Identification of sequence motifs that favor cis peptide bonds in proteins is important for understanding and designing proteins containing turns mediated by cis peptide conformations.
Identification of sequence determinants regulating fibrillation of amyloidogenic proteins may provide valuable information for designing peptide analog drugs to prevent protein amyloidosis.
Identification of sequence boundaries (sb), transgressive surface (ts) and maximum flooding surface (mfs) are based on analysis of 3D seismic reflection including onlap, downlap, toplap and truncation reflections, and complemented by well lithology and logging curve combination style variations.
As will be illustrated, the stringent alignment parameters and high redundancy are essential for identification of sequence deviations and sequence reconstruction.
The human microbiome, and in particular the oral microbiome, includes many taxa, and accurate identification of sequence data is essential for studies of these communities.
We have used this strategy successfully for the identification of sequence fragments of the putative PNO of A. caja, A. villica, D. sannio, and E. acrea.
Therefore, identification of sequence variation sites in distinct locations within VAR2CSA, affecting antigenicity and/or binding properties, is critical to the effort of developing an efficient VAR2CSA-based vaccine.
The algorithm described in the Methods Section enables analysis of the aligned reads and the identification of sequence incongruities between the predicted gene models and the observed transcriptomic data.
Next Generation Sequencing of female tissues has uncovered novel small RNAs missed by prior analyses and allows the identification of sequence differences reflective of potential post-transcriptional modification relevant to target regulation [20].
The algorithm described in the Methods Section enables analysis of the aligned reads and the identification of sequence incongruities between the predicted gene models and the observed transcriptomic data (Figure 1, B).
DiProGB also offers a fast Fourier transformation for the identification of sequence periodicities.
