Kavak, P.Ergüner, B.Üstek, D.Yüksel, B.Saǧıroǧlu, M. Ş.Güngör, T.Alkan, Can2018-04-122018-04-122015-090302-9743http://hdl.handle.net/11693/37501Date of Conference: 10-12 September, 2015Conference name: CIBB: International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics - 12th International Meeting, CIBB 2015Accurate de novo assembly using short reads generated by next generation sequencing technologies is still an open problem. Although there are several assembly algorithms developed for data generated with different sequencing technologies, and some that can make use of hybrid data, the assemblies are still far from being perfect. There is still a need for computational approaches to improve draft assemblies. Here we propose a new method to correct assembly mistakes when there are multiple types of data generated using different sequencing technologies that have different strengths and biases. We exploit the assembly of highly accurate short reads to correct the contigs obtained from less accurate long reads. We apply our method to Illumina, 454, and Ion Torrent data, and also compare our results with existing hybrid assemblers, Celera and Masurca. © Springer International Publishing Switzerland 2016.EnglishAssembly improvementDe novo assemblyNext generation multi-platform sequencingArtificial intelligenceAssembly algorithmComputational approachGenome assemblyHighly accurateMulti-platformNext-generation sequencingSequence dataBioinformaticsConference Paper10.1007/978-3-319-44332-4_17