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dc.contributor.authorRodríguez-Brazzarola, Pablo
dc.contributor.authorPerez-Wohlfeil, Esteban
dc.contributor.authorDíaz-del-Pino, Sergio
dc.contributor.authorHolthausen, Ricardo
dc.contributor.authorTrelles-Salazar, Oswaldo Rogelio 
dc.date.accessioned2018-05-16T09:02:22Z
dc.date.available2018-05-16T09:02:22Z
dc.date.issued2018-03
dc.identifier.citationRodríguez-Brazzarola P., Pérez-Wohlfeil E., Díaz-del-Pino S., Holthausen R., Trelles O. (2018) Analyzing the Differences Between Reads and Contigs When Performing a Taxonomic Assignment Comparison in Metagenomics. In: Rojas I., Ortuño F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2018. Lecture Notes in Computer Science, vol 10813. Springer, Chamen_US
dc.identifier.urihttps://hdl.handle.net/10630/15737
dc.description.abstractMetagenomics is an inherently complex field in which one of the primary goals is to determine the compositional organisms present in an environmental sample. Thereby, diverse tools have been developed that are based on the similarity search results obtained from comparing a set of sequences against a database. However, to achieve this goal there still are affairs to solve such as dealing with genomic variants and detecting repeated sequences that could belong to different species in a mixture of uneven and unknown representation of organisms in a sample. Hence, the question of whether analyzing a sample with reads provides further understanding of the metagenome than with contigs arises. The assembly yields larger genomic fragments but bears the risk of producing chimeric contigs. On the other hand, reads are shorter and therefore their statistical significance is harder to asses, but there is a larger number of them. Consequently, we have developed a workflow to assess and compare the quality of each of these alternatives. Synthetic read datasets beloging to previously identified organisms are generated in order to validate the results. Afterwards, we assemble these into a set of contigs and perform a taxonomic analysis on both datasets. The tools we have developed demonstrate that analyzing with reads provide a more trustworthy representation of the species in a sample than contigs especially in cases that present a high genomic variability.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.en_US
dc.language.isoengen_US
dc.publisherSpringer, Chamen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBioinformática - Congresosen_US
dc.subject.otherTaxonomic assignmenten_US
dc.subject.otherSequencing analysisen_US
dc.subject.otherMetagenomic comparisonen_US
dc.titleAnalyzing the differences between reads and contigs when performing a taxonomic assignment comparison in metagenomicsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.centroE.T.S.I. Informáticaen_US
dc.relation.eventtitle6th International Work-Conference on Bioinformatics and Biomedical Engineeringen_US
dc.relation.eventplaceGranada, Españaen_US
dc.relation.eventdate25/04/2018en_US


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