Improving pairwise sequence alignment accuracy using near-optimal protein sequence alignments
نویسندگان
چکیده
منابع مشابه
Optimal Alignment of Multiple Sequence Alignments
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 CHAPTER 1: INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . 14 1.1 Perspective . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 1.2 Contributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 1.3 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
متن کاملVisualization of near-optimal sequence alignments
MOTIVATION Mathematically optimal alignments do not always properly align active site residues or well-recognized structural elements. Most near-optimal sequence alignment algorithms display alternative alignment paths, rather than the conventional residue-by-residue pairwise alignment. Typically, these methods do not provide mechanisms for finding effectively the most biologically meaningful a...
متن کاملScoring Pairwise Genomic Sequence Alignments
The parameters by which alignments are scored can strongly affect sensitivity and specificity of alignment procedures. While appropriate parameter choices are well understood for protein alignments, much less is known for genomic DNA sequences. We describe a straightforward approach to scoring nucleotide substitutions in genomic sequence alignments, especially human-mouse comparisons. Scores ar...
متن کاملPairwise Sequence Alignment
Instructions for obtaining the Solution Sheet are available by sending email to [email protected], with no subject line, and the following message body: subscribe vsns-bcd-solutions VSNS{BCD Copyright. The text may be redistributed verbatim, in whole or in part, for research and educational purposes only. If distributed in part, it must include this copyright notice, and a pointer ...
متن کاملProbabalistic pairwise sequence alignment
We describe an new algorithm for visualizing an alignment of biological sequences according to a probabilistic model of evolution. The resulting data array is readily interpreted by the human eye and amenable to digital image techniques. We present examples using mRNA sequences from mouse and rat: three cytochromes and two zinc finger proteins. The underlying evolutionary model is derived from ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2010
ISSN: 1471-2105
DOI: 10.1186/1471-2105-11-146