Evaluating characteristics of de novo assembly software on 454 transcriptome data: a simulation approach.

<h4>Background</h4>The quantity of transcriptome data is rapidly increasing for non-model organisms. As sequencing technology advances, focus shifts towards solving bioinformatic challenges, of which sequence read assembly is the first task. Recent studies have compared the performance o...

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Autores principales:	Marvin Mundry, Erich Bornberg-Bauer, Michael Sammeth, Philine G D Feulner
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c413be02574b4a71961982f054b944cd
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spelling	oai:doaj.org-article:c413be02574b4a71961982f054b944cd2021-11-18T07:26:44ZEvaluating characteristics of de novo assembly software on 454 transcriptome data: a simulation approach.1932-620310.1371/journal.pone.0031410https://doaj.org/article/c413be02574b4a71961982f054b944cd2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22384018/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>The quantity of transcriptome data is rapidly increasing for non-model organisms. As sequencing technology advances, focus shifts towards solving bioinformatic challenges, of which sequence read assembly is the first task. Recent studies have compared the performance of different software to establish a best practice for transcriptome assembly. Here, we adapted a simulation approach to evaluate specific features of assembly programs on 454 data. The novelty of our study is that the simulation allows us to calculate a model assembly as reference point for comparison.<h4>Findings</h4>The simulation approach allows us to compare basic metrics of assemblies computed by different software applications (CAP3, MIRA, Newbler, and Oases) to a known optimal solution. We found MIRA and CAP3 are conservative in merging reads. This resulted in comparably high number of short contigs. In contrast, Newbler more readily merged reads into longer contigs, while Oases produced the overall shortest assembly. Due to the simulation approach, reads could be traced back to their correct placement within the transcriptome. Together with mapping reads onto the assembled contigs, we were able to evaluate ambiguity in the assemblies. This analysis further supported the conservative nature of MIRA and CAP3, which resulted in low proportions of chimeric contigs, but high redundancy. Newbler produced less redundancy, but the proportion of chimeric contigs was higher.<h4>Conclusion</h4>Our evaluation of four assemblers suggested that MIRA and Newbler slightly outperformed the other programs, while showing contrasting characteristics. Oases did not perform very well on the 454 reads. Our evaluation indicated that the software was either conservative (MIRA) or liberal (Newbler) about merging reads into contigs. This suggested that in choosing an assembly program researchers should carefully consider their follow up analysis and consequences of the chosen approach to gain an assembly.Marvin MundryErich Bornberg-BauerMichael SammethPhiline G D FeulnerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 2, p e31410 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Marvin Mundry Erich Bornberg-Bauer Michael Sammeth Philine G D Feulner Evaluating characteristics of de novo assembly software on 454 transcriptome data: a simulation approach.
description	<h4>Background</h4>The quantity of transcriptome data is rapidly increasing for non-model organisms. As sequencing technology advances, focus shifts towards solving bioinformatic challenges, of which sequence read assembly is the first task. Recent studies have compared the performance of different software to establish a best practice for transcriptome assembly. Here, we adapted a simulation approach to evaluate specific features of assembly programs on 454 data. The novelty of our study is that the simulation allows us to calculate a model assembly as reference point for comparison.<h4>Findings</h4>The simulation approach allows us to compare basic metrics of assemblies computed by different software applications (CAP3, MIRA, Newbler, and Oases) to a known optimal solution. We found MIRA and CAP3 are conservative in merging reads. This resulted in comparably high number of short contigs. In contrast, Newbler more readily merged reads into longer contigs, while Oases produced the overall shortest assembly. Due to the simulation approach, reads could be traced back to their correct placement within the transcriptome. Together with mapping reads onto the assembled contigs, we were able to evaluate ambiguity in the assemblies. This analysis further supported the conservative nature of MIRA and CAP3, which resulted in low proportions of chimeric contigs, but high redundancy. Newbler produced less redundancy, but the proportion of chimeric contigs was higher.<h4>Conclusion</h4>Our evaluation of four assemblers suggested that MIRA and Newbler slightly outperformed the other programs, while showing contrasting characteristics. Oases did not perform very well on the 454 reads. Our evaluation indicated that the software was either conservative (MIRA) or liberal (Newbler) about merging reads into contigs. This suggested that in choosing an assembly program researchers should carefully consider their follow up analysis and consequences of the chosen approach to gain an assembly.
format	article
author	Marvin Mundry Erich Bornberg-Bauer Michael Sammeth Philine G D Feulner
author_facet	Marvin Mundry Erich Bornberg-Bauer Michael Sammeth Philine G D Feulner
author_sort	Marvin Mundry
title	Evaluating characteristics of de novo assembly software on 454 transcriptome data: a simulation approach.
title_short	Evaluating characteristics of de novo assembly software on 454 transcriptome data: a simulation approach.
title_full	Evaluating characteristics of de novo assembly software on 454 transcriptome data: a simulation approach.
title_fullStr	Evaluating characteristics of de novo assembly software on 454 transcriptome data: a simulation approach.
title_full_unstemmed	Evaluating characteristics of de novo assembly software on 454 transcriptome data: a simulation approach.
title_sort	evaluating characteristics of de novo assembly software on 454 transcriptome data: a simulation approach.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/c413be02574b4a71961982f054b944cd
work_keys_str_mv	AT marvinmundry evaluatingcharacteristicsofdenovoassemblysoftwareon454transcriptomedataasimulationapproach AT erichbornbergbauer evaluatingcharacteristicsofdenovoassemblysoftwareon454transcriptomedataasimulationapproach AT michaelsammeth evaluatingcharacteristicsofdenovoassemblysoftwareon454transcriptomedataasimulationapproach AT philinegdfeulner evaluatingcharacteristicsofdenovoassemblysoftwareon454transcriptomedataasimulationapproach
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Evaluating characteristics of de novo assembly software on 454 transcriptome data: a simulation approach.

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