Sentence examples for explosion of sequence from inspiring English sources

The explosion of sequence information in bacteria makes developing high-throughput, cost-effective approaches to matching genes with phenotypes imperative.

With the explosion of sequence data, many genes for terpenoid metabolism can be characterized by biochemical approaches and used for the microbial production of terpenoids.

However, the recent explosion of sequence and structure information accompanied by the development of powerful computational methods led to the accumulation of examples of homologous proteins with globally distinct structures.

However, with the explosion of sequence analysis needs, it became necessary to provide access to bioinformatics tools to a larger number of biologists.

The international genome initiatives which started in the late 1990s and exploited rapid sequencing techniques, enabled the completion of the human genome by the millennium, and resulted in an explosion of sequence data by the turn of the century.

Because of the explosion of sequence data and of the evolutionarily labile nature of TEs, ab initio approaches to repeat identification have become highly desirable to automate the construction of consensus TE library from complete or partial genome sequences.

The current explosion of sequencing whole genomes from organisms, including mosquitoes, promises many potentially informative genes beyond those included here.

While this goal first gained steam in non-model systems with the widespread adoption of quantitative trait locus (QTL) mapping in the late 1990s, the recent explosion of sequencing technologies is likely to only heighten interest in this goal.

We have initially defined the evolutionary conservation based on a limited number of proteins [ 12], following the expansion in available sequences, but the recent explosion of available sequence data, strongly warrants revisiting of this issue of the evolution of the DCX protein family.

The explosion of genomic sequence data and the significant advancements in synthetic biology have led to the development of new technologies for natural products discovery and production.

The gigantic explosion of biological sequence databases leads to an urgent need for accelerating these computations.