Publication

ReGLUation of cGAS

Andrea Ablasser
2016
Journal Articles

Abstract

The detection of cytosolic DNA by the sensor cGAS triggers potent antiviral responses. New data now propose that cGAS is regulated on a post-translational level by glutamylation.

Official source

https://infoscience.epfl.ch/entities/publication/3873638a-81ae-4145-b8df-bfe7912a9e5a

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Andrea Ablasser
2016
Journal Articles

Abstract

The detection of cytosolic DNA by the sensor cGAS triggers potent antiviral responses. New data now propose that cGAS is regulated on a post-translational level by glutamylation.

Official source

https://infoscience.epfl.ch/entities/publication/3873638a-81ae-4145-b8df-bfe7912a9e5a

About this result

Related concepts (7)

Data

In common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures.

Data analysis

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.

Big data

Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe big data is the one associated with a large body of information that we could not comprehend when used only in smaller amounts.

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