Sentence examples for gap weight from inspiring English sources

We therefore changed the conditions to Gap weight: 1, length weight: 1, max.

A.m.Mβ': own prediction A.m.Mβ': database prediction Penalties: bestfit: Gap weight: 1, length weight: 1, max.

Comparison of proteins from the three Drosophila species was done under the pre-configured standard conditions of the program (Gap weight: 8, length weight: 2).

Typical initializations require (i) a gap weight to be added successively to every cell (global alignment from the beginning of a sequence), and (ii) a zero in every cell (semi-global alignment where an initial gap has no penalty).

Alignment of intron sequences, even within the apomict group, was not straightforward, with small changes in gap weight penalties or manual alignment choices influencing the location of indels and diversity statistics recovered.

Sequence alignments were done with MultAlin [ 133, 134] using the following parameters: symbol comparison table: identity, gap weight: 5, gap length weight: 0, consensus levels: high = 100% low = 60%.

Shift values between the means of each distribution and small gap weights were tested systematically over combinations of both parameters.

We assigned shift values of −0.15 and 6.6 for the two scoring functions, respectively, and gap weights of 0.1 and 0.5, respectively.

As simple as it may seem, the progressive alignment strategy affords many possible adjustments, the most notable ones being the tree computing algorithm, the sequence weighting method and the gap weighting scheme.

To decrease the chance of generating false positives, GAP weights the available data according to their "information content" and their frequencies in the scientific corpora, and then, integrates different information to prioritize stronger associations.

For the last nucleosome positioning method, we aligned the consensus LINE sequence with the palindromic NCP-601L Widom sequence using a disable gap weighting (speed oriented) method implemented by ClustalWS in the Jalview 2.7 Java-based multiple sequence alignment editor implementing the Java Bioinformatics Analysis Web Services system (JABAWS).