Sentence examples for more challenging sequences from inspiring English sources

However, that method is based on extracting motion templates (motion images and motion context) using very simple processing, which would fail for more challenging sequences, like those in Section 6.4: the standard deviation of the illumination over successive video frames is estimated to find active pixels, a measure which can easily lead to false alarms in the presence of noise.

One major problem for large matrices using broadly sampled sequences or smaller matrices with quickly evolving sequences is that multiple sequence alignments become more challenging as sequences become more divergent [ 28, 29].

This may be particularly true in the case of poor quality or very low DNA quantity forensic specimens, as well as in regions of the mtGenome that are more challenging to sequence (for instance, due to secondary structure or the local sequence environment) and thus exhibit strand bias and/or reduced coverage compared to the rest of the molecule [50 55].

In contrast, platypus BAC sequence assemblies had an average of over eight gaps per BAC, with more than 44% of those gaps being uncaptured; this characteristic (in addition to other features of platypus sequence mentioned above) has made the finishing of platypus sequence more challenging than that of any other species' sequence encountered to date.

The long evolutionary distances between sequences used can make alignment of homologous residues of DNA sequence much more challenging than alignment of corresponding amino acid sequences.

This makes minisatellite map alignment algorithmically more challenging than the standard sequence alignment problem.

In general, the magnitude of the disturbances during training sessions progressed from less to more challenging; however, the exact sequence was not established a priori.

The identification of functional DNA regulatory sequences is more challenging than coding regions, despite the fact that they are generally described by a sequence motif.

Though HTS platforms provide relatively uniform coverage in many standard sequencing experiments, in some of the more challenging applications, such as transcriptome sequencing, the coverage remains drastically uneven (Li et al., 2010; Qu et al., 2009).

More challenging have been T2-weighted sequences.

Assembly of short reads becomes even more challenging when many long repeat sequences are present in the genes, which is usually the case for bacterial and archael genomes.