University of Cambridge > Talks.cam > Computational and Systems Biology > Better multiple sequence alignment by being phylogeny-aware, and better base calling from next-generation sequencers

Better multiple sequence alignment by being phylogeny-aware, and better base calling from next-generation sequencers

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If you have a question about this talk, please contact Danielle Stretch.

I will describe two distinct research projects from my group at EBI . In the first, I will show how a simple flaw in progressive multiple alignment algorithms has led to alignment errors for many years. The error is easily corrected; scientists’ expectations of what a good alignment should look like may take longer to change. In the second, I will describe how the Solexa/Illumina Genome Analyzer sequencing platform works, some of the processes that lead to errors in its short-read sequences and how inference based on mathematical modelling of these errors has led to improved results.

This talk is part of the Computational and Systems Biology series.

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