Such B-lineage-specific lentiviral vectors may be useful for correcting inherited disorders that affect B-lymphoid cells or for deciphering the transcriptional program that controls B cell commitment and differentiation.
Molecular data such as these may be useful for correcting ladderized thinking because DNA and protein sequences are likely to evolve at similar rates along different evolutionary lineages; this may prevent students from inferring that one extant species is the ancestor of another extant species (Omland et al. 2008).
We have presented a mixture model assumption-free normalization algorithm, BMIQ, which will be useful for correcting the bias associated with the type2 assay in DNA methylation studies using the Illumina Infinium 450 k platform.
These methods have the potential to be both faster and less error-prone than traditional methods, yet have also proven to be useful for correcting sequencing errors during the initial step of mapping and assembly pipelines [ 3] and to detect overlapping reads from sequencing datasets [ 4].
Comparison with other previously sequenced strains using the Artemis Comparative tool (Carver et al. 2005) was useful for correct orientation of different contigs, due to the genomic stability demonstrated by these genomes.
Given the importance of gene duplication in the evolution of eukaryotic genomes in general and of several lineages of great interest in particular [17] [19], understanding such challenges is useful for correct reconstruction of evolutionary history.
The instructional techniques that are useful for correcting student misconceptions regarding natural selection are useful for correcting misconceptions in any subject.
Supervised copy number analysis is useful for correcting the various types of noise and artifacts that can be present in DNA copy number profiles.
An alternative or complimentary manual clustering option is also available, which is useful for correcting abnormalities that can occur when REGROUPS is applied to data of poorer quality, of highly atypical or abnormal pattern that REGROUPS cannot adequately handle, or when the user wishes to view an alternate clustering option.
Determining which method is more robust and why the two approaches yield different results would be useful for identifying the correct outcomes in this study and for other researchers to choose the appropriate approach in their future studies.
