Sentence examples for large sequence data from inspiring English sources

Finding maximal exact matches in large sequence data sets using sparse suffix arrays.

Here we describe an approach for mining large sequence data sets for the presence of microbial sequences.

The screening approach proved powerful in identifying PKS I sequences in large sequence data sets and is applicable to many other protein families.

Yet there is still a critical need for improved techniques enabling fast and comprehensive analysis of large sequence data sets, especially to access the biologically useful context that can be extracted from this information.

Then we discuss visual analytics, hypothesis generation by visually exploring these very large sequence data sets.

The pipeline is built from existing public software packages and implemented on a computer cluster, which enables efficient mining of large sequence data sets in parallel.

Moon, S. & Akey, J. M. A flexible method for estimating the fraction of fitness influencing mutations from large sequencing data sets.

To test for previously unknown motifs and to validate the reliability of our data with respect to the known canonical poly(A) signals, we used DREME, a tool for motif discovery in large sequencing data sets (32).

The directionality of this gene flow event was as expected, however, the inferred gene flow from Karitiana to Mal'ta MA1 (Supplementary Results S2; Supplementary Figures S16b-j and S17c-j), was in the reverse direction to what was reported by Raghavan et al.23 who used a much larger sequence data.

Also, larger sequence data sets would allow the exploration of a larger sample of functions.

Further improvements in annotation likely require greater coverage through increased sequencing depth and a larger sequence data set.