Sentence examples for multiple mappings were from inspiring English sources

Solutions to deal with multiple mappings were described previously [ 35- 38], but most are designed for genome reference sequences and presumably would introduce additional bias into our transcriptome data and thus were not applied.

In many instances multiple mappings are possible, especially if extinct and unsampled lineages are taken into consideration.

Although discarding reads with multiple mappings is a common practice (1, 5, 10, 11), their exclusion can lead to additional biases in downstream estimation (4).

Furthermore, reads with multiple mappings are discarded by the single-reference pipeline, which is a common strategy described by many researchers (1, 5, 10, 11).

Generally, results from multiple trait mappings were very similar to those from the single trait analysis except that fewer false positives were detected (results not shown).

The option best ensures that only the best mapping for each read is reported; when multiple best mappings are found they are all reported.

When a tRNA overlapped more than one mapping in another species, due to either low-resolution mappings or multiple mappings, orthology was preferentially assigned to a tRNA with the same identity and anticodon.

The mappings were designed to make the Palestinians feel that we are there all the time.

Single-best mappings were derived from IndexDP alignments by choosing alignments with the highest NScore, or an alignment randomly picked from the set of highest scores when multiple alignments are present with the same NScore value.

About 85% of the multiple/ambiguous mappings were resolved by manual curation and assigned a unique probeset representing 3′-end of the TF gene loci.

Spurious mappings were manually resolved.