SOPs

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215 SOPs visible to you, out of a total of 415
No description specified

Creator: Dikshant Pradhan

Submitter: Dikshant Pradhan

No description specified

Creator: Dikshant Pradhan

Submitter: Dikshant Pradhan

No description specified

Creator: Dikshant Pradhan

Submitter: Dikshant Pradhan

No description specified

Creator: Dikshant Pradhan

Submitter: Dikshant Pradhan

No description specified

Creator: Dikshant Pradhan

Submitter: Dikshant Pradhan

This is the pdf of the Jupyter Notebook to allow looking at the notebook without installing anything.

This Jupyter notebook needs to be located in the same place as a folder "data" and a folder "classes" to run.

"data" must contain the csv with the raw data, see the example data that is provided (MM25nMGre2pNDKNADPHabsorbance340nm_cleaned.csv).

"classes" must contain the file "MMKinetics.py", which is provided here on FAIRDOMhub.

The notebook load the functions from MMKinetics.py and reads in the ...

This is the Jupyter Notebook to allow editing and working with the code.

Design an initial rate experiment in four steps

This script aims to help you design high-quality initial rate experiments. It uses the Michaelis-Menten equation to simulate data for an enzyme with unknown enzyme reaction parameters. Four steps are needed: 1. Estimate the enzyme reaction parameters

Input: estimates of Km and vmax

and indicate the enzyme concentration concentration you are planning to use. If you have no ...

This is the pdf of the Jupyter Notebook to allow looking at the notebook without installing anything.

Design an initial rate experiment in four steps

This script aims to help you design high-quality initial rate experiments. It uses the Michaelis-Menten equation to simulate data for an enzyme with unknown enzyme reaction parameters. Four steps are needed: 1. Estimate the enzyme reaction parameters

Input: estimates of Km and vmax

and indicate the enzyme concentration concentration you are planning ...

This is the Jupyter Notebook to allow editing and working with the code.

This Jupyter notebook needs to be located in the same place as a folder "data" and a folder "classes" to run.

"data" must contain the csv with the raw data, see the example data that is provided (MM25nMGre2pNDKNADPHabsorbance340nm_cleaned.csv).

"classes" must contain the file "MMKinetics.py", which is provided here on FAIRDOMhub.

The notebook load the functions from MMKinetics.py and reads in the csv file.

It requires ...

Standard Operating Procedure describes the labeling of eukaryotic RNA with aminoallyl labeled nucleotides via first strand cDNA synthesis followed by a coupling of the aminoallyl groups to either Cyanine 3 or 5 (Cy 3/Cy5) fluorescent molecules (published by THE INSTITUTE FOR GENOMIC RESEARCH )

Creators: Olga Krebs, Jeremy Hasseman , Emily Chen, Ivana Yang

Submitter: Olga Krebs

Next-Gen GPT Assay Protocol

Collection of Tissues at Necropsy of Short-Term Animals

Medium-Term Tissue Collection at Necropsy

Winter conditions for 5 weeks (6th october – 10th November): - Light on 12 hours per day - Turn off water heating - Feeding probably needs to be adjusted according to lower metabolism and feed intake in cold water

Spring condition (10th of November – 15th of December): - Water heating on - constant light (24hrs/day)

Vaccination (when and by whom?)

Transfer to sea-water (15th of December)

Last sampling for GenoSysFat in sea water (5th January – 25th of January).

Source: email with subject ...

Source: Tom Harvey [E- mail from Jon Olav 19 May 2016]

Use this template when you upload RNA sequencing data. Email : 31 May 2016 More columns need to be added PE/SE etc?

Describes the workflow used for preparation of a 16S rRNA gene amplicon (V3-V4 region) Library for sequencing on a MiSeq platform (Illumina) using V3 sequencing chemistry with 300 base pairs paired-end reads.

Gre2p activity monitored by NADPH absorbance using different enzyme concentrations. Activity is measured after different storage conditions (treatments) and in presence of different amounts of tween.

A python workflow is used to analyse the data and create a plot where the outcomes of the Selwyn test are plotted. It requires the following directory structure:

./SewlyntestforS19.py ./tween/M1.csv ./tween/M2.csv ./tween/M3.csv ./tween/M4.csv ./treatments/M1.csv ./treatments/M2.csv ./treatments/M3.csv ...

Gre2p activity monitored by NADPH absorbance using different enzyme concentrations. Activity is measured after different storage conditions (treatments) and in presence of different amounts of tween. Also analysis of DLS data of homogeneity of Gre2p samples measured before and after these treatments.

A python workflow is used to analyse the data and create a plot of the data. It requires the following directory structure:

./ScriptforS13andS18.py ./ScriptforS22.py ./ScriptforS15.py

and as ...

SOP describing how to perform Dynamic Light Scattering (DLS) measurements with Gre2p in cuvettes using a Zetasizer Nano DLS reader.

This file contains the script for the downstream scRNA-Seq analysis including quality control using the barcode ranking method together with the tool DropletUtils to exclude empty droplets and undetected genes as well as standard data processing (normalisation, variable feature identification, scaling, and dimensionality reduction) using tools of Seurat (v.3.2.2). After cluster annotation the %mtDNA was plotted for both datasets.

SOP describing how to perform an ITC (recurrent) single injections experiment with a MicroCal PEAQ ITC by Malvern.

Python workflow for the analysis of ITC-BIND, ITC-MIM and ITC-(r)SIM experiments. Organized in a *.zip folder. Requires the following directory structure:

./ITCanalysis.py ./input/BINDING/.apj ./input/BINDING/.csv ./input/KINETICS/.apj ./input/KINETICS/.csv ./scripts/bindingneu.py ./scripts/kinetics_neu.py

And can be executed by running python ITCanalysis.py in the directory. Filenames for the input *.apj and *.csv files are defined in ITCanalysis.py. The output directory is written by ...

SOP describing how to perform specific activity measurements with Gre2p in multiwell plates (96w) using an UV-Vis Plate reader (Synergy H1).

SOP describing how to perform activity measurements (inital rates) with Gre2p in multiwell plates (96w) using an UV-Vis Plate reader (Synergy H1).

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