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http://www.jwatcher.ucla.edu

Software Java tool for quantitative analysis of behavior. Used to address any theoretical problem that requires complex sequence of actions to be scored by human observer. Runs on microcomputer providing Java Virtual Machine[TM] and has been tested on Windows[TM] and Macintosh[TM] systems. Legacy version (version 0.9) works on older systems (Macintosh OS-9 and Windows-98), while Version 1.0 works well on Macintosh OS-X and Windows XP systems. JWatcher Video works best on Windows XP systems and has reduced functionality running in Macintosh OS-X. JWatcher-Palm can be used to acquire data on Palm OS[TM] equipped device and analyze it on your main computer.

Proper citation: JWatcher (RRID:SCR_017595) Copy   

•   Source: SciCrunch Registry

https://github.com/XSLiuLab/tumor-immunogenicity-score

Repository to share analysis procedure, data and help readers or reviewers to know more detail of this work, reproduce or make use of results they are interested in.

Proper citation: TIGS (RRID:SCR_017565) Copy   

•   Source: SciCrunch Registry

http://chemrich.fiehnlab.ucdavis.edu/

Software tool for chemical similarity enrichment analysis of metabolomics datasets. Used in studies to uncover biological mechanisms in organisms under genetic or environmental stress in system biology manner or finding risk factors for chronic diseases in exposome wise association studies using blood specimens. Allows users to realize pathway analysis.

Proper citation: ChemRICH (RRID:SCR_017609) Copy   

•   Source: SciCrunch Registry

http://vbspt.sourceforge.net/

Software package for analysis of single particle diffusion trajectories, where diffusion constants switch randomly according to Markov process. Analytical tool to combine information from thousands of short single-molecule trajectories of intracellularly diffusing proteins. Has ability to learn number of diffusive states directly from data, in addition to model parameters such as transition rates and diffusion constants.

Proper citation: vbSPT (RRID:SCR_017554) Copy   

•   Source: SciCrunch Registry

http://sydney.edu.au/medicine/bosch/facilities/molecular-biology/nucleic-acid/corbett-rotor-gene.php

Rotor-Gene real-time analysis software system for ROTOR GENE 6000 REAL-TIME PCR machine. Software has been refined to provide an intuitive, Wizard driven interface, enabling flexibility and automation. Build-in extensive analysis, graphing and statistical functions. Unlimited use software license for Windows XP, Pentium IV (2GHz) or higher PC.

Proper citation: Rotor-Gene 6000 series software (RRID:SCR_017552) Copy   

•   Source: SciCrunch Registry

https://www.adinstruments.com/products/labchart

LabChart data analysis software creates a platform for all of your recording devices to work together, allowing you to acquire biological signals from multiple sources simultaneously and apply advanced calculations and plots as your experiment unfolds. LabChart Reader is free version of software that allows to analyse with some limitations. LabChart Reader doesn’t allow saving of data - export image only. Has data pad for analysis.

Proper citation: LabChart Reader (RRID:SCR_017551) Copy   

•   Source: SciCrunch Registry

https://www.mesquiteproject.org/

Software tool as modular system for evolutionary analysis. Software for evolutionary biology, designed to organize and analyze comparative data about organisms. Its emphasis is on phylogenetic analysis, but some of its modules concern population genetics, while others do non-phylogenetic multivariate analysis. Analyses available depend on modules installed. Comes with many packages already installed.

Proper citation: Mesquite (RRID:SCR_017994) Copy   

•   Source: SciCrunch Registry

https://www.volumegraphics.com/de/produkte/vgstudio.html

Software tool for analysis and processing of µCT data, e.g. compiling virtual 3D models of morphological structures in site by Volume Graphics GmbH. Used for visualization of CT data.

Proper citation: VG Studio MAX (RRID:SCR_017997) Copy   

•   Source: SciCrunch Registry

https://www.libreoffice.org/

Open source software application with data analysis tools and spreadsheet templates used to manage, process and visualize data. LibreOffice Calc is spreadsheet component of LibreOffice software package developed by Document Foundation.

Proper citation: LibreOfficeCalc (RRID:SCR_018013) Copy   

•   Source: SciCrunch Registry

https://www.bio-rad.com/en-us/product/bio-plex-200-systems?ID=715b85f1-6a4e-41b3-b5d9-80202d779e13

Suspension array system which offers protein and nucleic acid researchers multiplex assay solution permiting analysis of up to 100 biomolecules in single sample.

