User Tools

Site Tools


data_type:image:quantitative_electrophoresis

Image- Quantitative Electrophoresis

MeSH ID: D004586

Description:
An electrochemical process in which macromolecules or colloidal particles with a net electric charge migrate in a solution under the influence of an electric current.

Best practice for sharing this type of data:
Gel images should be high resolution 16-bit grayscale images, saved as GEL or IMG/IMF files (these contain additional grayscale calibration data) or as a 16-bit TIFF file. Ensure that the same imaging parameters are used for all gels from that study, and process them all in the same orientation. Limit image editing to cropping, mirroring, or rotation.

Any tabular data obtained by quantifying brightness/density of gel features should be saved as a .txt or .csv file. The first row(s) should contain information about the dataset, such as the data file name, author, today's date, when the data within the file were last modified, and companion file names. Please also state which symbol has been used to denote missing data (NA is preferred). Column headings should describe the content of each column and contain only numbers, letters, and underscores - no spaces or special characters. Lowercase letters are preferred. Row names should be consistent with those used in the article and in other related datasets.

Most suitable repositories:
Gel image data may be added to PRIDE, Proteome-pI, and Real-Time Quantitative PCR Primer Database.

Best practice for indicating re-use of existing data:
For public datasets please provide a DOI or other stable identified for the dataset itself *and* include a citation for the dataset in the reference list. Be sure to indicate exactly which data has been re-used, particularly when multiple versions of the dataset exist. In many cases, this is best achieved by sharing the code used to extract the part of the data that you analyzed. In some cases it may be best to share the exact dataset(s) you analyzed as well.

For access-controlled data authors should provide a link to instructions for obtaining access (e.g. here is the information page for ADNI (Alzheimer's Disease Neuroimaging Initiative): http://adni.loni.usc.edu/data-samples/access-data/).

When re-using a private dataset from a previous study please contact the data owners to discuss how the data can be made public.

Most suitable repositories:
Not applicable

data_type/image/quantitative_electrophoresis.txt · Last modified: 2021/07/26 20:33 by tim