Sentence examples for to manipulate datasets from inspiring English sources

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The pybedtools library allows one to manipulate datasets at both the file and individual feature level using the BedTool and Interval classes, respectively.

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The latter provides immense resources for cloud users to manipulate complex datasets in applications [21].

It was therefore inappropriate to manipulate the datasets in accordance with a hypothesis and then test for it.

Although there are ways to manipulate multigenic datasets using scripts, this requires programming skills, and in practice experimental population geneticists often do that manually.

This data structure makes it trivial to manipulate multiple datasets in the project; e.g. exclusion of one individual from analysis can be done with a couple of mouse clicks, which results in automatic exclusion of all sequences linked to that individual.

Pybedtools simplifies complicated analyses by extending the functionality in BEDTools and by providing, to our knowledge, the first Python library offering a common interface for manipulating datasets in diverse formats.

The contributions of this work are a comparative performance analysis of the marching cubes technique with different spatial data structures, and a development of an application capable of manipulating datasets from several fields of knowledge, which permits its use as a framework to be integrated in visualization environments, obtaining high real-time rendering rates as well.

To solve this problem, we have created SeqPig, a library and a collection of tools to manipulate, analyze and query sequencing datasets in a scalable and simple manner.

Tools designed to manipulate, intersect and annotate these datasets in commonly-used formats greatly facilitate such analyses and provide a consistent framework for reproducible research.

Clearly, the rate of change in the technology environment around us is dramatic: tools like Facebook, Twitter, Foursquare, Google (Earth/Scholar/…), Mendeley and Dropbox have penetrated our working lives and techniques like MapReduce [ 19] impact greatly our ability to manipulate and analyse massively large datasets.

Technically, it refers to datasets that are too large and complex to manipulate or interrogate with standard methods or tools.

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