Proper citation: Bio-Rad: Bio-Plex 200 System (RRID:SCR_018026) Copy   

•   Source: SciCrunch Registry

https://pedsresearch.org/uploads/pages/img/LuminexManual_LX100.pdf

Flow cytometry analyzer system for individual labs that performs up to 100 different tests in single reaction volume and can use either magnetic beads or plain polystyrene beads.

Proper citation: Luminex: 100 Flow Cytometry Analyzer System (RRID:SCR_018025) Copy   

•   Source: SciCrunch Registry

https://github.com/shanemomara/omaraneurolab/tree/master/NeuroChaT

Software open source python toolbox to analyse neuronal signals recorded in vivo in freely behaving animal, with particular emphasis on spatial coding. Can be used as application programming interface, or as general user interface, and is designed to help simplify adoption of standardised analyses for behavioural neurophysiology and facilitate open data sharing and collaboration between laboratories.

Proper citation: NeuroChaT (RRID:SCR_018020) Copy   

•   Source: SciCrunch Registry

https://github.com/hariszaf/pema

Software as flexible pipeline for environmental DNA metabarcoding analysis of 16S/18S rRNA, ITS and COI marker genes. Performs reads’ pre-processing, clustering to (M)OTUs and taxonomy assignment for 16S rRNA and COI marker gene data. Allows users to explore alternative algorithms for specific steps of pipeline without need of complete re-execution.

Proper citation: PEMA (RRID:SCR_017676) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/cnv-webstore

Integrated platform to analyse, store, visualise and interpret CopyNumber Variation data. Analysis is supported for Illumina data, all CNV-reports and raw data can be imported after third-party analysis. Platform to streamline processing and downstream interpretation of microarray data in clinical context. Analysis tools include CNV analysis, parent of origin and uniparental disomy detection. Interpretation tools include data visualisation, gene prioritisation, automated PubMed searching, linking data to several genome browsers and annotation of CNVs based on several public databases.

Proper citation: CNV webstore (RRID:SCR_018007) Copy   

•   Source: SciCrunch Registry

https://www.mbfbioscience.com/microdynamix

Software tool for dendritic spine analysis that enables to visualize and quantify spine morphology over time. After loading image data acquired at different time points from in vivo and in vitro imaging sessions, automatically aligns images in 3D, then reconstructs dendritic branches, detects dendritic spines, and identifies important metrics such as length, thickness, and overall number, for accurate quantitative comparison.

Proper citation: MicroDynamix (RRID:SCR_017671) Copy   

•   Source: SciCrunch Registry

http://rulai.cshl.edu/tools/ESE

A web-based analysis service for identifying exonic splicing enhancers in eukaryotic genes. ESEfinder accept sequences in the FASTA format. A typical mammalian gene is composed of several relatively short exons that are interrupted by much longer introns. To generate correct mature mRNAs, the exons must be identified and joined together precisely and efficiently, in a process that requires the coordinated action of five small nuclear (sn)RNAs (U1, U2, U4, U5 and U6) and more than 60 polypeptides. The inaccurate recognition of exon/intron boundaries or the failure to remove an intron generates aberrant mRNAs that are either unstable or code for defective or deleterious protein isoforms. Exonic enhancers are thought to serve as binding sites for specific serine/arginine-rich (SR) proteins, a family of structurally related and highly conserved splicing factors characterized by one or two RNA-recognition motifs (RRM) and by a distinctive C-terminal domain highly enriched in RS dipeptides (the RS domain). The RRMs mediate sequence-specific binding to the RNA, and so determine substrate specificity, whereas the RS domain appears to be involved mainly in protein-protein interactions. SR proteins bound to ESEs can promote exon definition by directly recruiting the splicing machinery through their RS domain and/or by antagonizing the action of nearby silencer elements. Sponsors: ESEfinder is supported by the Cold Spring Harbor Laboratory.

