Sentence examples for massive sequencing technologies from inspiring English sources

In addition, in the last few years massive sequencing technologies have also been developed for transcriptome analysis [ 7, 24, 35].

In this review, we focus on the disease-specific gene mutations in MLN discovered by recent massive sequencing technologies.

Available massive sequencing technologies, leading to the simultaneous analysis of hundreds of different genetic regions, are increasing the molecular characterization of solid tumors.

The main weaknesses of sequencing strategies are library bias, cost, availability, and difficulties in data management and analysis, although the cost of massive sequencing technologies is rapidly decreasing.

Today, given the constant improvement in cost/benefit of massive sequencing technologies, it is possible to think in whole genome shotgun (WGS) approaches to try to answer global internal group diversity.

Before massive sequencing technologies became available, phenotype-related ENU-induced mutations were short-listed in a lengthy procedure of out-crossing and meiotic mapping that identified linkage chromosomes, or finer linkage regions of approximately 20 MB.

In recent years, development of massive sequencing technology has led to new possibilities for high-throughput genome analysis [ 3].

The massive sequencing technology generates enormous amounts of candidate genes potentially involved in pheromone biosynthesis but testing their function by heterologous expression or gene silencing is a bottleneck.

Sequences derived from the OLEA EST database [ 35], a collection of over 102,000 Olea europaea L. fruit EST reads generated through 454 massive sequencing technology [ 30], were analysed to identify transcripts putatively involved in the pathways of terpenoids, phenolics and other secondary metabolite synthesis.

Given the massive increase in nucleic acid sequence databases of all organisms, and the advancement in massive parallel sequencing technologies, sequencing possibly infected samples evolves as an increasingly prominent and logical alternative for pathogen characterization.

Use of massive parallel sequencing technologies has changed this outcome, and now many gene mutations have been discovered.