Lane Fellow DeBlasio Publishes Book
Lane Fellow Dan DeBlasio, along with his PhD advisor John Kececioglu,
recently published a book titled “Parameter Advising for Multiple Sequence
Alignment”, which details a method to select input-specific parameter
choices for the fundamental problem of multiple sequence alignment.
Using Parameter Advising can produce higher quality alignments, which leads
to improvements in downstream analyses like protein structure prediction,
phylogenetic inference, or homology search. The accuracy of multiple
sequence alignments can be greatly impacted by choosing non-ideal parameter
settings (and in turn the downstream analyses), and while the default
parameter settings work well on average, they may produce poor results on
some input. The book also describes Facet (short for Feature-based Accuracy
Estimator) which when used with Parameter Advising can automatically
select improved parameters for any input set of protein sequences.
“Parameter Advising for Multiple Sequence Alignment” is part of Springer
International’s Computational Biology Series.