Sentence examples for greater read length from inspiring English sources

We chose 454 sequencing chemistry for greater read length, since the genome of onion has not been sequenced and there is only limited transcriptome data [ 22, 23].

Using LAST [ 14] as the read aligner generated more aligning reads, 47 751, with a greater read length average, 750-1143 bp.

Third-generation sequencing promises faster turnaround times and exponentially greater read lengths and sequence coverage.

For example, breseq currently does not attempt to resolve new junction evidence that could support tandem sequence duplications greater than the read length.

Generally, phase becomes an issue when the size of the non-polymorphic gap between any two alleles is greater than the read length, since different combinations could result in different alleles.

Thus, the performance of HLAminer for robust four-digit HLA allele calls is a limitation of the current data sets and performance is expected to improve as sequencing technologies evolve to offer greater accuracy and read length at reduced cost.

However, at least 20% of these genes are of similar or greater quality (average read length and proportion coding sequence) of sequences with significant alignments, and may include genes that are novel or highly divergent between O. taurus and Tribolium.

However, for the datasets with greater mean read lengths of around 500-bp, Bowtie2 becomes slower than both CUSHAW2 and BWA-SW and BWA-SW outruns CUSHAW2.

In an application example, DeconSeq was applied to 202 longer-read metagenomic datasets previously published and with a mean read length greater than 150 bp (see Table S1).

We used a variable number of mismatches per run: for runs with a read length greater than 90 bases we allowed 4 mismatches; for a read length between 60 and 90 we allowed 3 mismatches; and for shorter reads we allowed 2 mismatches.

Greater sequencing depth and read length, more advanced assembly software [ 6, 34] and most importantly, lower costs, now make RNA-Seq an attractive alternative to designing and using custom microarrays for researchers wanting to study the transcriptomes of species that don't have genomic resources.