Q Research Software: How to Update Trackers Automatically and Export Charts to PowerPoint
You want to turn data into insight and share this insight in a meaningful and instantly understandable way, right? But so much of your analysis and reporting time is spent on painful manual tasks - endlessly cutting, pasting and formatting data, checking for mistakes, redoing work, cobbling together different software, and trying to figure stuff out.
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And the problem is that these painful manual tasks don't leave you with much time to find and report your brilliant insights - stressful! We, at Displayr, don't think you should have to do these manual tasks at all. So, we combined our expertise in quantitative analysis and software engineering to create Displayr.
It's analysis and reporting software that automatically does all your painful manual tasks for you. It also makes it easy to do the tricky things that usually take ages to figure out - like machine learning, automatic text coding, statistical testing, driver analysis, and even building dashboards.
If you just have too much data, or if you need to concentrate on your research, our data processing team of specialists are here to help you. With an average of over 10 years experience per team member, we can handle projects of any size. All data processing is done in-house by a team member based in the US.
We are able to receive your data in many different formats: Excel, SPSS, Quantam, or almost any other file type. From there, depending on your needs, we will work in Uncle, SPSS Statistics, or Q Research Software. Data files can be downloaded directly from our portal in a wide variety of formats including SPSS, Excel, SAS, Fixed-width, Tab-Delimited, etc. You also have the option to download only open-ended responses. Crosstabs can be exported in a variety of formats including Excel, Word, PowerPoint, PDF, etc.
QIAGEN's real-time PCR cycler, the Rotor-Gene Q, combines multiple optimized design features to provide the outstanding performance and reliable results that your research demands. Together with optimized QIAGEN kits for real-time PCR, the Rotor-Gene Q enables streamlined analysis for a wide range of applications. Q-Rex Software is operating and analysis software for life science qPCR applications. A choice of plug-ins lets you add new functionality without affecting established workflows.
Whether your assay is based on intercalating dyes such as SYBR Green, probes such as hydrolysis (TaqMan), hybridization (FRET), Scorpion probes, or other multiplex chemistries, the Rotor-Gene Q meets your requirements. With up to 6 channels spanning UV to infrared wavelengths, the cycler delivers the widest optical range currently available (see table). In addition, the software allows you to create new excitation/detection wavelength combinations, which means that the Rotor-Gene Q is compatible with dyes you may use in the future.
The Rotor-Gene Q is engineered to reduce the need for maintenance and to maximize ease of use. This saves time and costs, and allows you to focus on your research; not on keeping the cycler up and running.
Q-Rex Software is operating and analysis operating and analysis software that drives Rotor-Gene Q hardware and facilitates experiment setup, data acquisition and basic and advanced analyses. The configurable nature of Q-Rex allows you to easily create the exact software configuration to meet your specific analysis needs without installing functions you will never use.
The comprehensive Rotor-Gene Q software package supports all current state-of-the art real-time analysis procedures from basic to advanced algorithms. This provides complete freedom to analyze your valuable experimental data and increases the reliability of your results. Data security is assured and all process steps are trackable from starting the run to exporting the results.
How to download q research software for market research analysis
Download q research software free trial and book a demo
Q research software download: automate data cleaning and coding
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Download q research software and discover the logic of Q
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Rotor-Gene ScreenClust HRM Software is an extension to the Rotor-Gene operating software. This software is the most powerful tool currently available for analysis of HRM data from the Rotor-Gene Q or Rotor-Gene 6000 cycler. By grouping samples into clusters, Rotor-Gene ScreenClust HRM Software opens a new dimension in HRM analysis for applications such as genotyping and mutation screening.
REST software 2009 is a standalone software tool for analysis of gene expression data from quantitative real-time PCR experiments. REST software 2009 is available for download under the "Resources" tab, and provides valuable analysis, including:
Traditional relative quantification enables estimation of gene expression. However, this method does not provide statistical information that is suitable for comparing expression in groups of treated and untreated samples in a robust manner. The integrated randomization and bootstrapping methods used in REST software 2009 test the statistical significance of calculated expression ratios and can be used even when the data includes outliers.
