Sentence examples for mapping positions for from inspiring English sources

This database contains the genemap table providing mapping positions for genes probed in microarrays.

Regarding the second model: the multiplicity of equally valid mapping positions for sequences repeated in a genome obfuscates their correct assignment to a genomic region, making reads from such regions less "mappable," both intrinsically and due to the processes by which software searches for significant alignments.

Indeed, when one read of a read pair maps to a unique location and the other read maps to a repetitive sequence, it is a mistake to consider that all copies of the repetition are equiprobable mapping positions for the second read.

In combination, the two consensus sequences provide consistent mapping position for piRNAs for each group.

To ensure reliable short read alignments base quality scores were taken into account to conduct an interative alignment approach aiming to identify the best mapping position for each read.

Although the leading short read mapping algorithms all try to identify the best mapping position for each read, a read may still map equally well or nearly equally well to multiple positions because of paralogous sequences in the reference genome [ 11].

The leading short read mapping algorithms, including BWA (Li and Durbin, 2009), Bowtie (Langmead et al., 2009), and SOAP (Li et al., 2009b), all try to identify the best mapping position for each read that minimizes the number of differences between the read and the genome, i.e. the edit distance of the nucleotide strings, possibly weighted by base quality value.

However, we validated map positions for 25 mapped features chosen at random using the oat × maize chromosome addition lines [ 18] and radiation hybrid oat × maize lines [ 21] and found that 24 of the 25 features were correctly mapped to the proper chromosome region using our computational approach.

Map positions for arrayed cDNA clones were assigned using the NCBI genome assembly, accessed through the UCSC genome browser database (NCBI Build 36.1).

We have been able to obtain map positions for each mutant using F2 mapping populations.

The final two SNPs provided map positions for gmw1-57d24 and gmw1-27d20 (Table 1).