Exact(8)
A common problem in applying biosensors for the detection of genomic DNA is detecting short sequences in large amounts of long double stranded DNA.
In particular, the comparison of gene sequences in large numbers of patients and controls will be a key step in strategies for disease gene identification.
Identifying regulatory sequences in large and small genomes represent two fundamentally different challenges.
The screening approach proved powerful in identifying PKS I sequences in large sequence data sets and is applicable to many other protein families.
Results: Here we present TagDust, a program identifying artifactual sequences in large sequencing runs.
Thus, the application of evolutionary analyses to the annotation of new sequences in large gene families can hold considerable value.
The phylogenetic footprinting program TRACKER [ 41] was designed specifically to search for conserved non-coding sequences in large gene clusters.
GREMLIN (v2.01) was used to learn a global statistical model of the sequences in large families using pseudolikelihood optimization (Balakrishnan et al., 2011).
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