as single nucleotide substitutions in pooled-DNA samples.
Proper citation: SPLINTER (RRID:SCR_005826) Copy
http://cran.r-project.org/web/packages/MetaQC/
Software for quality control and diagnosis for microarray meta-analysis. Quantitative quality control measures include: (1) internal homogeneity of co-expression structure among studies (internal quality control; IQC); (2) external consistency of co-expression structure correlating with pathway database (external quality control; EQC); (3) accuracy of differentially expressed gene detection (accuracy quality control; AQCg) or pathway identification (AQCp); (4) consistency of differential expression ranking in genes (consistency quality control; CQCg) or pathways (CQCp). For each quality control index, the p-values from statistical hypothesis testing are minus log transformed and PCA biplots were applied to assist visualization and decision. Results generate systematic suggestions to exclude problematic studies in microarray meta-analysis and potentially can be extended to GWAS or other types of genomic meta-analysis. The identified problematic studies can be scrutinized to identify technical and biological causes (e.g. sample size, platform, tissue collection, preprocessing etc) of their bad quality or irreproducibility for final inclusion / exclusion decision.
Proper citation: MetaQC (RRID:SCR_006000) Copy
http://www.bioconductor.org/packages/devel/bioc/html/deepSNV.html
Software package that provides quantitative variant callers for detecting subclonal mutations in ultra-deep (>=100x coverage) sequencing experiments. The algorithm is used for a comparative setup with a control experiment of the same loci and uses a beta-binomial model and a likelihood ratio test to discriminate sequencing errors and subclonal SNVs (single nucleotide variants).
Proper citation: deepSNV (RRID:SCR_006214) Copy
https://github.com/RGLab/pepStat
Software for statistical analysis of peptide microarrays. It uses an integrated analytical method for analyzing peptide microarray antibody binding data, from normalization through subject-specific positivity calls and data integration and visualization.
Proper citation: pepStat (RRID:SCR_006240) Copy
http://pathogenseq.lshtm.ac.uk/estmoi
A per-based software to estimate multiplicity of infection (MOI) in parasite genomic sequence data. It is primarily developed to address the limitations of current laboratory (PCR) based estimates of multiplicity using high throughput sequence data. It requires a BAM (alignment output of short reads to the reference genome), VCF (a file with information on variant calls) and FASTA (reference genome) files. # Short reads are aligned to a reference genome using BWA, BOWTIE, SMALT or other short read aligners to generate a BAM file. # Single Nucleotide Polymorphisms (SNPs) are then identified using SAMTools/BCFtools and stored in the VCF format. # The reference FASTA file is expected to be indexed using ''samtools faidx'' to generate a *.fai file. estMOI generates files containing MOI estimates for each SNP combinations (file with name *.log) and a summary for all chromosomes (file with name *.txt).
Proper citation: estMOI (RRID:SCR_006192) Copy
http://megasun.bch.umontreal.ca/People/lartillot/www/
A Bayesian Monte Carlo Markov Chain (MCMC) sampler software for phylogenetic reconstruction. Its main distinguishing feature is the underlying probabilistic model, CAT (Lartillot and Philippe, 2004). CAT is an infinite mixture model accounting for site-specific amino-acid or nucleotide preferences. It is well suited to phylogenomic studies using large multigene alignments., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: PhyloBayes (RRID:SCR_006402) Copy
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