Sentence examples for most popular sequence from inspiring English sources

Exact(2)

The second most popular sequence motif of the Sirevirus genome according to TEIRESIAS is the 5'LTR/internal domain junction that accommodates the PBS.

It constitutes 14.5% of the whole dataset, and it is the most popular sequence of all, which confirms that this sequence has exceptional ability to multiply.

Similar(57)

Before the next generation sequencing technologies (Zhang et al. 2013) were developed, the most popular sequencing method was the Sanger method, which was applied to the EST sequencing project.

Another example is the Illumina BaseSpace Sequence Hub (https://basespace.illumina.com/home/index), which is a cloud-based genomics analysis and storage platform provided by the producer of the currently most popular sequencing machines.

As a result, TCACTTT, TCATTTT, and CCACTTT were the most popular sequences (88, 63, and 60 times out of 6898, respectively), which was consistent with the initiator consensus.

However, few studies have comprehensively compared and evaluated the accuracy of variant calling between Ion Proton and Illumina sequencing platforms such as HiSeq 2000, which is the most popular sequencing platform for the human genome.

At today, the most popular sequencing platforms for long read generation are the Roche 454 or Ion Torrent PGM platforms, whereas for short read generation are the Illumina and Applied Biosystems platforms.

Progressive multiple sequence alignment is one of the most popular multiple sequence alignment techniques, in which the pair-wise symbol matching scores can be derived from any scoring scheme or obtained from a substitution scoring matrix such as PAM [ 3] or BLOSUM [ 4].

19 The conservation of disulphide bond connectivity pattern enables the identification of remote homologues even when most of popular sequence search methods fail to do so.

However, thanks to improvements in the chemistry of the most common, popular sequencing platforms in recent years, it is now possible to characterise microbial communities in detail down to the family or even genus level.

The MEA framework has been shown to be very effective in constructing accurate alignment of multiple biological sequences, making it one of the most popular approaches for sequence alignment.

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