@article { Birzele2005,
	title = {{QUASAR{\textendash}scoring and ranking of sequence-structure alignments}},
	journal = {Bioinformatics},
	volume = {21},
	number = {24},
	year = {2005},
	month = {Dec},
	pages = {4425{\textendash}4426},
	abstract = {SUMMARY: Sequence-structure alignments are a common means for protein
structure prediction in the fields of fold recognition and homology modeling, and
there is a broad variety of programs that provide such alignments based on
sequence similarity, secondary structure or contact potentials. Nevertheless,
finding the best sequence-structure alignment in a pool of alignments remains a
difficult problem. QUASAR provides a unifying framework for scoring
sequence-structure alignments that aids finding well-performing combinations of
well-known and custom-made scoring schemes. Those scoring functions can be
benchmarked against widely accepted quality scores like MaxSub, TMScore, Touch
and APDB, thus enabling users to test their own alignment scores against
"standard-of-truth" structure-based scores. Furthermore, individual score
combinations can be optimized with respect to benchmark sets based on known
structural relationships using QUASAR{\textquoteright}s in-built optimization routines.
AVAILABILITY: The software, examples, the Java documentation and a tutorial are
available at http://www.bio.ifi.lmu.de/QUASAR.},
	keywords = {quasar-05},
	doi = {10.1093/bioinformatics/bti712},
	author = {Fabian Birzele and Jan Erik Gewehr and Ralf Zimmer}
}