Sentence examples for array based method from inspiring English sources
We used the experimentally determined DHS sites reported by Sabo et al. in human B lymphoblastoid cells using a tiling array based method, where 2690 DHS were mapped into 1% of the human genome (ENCODE regions) [43].
The first additional data set contains six samples, randomly selected from the 1000 Genomes Project [ 8], that were sequenced on the Illumina GAII with capturing performed with an array based method.
The array based method is also more direct in that there are fewer steps between RT-PCR and data acquisition, thus exhaustive cloning and its potential biases are avoided.
Compound descriptor array based methods use machine learning approaches to relate compound interactions with arrays of observations regarding a compound.
Future array based methods could include mRNA profiling and a separate array for profiling the genotype of the corresponding probe sets and their surrounding regions.
Furthermore, genotyping methods are relatively inexpensive, robust and rapid, and thus would likely be significantly less expensive than expression array based methods.
Compared to array based methods, MLPA, with subsequent validation of potential deletions, is a relatively practical, inexpensive and fast tool for screening for chromosome rearrangements in ASDs.
Array based methods (including aCGH and SNP arrays) provide an approach to screen all the 24 human chromosomes simultaneously, and are well established when applied to PGD/PGS SNPNP array is widely used in clinics.
The advantage of this approach is seen especially in and near highly duplicated genomic regions, such as segmental duplications (SDs) where most of the array based methods fail [ 27, 28].
Several different types of array based methods have been used over the past few years for assessing copy number changes on a genome wide scale in NB tumors [ 4- 14].
Suffix tree and suffix array based methods build a data structure from the input reads, and replace a substring in a read if its number of occurrences falls below that expected given a probabilistic model.
