Two accurate sequence, structure, and phylogenetic template-based RNA alignment systems
| Autor: | Daniel P. Miranker, Lei Shang, Stuart Ozer, Robin R. Gutell, Jamie J. Cannone, Weijia Xu, David P. Gardner |
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| Rok vydání: | 2013 |
| Předmět: |
Sequence analysis
Sequence alignment Computational biology Biology 03 medical and health sciences Structural Biology Phylogenetics Modelling and Simulation RNA Ribosomal 16S 28S ribosomal RNA Databases Genetic Molecular Biology Phylogeny 030304 developmental biology Sequence (medicine) 0303 health sciences Base Sequence Phylogenetic tree Research Applied Mathematics 030302 biochemistry & molecular biology Computational Biology RNA Templates Genetic Ribosomal RNA Molecular biology Computer Science Applications RNA Bacterial Modeling and Simulation Sequence Alignment |
| Zdroj: | BMC Systems Biology |
| ISSN: | 1752-0509 |
| Popis: | Background The analysis of RNA sequences, once a small niche field for a small collection of scientists whose primary emphasis was the structure and function of a few RNA molecules, has grown most significantly with the realizations that 1) RNA is implicated in many more functions within the cell, and 2) the analysis of ribosomal RNA sequences is revealing more about the microbial ecology within all biological and environmental systems. The accurate and rapid alignment of these RNA sequences is essential to decipher the maximum amount of information from this data. Methods Two computer systems that utilize the Gutell lab's RNA Comparative Analysis Database (rCAD) were developed to align sequences to an existing template alignment available at the Gutell lab's Comparative RNA Web (CRW) Site. Multiple dimensions of cross-indexed information are contained within the relational database - rCAD, including sequence alignments, the NCBI phylogenetic tree, and comparative secondary structure information for each aligned sequence. The first program, CRWAlign-1 creates a phylogenetic-based sequence profile for each column in the alignment. The second program, CRWAlign-2 creates a profile based on phylogenetic, secondary structure, and sequence information. Both programs utilize their profiles to align new sequences into the template alignment. Results The accuracies of the two CRWAlign programs were compared with the best template-based rRNA alignment programs and the best de-novo alignment programs. We have compared our programs with a total of eight alternative alignment methods on different sets of 16S rRNA alignments with sequence percent identities ranging from 50% to 100%. Both CRWAlign programs were superior to these other programs in accuracy and speed. Conclusions Both CRWAlign programs can be used to align the very extensive amount of RNA sequencing that is generated due to the rapid next-generation sequencing technology. This latter technology is augmenting the new paradigm that RNA is intimately implicated in a significant number of functions within the cell. In addition, the use of bacterial 16S rRNA sequencing in the identification of the microbiome in many different environmental systems creates a need for rapid and highly accurate alignment of bacterial 16S rRNA sequences. |
| Databáze: | OpenAIRE |
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