REST software 2009 applies a mathematic model that takes into account the different PCR efficiencies of the gene of interest and reference genes. Compared to using a single reference gene, using multiple reference genes for normalization can improve the reliability of results.
Rotor-Gene AssayManager is a software for routine testing. The core application is complemented by a selection of plug-ins that contain assay-type-specific analysis and visualization of the results for fully automated real-time PCR analysis. Further information is available from the following links:
There are several features available to allow exporting data across platforms to a variety of software packages. Sample names can easily be imported into the Rotor-Gene Q Excel sample sheets. By using a function "Export to Excel" the software automatically exports any results table in the software to Excel. Furthermore, reports can now be exported as Word files, which make the data compatible with any Microsoft office/Mac application. Reports can also be saved or sent in HTML format. All figures and graphs can be exported as Jpeg or Bitmap files for use in any desktop publishing software.
Yes, data can be analyzed on the Rotor-Gene Q while a run is in progress, allowing to save time for planning and setting up new experiments. Multiple copies of the Rotor-Gene Q software can be opened simultaneously during a run allowing analysis of previous experiments while the system is running.
Yes. If the reaction efficiency between two PCR runs is not expected to vary, importing a standard curve from a previous run allows to estimate concentrations when a standard curve for the current run is not available. Curves can be imported from another channel, or from another run by clicking on 'Import Curve' in the Rotor-Gene Q software. Standard curves can be adjusted such that only the efficiency of the source curve is imported into the current run. Whether a standard curve should be adjusted depends on the PCR chemistry used. To adjust a standard curve, use a reference with a known concentration in the target run.
The Rotor-Gene Q software version v2.2 and lower versions require a computer with Windows XP or Vista operating systems. The Rotor-Gene Q software v2.3 or higher versions can run with Windows XP or Windows 7 32-bit and 64-bit operating systems.
Rotor-Gene 6000 software requires a computer with Windows XP or Vista operating system. QIAGEN will no longer support Rotor-Gene 3000 instruments and Rotor-Gene 6.0 software starting from January 1, 2014
Once all melt curves are normalized, they are on a comparable basis. To make the information within each curve more useful for comparison, each curve is differentiated. The Residuals Plot is a plot of the difference between each sample and the composite median of all the samples after differentiation. The Residuals Plot of the Rotor-Gene ScreenClust HRM Software is different from a "Difference Plot" known from standard HRM software packages.
Q is a computer software package for molecular dynamics (MD) simulation (current release: Q6). Unlike other MD codes, it has specialized since its conception (Marelius et al. 1998) on three specific types of free energy calculations. These calculations are based on the methods: empirical valence bond (EVB), free energy perturbation (FEP), and linear interaction energy (LIE), as well as, more recently, also path integral calculations using the bisection quantum classical path (BQCP) approach.
The software provides one main utility for molecular dynamics called qdyn, and various subprograms such as qprep (to prepare input files from X-ray coordinates), qfep (to process MD calculations for FEP), and others.
QDA Miner Lite is a free and easy-to-use version of our popular computer-assisted qualitative analysis software. It can be used for the analysis of textual data such as interview and news transcripts, open-ended responses, etc. as well as for the analysis of still images. It offers basic CAQDAS features such as:
As Q methodology matures, Q scholars have witnessed the development of tools for Q sorting and factor analyzing Q sorts. Regarding concourse statements, however, some scholars failed even to mention how they constructed the concourse in their research. Gleaning concourse statements and sampling from the statements requires persistent efforts from Q researchers. Software for these tasks could lead to more effective Q studies. To expand Q as a tool for solving urgent problems in society or as a pedagogical tool in the classroom, Q researchers need to implement their Q studies with swiftness. Researchers may need a tool to accelerate the entire process. This article describes MarginNote 3 for Mac users, QDAMiner Lite for PC users, Dedoose for web users, and Weava extension for Google Chrome web browser users. These tools, including iThoughtsX, quickly categorize statements into themes. Q researchers are able to tap text mining algorithms like LDA (Latent Dirichlet Allocation) and R's widyr package thus quickly revealing aspects of a topic that may have been neglected or missed and retrieve statements that represent those same aspects.