Sentence examples for read cluster from inspiring English sources

To further investigate the relation of minimum size of short read cluster and the proportion of known splicing events identified, we have set the smallest size of short read cluster to 10 (instead of the default 5).

A consensus sequence was then generated for each short read cluster, which was then aligned to the genome sequences.

In such a setting, the proportions of known splicing events identified by SAW were 10% less than those based on short read cluster of size ≥5 (Figure 4).

In this perspective, SAW could be further improved by a more sophisticated consensus sequence generation method, or by generating more than one consensus sequence per short read cluster.

Assembled transcripts were filtered to include only the longest isoform from each read cluster.

Next, each read cluster was assembled separately using MIRA implemented on a compute cloud, as described in Methods.

She says: "It's about learning to read clusters of clues".

Additionally, short read clusters could be merged if significant proportions of their consensus sequences are overlapping.

However, base on short read clusters with at least 5 short reads, only 38 decoy splicing events would be identified.

In such cases, the consensus of the read clusters across the sequence tagged sites becomes the reference.

Here we have shown that based on short read clusters, SAW was able to filter out a large proportion of short reads while still retain high sensitivity.