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Several algorithms and tools such as UCHIME (Edgar et al., 2011) and DECIPHER (Wright et al., 2012) use sequence frequency information to detect chimeras and are efficient in identifying chimeric sequences in amplicon sequencing, which assume that chimeric sequences are less frequently represented in a given dataset than normally amplified genome regions.
Expressed Sequence Tag (EST) sequencing strategies are efficient in identifying a large number of genes expressed in a given tissue, which are particularly relevant when no genomic data are available [ 45].
Similarity searching-based programs are efficient in identifying copies closely related to those previously reported in the library, but they often appear inefficient in detecting very divergent copies or unknown elements [ 18].
Expressed Sequence Tag (EST) sequencing strategies are efficient in identifying a large number of genes expressed in a particular tissue, thus providing information on the physiological properties of this specific tissue.
On the other hand de novo methods are efficient in identifying any repetitive sequence that is either specific to a given species or has mutated beyond recognition that could render it unidentifiable using the mapping approach and therefore likely to be much more accurate for calculating copy numbers in species outside the reference species (see below).
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The proposed rheological trials were efficient in identifying the different rheological behaviors of the produced mortars.
All three localizers were efficient in identifying replicable, stable networks in individual subjects.
Results indicate that the proposed simulation optimization model is found to be efficient in identifying the optimal numbers, locations, and pumping rates of the pumping wells for satisfying the given constraints.
Thus our genetic approach was efficient in identifying genes related to Smn NMJ function.
The program was found to be efficient in identifying palindromes and IRs of longer lengths, allowing a certain level of mismatch.
Hence, analyzing differentiation among breeds with similar breeding objectives is expected to be efficient in identifying loci which were early selected while providing results easier to interpret in the light of their shared selective pressure.
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