Proper citation: Exonic Splicing Enhancer Finder (RRID:SCR_002835) Copy   

•   Source: SciCrunch Registry

http://romi.bu.edu/elisa/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. ELISA is an online database that combines functional annotation with structure and sequence homology modeling to place proteins into sequence-structure-function neighborhoods. The atomic unit of the database is a set of sequences and structural templates that those sequences encode. A graph that is built from the structural comparison of these templates is called PDUG (protein domain universe graph). It introduces a method of functional inference through a probabilistic calculation done on an arbitrary set of PDUG nodes. Further, all PDUG structures are mapped onto all fully sequenced proteomes allowing an easy interface for evolutionary analysis and research into comparative proteomics. ELISA is the first database with applicability to evolutionary structural genomics explicitly in mind.

Proper citation: Evolutionary Lineage Inferred from Structural Analysis (RRID:SCR_002343) Copy   

•   Source: SciCrunch Registry

http://sonorus.princeton.edu/hefalmp/

HEFalMp (Human Experimental/FunctionAL MaPper) is a tool developed by Curtis Huttenhower in Olga Troyanskaya's lab at Princeton University. It was created to allow interactive exploration of functional maps. Functional mapping analyzes portions of these networks related to user-specified groups of genes and biological processes and displays the results as probabilities (for individual genes), functional association p-values (for groups of genes), or graphically (as an interaction network). HEFalMp contains information from roughly 15,000 microarray conditions, over 15,000 publications on genetic and physical protein interactions, and several types of DNA and protein sequence analyses and allows the exploration of over 200 H. sapiens process-specific functional relationship networks, including a global, process-independent network capturing the most general functional relationships. Looking to download functional maps? Keep an eye on the bottom of each page of results: every functional map of any kind is generated with a Download link at the bottom right. Most functional maps are provided as tab-delimited text to simplify downstream processing; graphical interaction networks are provided as Support Vector Graphics files, which can be viewed using the Adobe Viewer, any recent version of Firefox, or the excellent open source Inkscape tool.

Proper citation: Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome (RRID:SCR_003506) Copy   

•   Source: SciCrunch Registry

http://bisearch.enzim.hu

BiSearch is a primer-design algorithm for DNA sequences. It may be used for both bisulfite converted as well as for original not modified sequences. You can search various genomes with the designed primers to avoid non-specific PCR products by our fast ePCR method. This is especially recommended when primers are designed to amplify the highly redundant bisulfite treated sequences. It has the unique property of analyzing the primer pairs for mispriming sites on the bisulfite-treated genome and determines potential non-specific amplification products with a new search algorithm. The options of primer-design and analysis for mispriming sites can be used sequentially or separately, both on bisulfite-treated and untreated sequences. In silico and in vitro tests of the software suggest that new PCR strategies may increase the efficiency of the amplification.

Proper citation: BiSearch: Primer Design and Search Tool (RRID:SCR_002980) Copy   

•   Source: SciCrunch Registry

http://babelomics.bioinfo.cipf.es

An integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling. Version 4 of Babelomics integrates primary (normalization, calls, etc.) and secondary (signatures, predictors, associations, TDTs, clustering, etc.) analysis tools within an environment that allows relating genomic data and/or interpreting them by means of different functional enrichment or gene set methods. Such interpretation is made not only using functional definitions (GO, KEGG, Biocarta, etc.) but also regulatory information (from Transfac, Jaspar, etc.) and other levels of regulation such as miRNA-mediated interference, protein-protein interactions, text-mining module definitions and the possibility of producing de novo annotations through the Blast2GO system . Babelomics has been extensively re-engineered and now it includes the use of web services and Web 2.0 technology features, a new user interface with persistent sessions and a new extended database of gene identifiers. In this release GEPAS and Babelomics have integrated into a unique web application with many new features and improvements: * Data input: import and quality control for the most common microarray formats * Normalization and base calling: for the most common expression, tiling and SNP microarrays (Affymetrix and Agilent). * Transcriptomics: diverse analysis options that include well established as well as novel algorithms for normalization, gene selection, class prediction, clustering and time-series analysis. * Genotyping: stratification analysis, association, TDT. * Functional profiling: functional enrichment and gene set enrichment analysis with functional terms (GO, KEGG, Biocarta, etc.), regulatory (Transfac, Jaspar, miRNAs, etc.), text-mining, derived bioentities, protein-protein interaction analysis. * Integrative analysis: Different variables can be related to each other (e.g. gene expression to gnomic copy number) and the results subjected to functional analysis. Platform: Online tool

Proper citation: Babelomics (RRID:SCR_002969) Copy   

•   Source: SciCrunch Registry