Add to ORKGFind runs of identities, and identify regions with the highest density of identities. Re-score using PAM matrix, and keep top scoring segments. Eliminate segments that are unlikely to be part of the alignment. Optimize the alignment in a ban
We present a new machine learning approach to the inverse parametric sequence alignment problem: giv...
BLAST is a family of rapid approximate local alignment algorithms[2]. BLAST is usually used to match...
Depicted is the pseudocode of algorithm 2, looping through all the possible combinations of pairs of...
Local Sequence Algignment. The local sequence alignment problem is de-fined as follows: Given two st...
<p>An example SW score matrix is shown (penalties for match, mismatch, gap open and extension are 2,...
An efficient algorithm is described to locate locally optimal alignments between two sequences allow...
Assume that two sequences from a finite alphabet are optimally aligned according to a scoring system...
The statistical significance of gapped local align-ments is characterized by analyzing the extremal ...
Having found the maximal matches between x and y, we can put some of them together to form a chain. ...
The Smith–Waterman algorithm yields a single alignment, which, albeit optimal, can be strongly affec...
The statistical properties of local alignment algorithms with gaps are analyzed theoretically for uu...
Motivation: The local alignment problem for two sequences requires determining similar regions one f...
Schulz T, Wittler R, Rahmann S, Hach F, Stoye J. Detecting High Scoring Local Alignments in Pangenom...
Accurate alignments of sequences are needed for many types of analyses. Aligned sequences might be t...
MOTIVATION: Sequence alignments obtained using affine gap penalties are not always biologically corr...
We present a new machine learning approach to the inverse parametric sequence alignment problem: giv...
BLAST is a family of rapid approximate local alignment algorithms[2]. BLAST is usually used to match...
Depicted is the pseudocode of algorithm 2, looping through all the possible combinations of pairs of...
Local Sequence Algignment. The local sequence alignment problem is de-fined as follows: Given two st...
<p>An example SW score matrix is shown (penalties for match, mismatch, gap open and extension are 2,...
An efficient algorithm is described to locate locally optimal alignments between two sequences allow...
Assume that two sequences from a finite alphabet are optimally aligned according to a scoring system...
The statistical significance of gapped local align-ments is characterized by analyzing the extremal ...
Having found the maximal matches between x and y, we can put some of them together to form a chain. ...
The Smith–Waterman algorithm yields a single alignment, which, albeit optimal, can be strongly affec...
The statistical properties of local alignment algorithms with gaps are analyzed theoretically for uu...
Motivation: The local alignment problem for two sequences requires determining similar regions one f...
Schulz T, Wittler R, Rahmann S, Hach F, Stoye J. Detecting High Scoring Local Alignments in Pangenom...
Accurate alignments of sequences are needed for many types of analyses. Aligned sequences might be t...
MOTIVATION: Sequence alignments obtained using affine gap penalties are not always biologically corr...
We present a new machine learning approach to the inverse parametric sequence alignment problem: giv...
BLAST is a family of rapid approximate local alignment algorithms[2]. BLAST is usually used to match...
Depicted is the pseudocode of algorithm 2, looping through all the possible combinations of pairs of...