a b c d e f g h i j k l m n o p q r s t u v w x y z
Description: Segment-based multiple sequence alignment
DIALIGN-TX is a command line tool to perform multiple alignment of protein or
DNA sequences. It is a complete reimplementation of the segment-base approach
including several new improvements and heuristics that significantly enhance
the quality of the output alignments compared to DIALIGN 2.2 and DIALIGN-T.
For pairwise alignment, DIALIGN-TX uses a fragment-chaining algorithm that
favours chains of low-scoring local alignments over isolated high-scoring
fragments. For multiple alignment, DIALIGN-TX uses an improved greedy
procedure that is less sensitive to spurious local sequence similarities.
.
DIALIGN-TX has been published in Amarendran R. Subramanian, Michael Kaufmann,
Burkhard Morgenstern: Improvement of the segment-based approach for multiple
sequence alignment by combining greedy and progressive alignment strategies.
Submission in Progress, 2008.
Description: Segment-based multiple sequence alignment
DIALIGN-TX is a command line tool to perform multiple alignment of protein or
DNA sequences. It is a complete reimplementation of the segment-base approach
including several new improvements and heuristics that significantly enhance
the quality of the output alignments compared to DIALIGN 2.2 and DIALIGN-T.
For pairwise alignment, DIALIGN-TX uses a fragment-chaining algorithm that
favours chains of low-scoring local alignments over isolated high-scoring
fragments. For multiple alignment, DIALIGN-TX uses an improved greedy
procedure that is less sensitive to spurious local sequence similarities.
--- 48847 Thu Jan 1 00:00:00 1970
+++ 77051 Thu Jan 1 00:00:00 1970
@@ -7,8 +7,3 @@
favours chains of low-scoring local alignments over isolated high-scoring
fragments. For multiple alignment, DIALIGN-TX uses an improved greedy
procedure that is less sensitive to spurious local sequence similarities.
- .
- DIALIGN-TX has been published in Amarendran R. Subramanian, Michael Kaufmann,
- Burkhard Morgenstern: Improvement of the segment-based approach for multiple
- sequence alignment by combining greedy and progressive alignment strategies.
- Submission in Progress, 2008.