Sentence examples for methods use sequence from inspiring English sources

Established methods use sequence or structure similarity to infer functions but those types of data do not suffice to determine the biological context in which proteins act.

Other methods use sequence quality information derived from the raw trace data.

These methods use sequence similarity to associate reads with taxonomic ranks.

These methods use sequence templates [ 7] and profiles of the sequences [ 8] as features.

Some methods use sequence data from a control dataset and then use the control tag densities to assess the significance of peaks in the ChIP sample set.

Tree methods use sequence alignments and phylogenetic trees for predicting evolutionary relationships, while graph based methods use pairwise sequence similarity search methods (such as BLAST) to predict orthologs.

Current KIR genotyping methods use sequence-based typing or sequence-specific primer or oligonucleotide probe (SSP/SSO) based PCR followed by agarose gel electrophoresis.

Therefore, our regression methods use sequence-based features.

It is therefore superior to methods using sequence trees, which gave conflicting and debatable results because of tree reconstruction problems [ 1, 13, 116].

In addition to these comparisons with methods using sequence information only, we compared INTREPID to the machine learning algorithms reported by Petrova and Wu (2006) and by Youn et al. (2007) which make use of structural information.

Furthermore, methods using sequence coverage to identify repeats (e.g. Malde et al., 2006; Phillippy et al., 2008) should not be applied to pyrosequencing data without first filtering duplicates.