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» Overestimation for Multiple Sequence Alignment
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BMCBI
2004
158views more  BMCBI 2004»
13 years 7 months ago
Improvement of alignment accuracy utilizing sequentially conserved motifs
Background: Multiple sequence alignment algorithms are very important tools in molecular biology today. Accurate alignment of proteins is central to several areas such as homology...
Saikat Chakrabarti, Nitin Bhardwaj, Prem A. Anand,...
APBC
2004
13 years 9 months ago
EMAGEN: An Efficient Approach to Multiple Whole Genome Alignment
Following advances in biotechnology, many new whole genome sequences are becoming available every year. A lot of useful information can be derived from the alignment and compariso...
Jitender S. Deogun, Jingyi Yang, Fangrui Ma
BMCBI
2006
122views more  BMCBI 2006»
13 years 7 months ago
CoSMoS: Conserved Sequence Motif Search in the proteome
Background: With the ever-increasing number of gene sequences in the public databases, generating and analyzing multiple sequence alignments becomes increasingly time consuming. N...
Xiao I. Liu, Neeraj Korde, Ursula Jakob, Lars I. L...
BIBM
2007
IEEE
132views Bioinformatics» more  BIBM 2007»
14 years 2 months ago
A Divide-and-Conquer Implementation of Three Sequence Alignment and Ancestor Inference
In this paper, we present an algorithm to simultaneously align three biological sequences with affine gap model and infer their common ancestral sequence. Our algorithm can be fu...
Feng Yue, Jijun Tang
BMCBI
2007
147views more  BMCBI 2007»
13 years 7 months ago
MaxAlign: maximizing usable data in an alignment
Background: The presence of gaps in an alignment of nucleotide or protein sequences is often an inconvenience for bioinformatical studies. In phylogenetic and other analyses, for ...
Rodrigo Gouveia-Oliveira, Peter Wad Sackett, Ander...