Sentence examples for generating read from inspiring English sources

RNA-Seq technology has revolutionized the face of gene expression profiling by generating read count data measuring the transcript abundances for each queried gene on multiple experimental subjects.

As an alternative, we found that generating read pairs with a 10- kb insert plasmid library was more productive.

Prior to generating read counts, Trimmomatic was run to remove ambiguous and low quality reads resulting in the removal of, on average, 5.25 % of reads per sample.

One class of methods focuses on modeling and correcting for bias involved in generating read counts, such as mapping bias favoring the reference alleles [ 20– 20].

With current sequencing technologies capable of generating read lengths up to 2 × 300 bp (Illumina MiSeq; see http://www.illumina.com/systems/sequencing.html), sequencing of flanking intronic regions captured or amplified by exonic probes or primers is becoming straightforward.

Genome sequencing of the isolates (except for Mu_DL045) was performed using an Illumina GAIIx DNA sequencer with 36, 76, or 100 cycle paired-end chemistry, generating read lengths of 35 101 nucleotides and 16-240x mean read depth per isolate.

Metagenomics has been enabled by the advances in second-generation sequencing, with current sequencing machines generating reads that are shorter than those generated with gel-capillary technology.

The RNA-seq libraries were sequenced on the SOLiD5500xl system, generating reads of length 75 bp.

The three key steps for generating reads are: (1) library preparation, (2) library amplification and (3) sequencing.

We derive classification features for the training read-mapping pairs based on the model used for generating reads and the alignment statistics.

Part of this challenge could be addressed by generating reads with a greater likelihood of overlapping homoeo-SNPs, i.e., longer reads.