Jordi Lladós

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Multiple sequence alignment (MSA) is one of the most useful tools in bioinformatics. However, the growth of sequencing data imposes further difficulties for aligning it with traditional tools. For large-scale alignments with thousands of sequences it will be necessary to use and take profit of the high performance computing (HPC). This paper, focused on the(More)
Multiple Sequence Alignment (MSA) is essential for a wide range of applications in Bioinformatics. Traditionally, the alignment accuracy was the main metric used to evaluate the goodness of MSA tools. However, with the growth of sequencing data, other features, such as performance and the capacity to align larger datasets, are gaining strength. To achieve(More)
Multiple sequence alignment (MSA) is crucial for high-throughput next generation sequencing applications. Large-scale alignments with thousands of sequences are necessary for these applications. However, the quality of the alignment of current MSA tools decreases sharply when the number of sequences grows to several thousand. This accuracy degradation can(More)
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