Sentence examples for dropping alignment from inspiring English sources

Exact(1)

We first aligned the ATV clade genomes using mugsy (Angiuoli and Salzberg 2011), and then stitched the aligned blocks together using ATV as a reference, dropping alignment blocks that did not contain ATV (these regions were small, contained few strains, and tended to be poorly aligned).

Similar(59)

We reduce the parallax errors using an intuitive calibration procedure (a simple drag-and-drop alignment of nine LED positions with calibration dots on the screen).

These seeds are extended in both directions allowing for matches, mismatches, insertions, and deletions using the X-Drop alignment strategy as described previously.

Additionally we dropped all alignments with an SCI below 0.6 to assure the structural quality of the alignments and to make sure that the SCI can be applied later to score the test alignments.

Adding non-primate sequences to the alignment did not change average information content immediately around the PRE, but average information content for the alignment dropped off significantly (p <0.05, Bonferroni adjusted for 4 comparisons) when on either side of the PRE.

Moreover, the soil temperature at the centre of the system for the horizontal alignment drops to lower values than for the other cases.

The success rate for alignment dropped from 93.8% in adjacent sections to 22% for sections furthest away.

In contrast, the quality of RAF alignment drops dramatically when sequence similarity decreases; we conjecture that this is a consequence of the strong sequence-based heuristics in RAF.

It was also found that surfactants cause the drops to align more in the flow direction and that, for both clean and surfactant-covered drops, this alignment increases with viscosity ratio.

> -wrap-foot> In this experiment, SOAPv2 would be twice as fast with both percent confident mapping (Conf) and percent paired (Paired) dropping by 1% if gapped alignment was disabled.

Requiring sequence alignment to both D. simulans and D. yakuba limits the data set to 11148 total gene alignments (2839 gene alignments are dropped) and it is likely that very rapidly evolving genes may not appear in the final data set.

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