2016
DOI: 10.4490/algae.2016.31.6.5
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A novice’s guide to analyzing NGS-derived organelle and metagenome data

Abstract: Next generation sequencing (NGS) technologies have revolutionized many areas of biological research due to the sharp reduction in costs that has led to the generation of massive amounts of sequence information. Analysis of large genome data sets is however still a challenging task because it often requires significant computer resources and knowledge of bioinformatics. Here, we provide a guide for an uninitiated who wish to analyze high-throughput NGS data. We focus specifically on the analysis of organelle ge… Show more

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Cited by 18 publications
(14 citation statements)
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“…Finalized genome maps were created with OGdraw v1.2 49 . The methods used to construct organellar genomes using NGS-derived data generally followed those used by Song et al 50 .…”
Section: Methodsmentioning
confidence: 99%
“…Finalized genome maps were created with OGdraw v1.2 49 . The methods used to construct organellar genomes using NGS-derived data generally followed those used by Song et al 50 .…”
Section: Methodsmentioning
confidence: 99%
“…For a comprehensive list of freely available assembly and read mapping programs please refer to Table 2 in Song et al (2016).…”
Section: Box 3: Bioinformatics For Species Delimitationmentioning
confidence: 99%
“…In recent years, high-throughput sequencing (HTS) has become more accessible and this technology has the ability to generate very large data sets at a reasonable cost (e.g., Song et al, 2016). New HTS techniques along with improvements in algorithms for handling/analysing HTS data and falling costs have allowed the development of a wide range of applications and led to a huge increase in molecular sequence data (Reuter et al, 2015;Mardis, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…, Song et al. ). The chloroplast, a cyanobacteria‐derived cellular organelle found in diverse photosynthetic eukaryotes, generally contains a circular genome with two inverted repeats (IRs; Turmel et al.…”
mentioning
confidence: 99%