Sentence examples for technologies data analysis from inspiring English sources

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Recent improvements in sequencing technologies, data analysis techniques, and study design, allow definition of the microbiota within these intimate and important relationships with increasing accuracy.

Notable investments: SpaceX (space transportation); Palantir Technologies (data analysis) 2. Andreessen Horowitz The players: Marc Andreessen, Ben Horowitz These relative newcomers (founded 2009 with an initial $300m) have become leaders in late-stage investing for software, web and mobile.

Recently, with the rapid expansion of information technologies, data analysis is becoming increasingly complex.

With content analysis to the journal articles about smart learning environments from 2001 to 2013, Li and Kong (2014) indicated that the most attractive characteristic of the smart classroom is its integration of all kinds of interactive technologies, data analysis techniques, and context-aware technologies and devices to support the digital intelligence teaching and learning activities.

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A specialist in the intersection of fine art and technology, data analysis of the global art market, and collector behavior, Madelaine D'Angelo founded the online investment platform, Arthena, to bridge the gap between art advisors and the next generation of great collectors.

Rosenblatt's Crime Strategies Unit, according to the state's attorney's website, uses "technology, data analysis, and intelligence-gathering to identify trends in crime, focus in on the offenders driving that crime, and target those offenders for enforcement".

With rapid improvements in the shRNA technology, data analysis methods for this are high in demand.

When considering the application of microarray technology, data analysis is a significant obstacle to users without specialized knowledge in bioinformatics analysis of microarray data and nucleic acid sequences.

We apply new technologies and data analysis approaches to this challenge, particularly high-throughput DNA sequencing and single-cell monoclonal antibody generation, in parallel with other functional assays.

We apply new technologies and data analysis approaches to this challenge, particularly high-throughput DNA sequencing and single-cell monoclonal antibody generation, in parallel with functional assays.

Despite the advent of next-generation sequencing (NGS) technologies, sophisticated data analysis and drug development efforts, bacterial drug resistance persists and is escalating in magnitude.

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