Please use this identifier to cite or link to this item: https://doi.org/10.1186/1471-2164-12-S3-S17
Title: Analysis of 16S rRNA environmental sequences using MEGAN
Authors: Mitra, S
Stärk, M
Huson, D.H 
Keywords: 16S rRNA
16S rRNA sequences
Amplicons
Analysis tools
Environmental sample
Metagenomes
Metagenomics
Biology
Polymerase chain reaction
RNA
Bioinformatics
RNA 16S
algorithm
article
genetic database
genetics
Internet
metagenomics
microbiology
search engine
sequence analysis
Algorithms
Databases, Genetic
Environmental Microbiology
Internet
Metagenomics
RNA, Ribosomal, 16S
Search Engine
Sequence Analysis, RNA
Issue Date: 2011
Citation: Mitra, S, Stärk, M, Huson, D.H (2011). Analysis of 16S rRNA environmental sequences using MEGAN. 10th Int. Conference on Bioinformatics - 1st ISCB Asia Joint Conference 2011, InCoB 2011/ISCB-Asia 2011: Computational Biology - Proceedings from Asia Pacific Bioinformatics Network (APBioNet) 12 (SUPPL. 3) : S17. ScholarBank@NUS Repository. https://doi.org/10.1186/1471-2164-12-S3-S17
Rights: Attribution 4.0 International
Abstract: Background: Metagenomics is a rapidly growing field of research aimed at studying assemblages of uncultured organisms using various sequencing technologies, with the hope of understanding the true diversity of microbes, their functions, cooperation and evolution. There are two main approaches to metagenomics: amplicon sequencing, which involves PCR-targeted sequencing of a specific locus, often 16S rRNA, and random shotgun sequencing. Several tools or packages have been developed for analyzing communities using 16S rRNA sequences. Similarly, a number of tools exist for analyzing randomly sequenced DNA reads. Results: We describe an extension of the metagenome analysis tool MEGAN, which allows one to analyze 16S sequences. For the analysis all 16S sequences are blasted against the SILVA database. The result output is imported into MEGAN, using a synonym file that maps the SILVA accession numbers onto the NCBI taxonomy. Conclusions: Environmental samples are often studied using both targeted 16S rRNA sequencing and random shotgun sequencing. Hence tools are needed that allow one to analyze both types of data together, and one such tool is MEGAN. The ideas presented in this paper are implemented in MEGAN 4, which is available from: http:// www-ab.informatik.uni-tuebingen.de/software/megan. © 2011 licensee BioMed Central Ltd.
Source Title: 10th Int. Conference on Bioinformatics - 1st ISCB Asia Joint Conference 2011, InCoB 2011/ISCB-Asia 2011: Computational Biology - Proceedings from Asia Pacific Bioinformatics Network (APBioNet)
URI: https://scholarbank.nus.edu.sg/handle/10635/181618
DOI: 10.1186/1471-2164-12-S3-S17
Rights: Attribution 4.0 International
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