Ten steps to get started in Genome Assembly and Annotation

As a part of the ELIXIR-EXCELERATE efforts in capacity building, we present here 10 steps to facilitate researchers getting started in genome assembly and genome annotation. The guidelines given are broadly applicable, intended to be stable over time, and cover all aspects from start to finish of a...

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Bibliographic Details
Authors: Dominguez del Angel, Victoria, Hjerde, Erik, Sterck, Lieven, Capella-Gutierrez, Salvador, Notredame, Cederic, Vinnere Pettersson, Olga, Amselem, Joelle, Bouri, Laurent, Bocs, Stephanie, Klopp, Christophe, Gibrat, Jean-Francois, Vlasova, Anna, Leskosek, Brane L., Soler, Lucile, Binzer-Panchal, Mahesh, Lantz, Henrik
Format: article
Publication Date:2018
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/115970
Online Access:https://hdl.handle.net/2117/115970
https://dx.doi.org/10.12688/f1000research.13598.1
Access Level:Open access
Keyword:Genome
DNA--Analysis
ELIXIR-EXCELERATE
Genome assembly
Genome annotation
DNA
Genomes
ADN--Anàlisi
Àrees temàtiques de la UPC::Ciències de la salut
Description
Summary:As a part of the ELIXIR-EXCELERATE efforts in capacity building, we present here 10 steps to facilitate researchers getting started in genome assembly and genome annotation. The guidelines given are broadly applicable, intended to be stable over time, and cover all aspects from start to finish of a general assembly and annotation project. Intrinsic properties of genomes are discussed, as is the importance of using high quality DNA. Different sequencing technologies and generally applicable workflows for genome assembly are also detailed. We cover structural and functional annotation and encourage readers to also annotate transposable elements, something that is often omitted from annotation workflows. The importance of data management is stressed, and we give advice on where to submit data and how to make your results Findable, Accessible, Interoperable, and Reusable (FAIR).