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Publication

Geocomputational approaches for the analysis of Next-Generation Sequencing (NGS) and multi-scale data in landscape genomics

Stéphane Joost, Kevin Leempoel, Sylvie Stucki
2013
Conference Papers

Résumé

The application of geocomputation to the field of landscape genomics (Manel et al. 2010) permits to carry out demanding computational tasks that recently emerged because of the advent of large Next-Generation Sequencing data. When investigating the genetic mechanisms of evolution in spatially distributed plants or animals, geocomputation also proves to be useful to process many association models (gene x environment) in a multi-scale context.

Source officielle

https://infoscience.epfl.ch/entities/publication/f8798041-b6b6-4eab-bd56-ae5f11bdeb26

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Stéphane Joost, Kevin Leempoel, Sylvie Stucki
2013
Conference Papers

Résumé

Source officielle

https://infoscience.epfl.ch/entities/publication/f8798041-b6b6-4eab-bd56-ae5f11bdeb26

À propos de ce résultat

Proximité ontologique

Biologie

Génétique: Génomique

Concepts associés (15)

Séquençage de l'ADN

cadre|Résultat du séquençage par la méthode de Sanger. L'ordre de chaque bande indique la position d'un nucléotide A,T,C ou G Le séquençage de l'ADN consiste à déterminer l'ordre d'enchaînement des nucléotides pour un fragment d’ADN donné. La séquence d’ADN contient l’information nécessaire aux êtres vivants pour survivre et se reproduire. Déterminer cette séquence est donc utile aussi bien pour les recherches visant à savoir comment vivent les organismes que pour des sujets appliqués.

Massive parallel sequencing

Massive parallel sequencing or massively parallel sequencing is any of several high-throughput approaches to DNA sequencing using the concept of massively parallel processing; it is also called next-generation sequencing (NGS) or second-generation sequencing. Some of these technologies emerged between 1993 and 1998 and have been commercially available since 2005. These technologies use miniaturized and parallelized platforms for sequencing of 1 million to 43 billion short reads (50 to 400 bases each) per instrument run.

Third-generation sequencing

Third-generation sequencing (also known as long-read sequencing) is a class of DNA sequencing methods currently under active development. Third generation sequencing technologies have the capability to produce substantially longer reads than second generation sequencing, also known as next-generation sequencing. Such an advantage has critical implications for both genome science and the study of biology in general. However, third generation sequencing data have much higher error rates than previous technologies, which can complicate downstream genome assembly and analysis of the resulting data.

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Publications associées (31)

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Geocomputational approaches for the analysis of Next-Generation Sequencing (NGS) and multi-scale data in landscape genomics

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