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http://www.mcbainsystems.com/Leica_QWin.php

Software tool as image analysis and processing solution for quantitative microscopy which provides control of Leica microscopes and Leica digital cameras. Capability ranges from simple interactive image measurements to automatic, multi-parameter measurements. Available in editions including QWin Runner, QWin Lite, QWin Plus, QWin Standard and QWin Professional.

Proper citation: Leica QWin (RRID:SCR_018940) Copy   

•   Source: SciCrunch Registry

https://past.en.lo4d.com/windows

Software package for education and data analysis. Used for scientific data analysis, with functions for data manipulation, plotting, univariate and multivariate statistics, ecological analysis, time series and spatial analysis, morphometrics and stratigraphy.

Proper citation: PAST (RRID:SCR_019129) Copy   

•   Source: SciCrunch Registry

http://msquant.sourceforge.net/

Software tool for quantitative proteomics,mass spectrometry and processes spectra and LC runs to find quantitative information about proteins and peptides. Though automated it also allows manual inspection and change.Entry in MSQuant is Mascot search engine.

Proper citation: MSQuant (RRID:SCR_019206) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/biomaRt/

Software package that integrates BioMart data resources with data analysis software in Bioconductor. Can annotate range of gene or gene product identifiers including Entrez Gene and Affymetrix probe identifiers with information such as gene symbol, chromosomal coordinates, Gene Ontology and OMIM annotation. Enables retrieval of genomic sequences and single nucleotide polymorphism information, which can be used in data analysis.

Proper citation: biomaRt (RRID:SCR_019214) Copy   

•   Source: SciCrunch Registry

https://www.openepi.com/Menu/OE_Menu.htm

Web based, open source, operating system independent series of programs designed for use in public health and medicine for training or practice that provide number of epidemiologic and statistical tools for summary data. Developed in JavaScript and HTML, and can be run in modern web browsers. Program can be run from OpenEpi website or downloaded and run without web connection.

Proper citation: OpenEpi (RRID:SCR_021913) Copy   

•   Source: SciCrunch Registry

https://www.statmodel.com

Statistical modeling program that provides a wide choice of models, estimators, and algorithms in a program that has graphical displays of data and analysis results. Mplus allows the analysis of both cross-sectional and longitudinal data, single-level and multilevel data, data that come from different populations with either observed or unobserved heterogeneity, and data that contain missing values. Analyses can be carried out for observed variables that are continuous, censored, binary, ordered categorical (ordinal), unordered categorical (nominal), counts, or combinations of these variable types. In addition, Mplus has extensive capabilities for Monte Carlo simulation studies, where data can be generated and analyzed according to any of the models included in the program. The Mplus modeling framework draws on the unifying theme of latent variables. The generality of the Mplus modeling framework comes from the unique use of both continuous and categorical latent variables. Continuous latent variables are used to represent factors corresponding to unobserved constructs, random effects corresponding to individual differences in development, random effects corresponding to variation in coefficients across groups in hierarchical data, frailties corresponding to unobserved heterogeneity in survival time, liabilities corresponding to genetic susceptibility to disease, and latent response variable values corresponding to missing data. Categorical latent variables are used to represent latent classes corresponding to homogeneous groups of individuals, latent trajectory classes corresponding to types of development in unobserved populations, mixture components corresponding to finite mixtures of unobserved populations, and latent response variable categories corresponding to missing data.

Proper citation: MPlus (RRID:SCR_015578) Copy   

•   Source: SciCrunch Registry

https://www.metaboanalyst.ca/

Web server for statistical, functional and integrative analysis of metabolomics data. Web based tool suite used for metabolomic data processing, normalization, multivariate statistical analysis, and data annotation, biomarker discovery and classification.

Proper citation: MetaboAnalyst (RRID:SCR_015539) Copy   

•   Source: SciCrunch Registry

http://www.thegpm.org/tandem/

Software tool that can match tandem mass spectra with peptide sequences, in process known as protein identification. Database search engine for matching tandem mass spectra with protein sequences. Command line tool for matching tandem mass spectra with peptide sequences.

Proper citation: X!Tandem (RRID:SCR_015645) Copy   

•   Source: SciCrunch Registry

https://jasp-stats.org/

Statistics software that performs common frequentist analyses and Bayesian analyses. It conducts ANOVA, linear regression, and correlation, among other statistical tests.

Proper citation: JASP (RRID:SCR_015823) Copy   

•   Source: SciCrunch Registry

http://apps.cytoscape.org/apps/mcode

Software that clusters a given network based on topology to find densely connected regions. It can be used to find protein complexes and parts of pathways in protein-protein interaction networks or protein families in protein similarity networks.

