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National Center for Advancing Translational Sciences

NCATS

Assay Guidance Manual Webtools

Select a .csv file

Browse...

or load a sample dataset

Stat type:

Potency Efficacy

Input Dataset

Output Dataset

Statistics

MSRn Table

Bland-Altman Figure

Correlation Figure

Download Tables

Download Report

Replicate-Experiment Tutorial

The Replicate-Experiment App is a tool for generating appropriate assay statistics and visualizations to easily evaluate and document assay reproducibility. This tool can also be used to validate minor changes to assay protocols. More information regarding the Replicate-Experiment Study, including how and when it should be performed, can be found in the Assay Validation Chapter Section 4 and MSR Chapter, Section 2 of the AGM.

In its current form, the application requires the input data file to be a .csv file. Additionally, the input data file has the following requirements.

Input File Requirements (Potency or Efficacy Data)

The input data file must have at least three columns with the following column titles. These titles are case-sensitive and must be spelled exactly as seen below. The input data set can have more than three columns, but the following columns are REQUIRED :
1. Sample
2. Exp1
3. Exp2
Optionally, you can include an additional column(s) to your Input Dataset. Like before, the title of this column is case-sensitive and must be spelled exactly as seen below:
1. toExclude: Logical values to highlight which rows to exclude
2. asControl: Logical values to highlight which rows represent control trials
For the required Sample column, the data type is not restricted. Your values can be numbers or strings. Please avoid using logical values here without any additional strings appended to them.
The required columns Exp1 and Exp2 must only contain numerical values. This means that there can be no letters included in any of the data values. Additionally, please do not use any other special characters other than minus signs and decimals. If there are values of Not a number (NaN) in your dataset, set those to blank instead. Examples are included below of what does and does not constitute numerical values for the purposes of this application.

Accepted	Unaccepted
1	3xc9*
3.12	'24'
-0.54	skip
	(454)

For the Optional toExclude and asControl columns, make sure that the values entered into these columns are logical. Specifically, for a given row, only write the words: TRUE or FALSE. It is also acceptable to not write anything at all. For example, if you are selecting samples to be excluded, write the word TRUE in the rows you want to exclude under the toExclude column. For all other rows in the toExclude column, keep them blank or write the word FALSE.

Note: Input Data Units

Please use whatever units you would like for the columns of Exp1 and Exp2 in the input dataset. The app will function as expected as long as units are consistent; the data displayed will always be in the same units as the input data. At present there is no plan to offer any “in-app” unit conversions of the data.

Exporting Tables

At the bottom of page, there is a large rectangular button that says Download Tables. This will download the Output Dataset Table and the Statistics Table.

Exporting Figures

At the top right of each figure, there are four icons that allow further interaction with the image. The leftmost icon (which looks like a camera), is the button to Download plot as a png. This is the current best method for downloading each individual image to your downloads folder. As a note, if you choose to interact with the image such as zooming and panning, the exported png will be of the same view as you seen after the manipulation..i.e. the same level of zoom and direction of panning.

Plotly Modebar

Download Sample Datasets

Select a .csv file

Browse...

or load a sample dataset

Control Charting Tutorial

The Control Charting App is a tool for generating figures and statistics that assess assay performance across runs. The goal of control charting is to identify when and how your assay changes over time. More information regarding Control Charting, including how and when it should be performed, can be found in Production Monitoring Section and MSR Chapter, Section 2 of the AGM.

In its current form, the application requires that the input data file to be a .csv file. Additionally, the input data file has the following requirements.

Input File Requirements

The input data file must have at least two columns with the following column titles. These titles are case-sensitive and must be spelled exactly as seen below. The input data set can have more than three columns, but the following columns are REQUIRED :
1. Run
2. Data
Optionally, you can include an additional column(s) to your Input Dataset. Like before, the title of this column is case-sensitive and must be spelled exactly as seen below:
1. Replicate_ID: Category of replicates for the data being
For the required Run column, the data type is not restricted. Your values can be numbers or strings. Please avoid using logical values here without any additional strings appended to them.
The required column Data must only contain numerical values. This means that there can be no letters included in any of the data values. Additionally, please do not use any other special characters other than minus signs and decimals. If there are values of Not a number (NaN) in your dataset, set those to blank instead. Examples are included below of what does and does not constitute numerical values for the purposes of this application.

Accepted	Unaccepted
1	3xc9*
3.12	'24'
-0.54	skip
	(454)

For the optional Replicate_ID columns, please use only numerical values.

Note: Input Data Units

Exporting Tables

At the bottom of page, there is a large rectangular button that says Download Tables. This will download the Output Dataset Table and the Statistics Table.

Exporting Figures

Plotly Modebar

Download Sample Datasets

Privacy Notice Statement

Privacy Notice Statement

This is a government resource provided by the National Institutes of Health (NIH) National Center for Advancing Translational Sciences (NCATS). Protecting your privacy is important to us. NCATS complies with the requirement for privacy and security established by the Office of Management and Budget (OMB), the Department of Health and Human Services (HHS), and the National Institutes of Health (NIH). This page outlines our privacy policy as it applies to our site, NCATS Assays Guidance Manual (NCATS AGM Webtools), as well as third-party sites and other publicly available NCATS resources or applications.

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