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Approaches for in silico finishing of microbial genome sequences
- Source :
- Genetics and Molecular Biology, Volume: 40, Issue: 3, Pages: 553-576, Published: SEP 2017, Genetics and Molecular Biology, Vol 40, Iss 3, Pp 553-576, Genetics and Molecular Biology v.40 n.3 2017, Genetics and Molecular Biology, Sociedade Brasileira de Genética (SBG), instacron:SBG
- Publication Year :
- 2017
- Publisher :
- Sociedade Brasileira de Genética, 2017.
-
Abstract
- The introduction of next-generation sequencing (NGS) had a significant effect on the availability of genomic information, leading to an increase in the number of sequenced genomes from a large spectrum of organisms. Unfortunately, due to the limitations implied by the short-read sequencing platforms, most of these newly sequenced genomes remained as “drafts”, incomplete representations of the whole genetic content. The previous genome sequencing studies indicated that finishing a genome sequenced by NGS, even bacteria, may require additional sequencing to fill the gaps, making the entire process very expensive. As such, several in silico approaches have been developed to optimize the genome assemblies and facilitate the finishing process. The present review aims to explore some free (open source, in many cases) tools that are available to facilitate genome finishing.
- Subjects :
- 0301 basic medicine
Genetics
microbial genetics
lcsh:QH426-470
In silico
microbiology
Genomics
Review Article
Computational biology
Biology
draft genomes
Genome
DNA sequencing
03 medical and health sciences
lcsh:Genetics
030104 developmental biology
Open source
molecular microbiology
genomics
Microbial genetics
Genomic information
Microbial genome
Molecular Biology
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Genetics and Molecular Biology, Volume: 40, Issue: 3, Pages: 553-576, Published: SEP 2017, Genetics and Molecular Biology, Vol 40, Iss 3, Pp 553-576, Genetics and Molecular Biology v.40 n.3 2017, Genetics and Molecular Biology, Sociedade Brasileira de Genética (SBG), instacron:SBG
- Accession number :
- edsair.doi.dedup.....546104c4b0313569a711fc4218094a24