Proper citation: MCODE (RRID:SCR_015828) Copy   

•   Source: SciCrunch Registry

https://www.github.com/arq5x/poretools

Software toolkit for analyzing nanopore sequence data.

Proper citation: Poretools (RRID:SCR_015879) Copy   

•   Source: SciCrunch Registry

http://autodock.scripps.edu/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 23,2023.Software for automated docking analysis to precalculate the set of grids describing the target protein. It is a part of automated molecular modeling simulation software AutoDock.

Proper citation: Autogrid (RRID:SCR_015982) Copy   

•   Source: SciCrunch Registry

https://gitlab.inria.fr/Phylophile/Treerecs

Open source, species and gene tree reconciliation software. Software integrated phylogenetic tool, from sequences to reconciliations. Used to correct, rearrange and reroot gene trees with regard to given species tree.

Proper citation: Treerecs (RRID:SCR_024497) Copy   

•   Source: SciCrunch Registry

https://www.evalue-calculator.com/evalue/

Web application as E-value calculator that compute E-values for variety of outcome measures, including risk ratios, odds ratios, rate ratios, risk differences, hazard ratios, and standardized mean differences.

Proper citation: Evalue (RRID:SCR_024506) Copy   

•   Source: SciCrunch Registry

http://www.biogazelle.com/qbaseplus

Software program for quantitative PCR (qPCR) data analysis based on geNorm and qBase technology.

Proper citation: qBasePLUS (RRID:SCR_003370) Copy   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

http://broadinstitute.github.io/picard/

Java toolset for working with next generation sequencing data in the BAM format.

Proper citation: Picard (RRID:SCR_006525) Copy   

•   Source: SciCrunch Registry

http://www-stat.stanford.edu/~tibs/SAM/

Software for genomic expression data mining using a statistical technique for finding significant genes in a set of microarray experiments.

Proper citation: SAM (RRID:SCR_010951) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.vub.ac.be/databases/databases.html

Downloadable data set designed to assess the performance of both multiple and pairwise (protein) sequence alignment algorithms, and is extremely easy to use. Currently, the database contains 2 sets, each consisting of a number of subsets with related sequences. It''s main features are: * Covers the entire known fold space (SCOP classification), with subsets provided by the ASTRAL compendium * All structures have high quality, with 100% resolved residues * Structure alignments have been derived carefully, using both SOFI and CE, and Relaxed Transitive Alignment * At most 25 sequences in each subset to avoid overrepresentation of large folds* Automated running, archiving and scoring of programs through a few Perl scripts The Twilight Zone set is divided into sequence groups that each represent a SCOP fold. All sequences within a group share a pairwise Blast e-value of at least 1, for a theoretical database size of 100 million residues. Sequence similarity is thus very low, between 0-25% identity, and a (traceable) common evolutionary origin cannot be established between most pairs even though their structures are (distantly) similar. This set therefore represents the worst case scenario for sequence alignment, which unfortunately is also the most frequent one, as most related sequences share less than 25% identity. The Superfamilies set consists of groups that each represent a SCOP superfamily, and therefore contain sequences with a (putative) common evolutionary origin. However, they share at most 50% identity, which is still challenging for any sequence alignment algorithm. Frequently, alignments are performed to establish whether or not sequences are related. To benchmark this, a second version of both the Twilight Zone and the Superfamilies set is provided, in which to each alignment problem a number of false positives, i.e. sequences not related to the original set, are added. Database specifications: * Current version: 1.65 (concurrent with PDB, SCOP and ASTRAL) * Twilight Zone set (with false positives): 209 groups, 1740 (3280) sequences, 10667 (44056) related pairs * Superfamilies set (with false positives): 425 groups, 3280 (6526) sequences, 19092 (79095) related pairs

Proper citation: SABmark (RRID:SCR_011817) Copy   

•   Source: SciCrunch Registry

http://www.gpower.hhu.de/

Data analytics software to compute statistical power analyses for many commonly used statistical tests in social and behavioral research. It can also be used to compute effect sizes and to graphically display the results of power analyses.

Proper citation: G*Power (RRID:SCR_013726) Copy   

•   Source: SciCrunch Registry

http://endnote.com

A software application which helps users build a bibliography as they write formatted papers, manuscripts and other research-rich documents. Users can search multiple databases and collect PDFs as references for papers, then organize them within EndNote. Bibliographies and citations can be compiled within Microsoft Word using built-in tools. Papers are stored within an EndNote library and can be shared with colleagues.

Proper citation: EndNote (RRID:SCR_014001) Copy   

•   Source: SciCrunch Registry