Gigwa v2—Extended and improved genotype investigator | Zendy

Guilhem Sempéré | Zendy; Adrien Pétel | Zendy; Mathieu Rouard | Zendy; Julien Frouin | Zendy; Yann Hueber | Zendy; Fabien De Bellis | Zendy; Pierre Larmande | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Gigwa v2—Extended and improved genotype investigator

Author(s) -

Guilhem Sempéré,

Adrien Pétel,

Mathieu Rouard,

Julien Frouin,

Yann Hueber,

Fabien De Bellis,

Pierre Larmande

Publication year - 2019

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/giz051

Subject(s) - computer science , scalability , visualization , data science , web application , data visualization , population , software , genotyping , data management , data mining , world wide web , information retrieval , database , genotype , demography , sociology , programming language , biochemistry , chemistry , gene

The study of genetic variations is the basis of many research domains in biology. From genome structure to population dynamics, many applications involve the use of genetic variants. The advent of next-generation sequencing technologies led to such a flood of data that the daily work of scientists is often more focused on data management than data analysis. This mass of genotyping data poses several computational challenges in terms of storage, search, sharing, analysis, and visualization. While existing tools try to solve these challenges, few of them offer a comprehensive and scalable solution.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research