Sentence examples for for processing genomic data from inspiring English sources

However, to use such tools as a sufficient replacement to current bioinformatics pipelines, we need more accessible and comprehensive APIs for processing genomic data.

Interfaces are available for processing genomic data from the GenBank database [ 25], RAST [ 26], or the DOE KnowledgeBase [ 27].

The Ensembl system (Hubbard et al., 2002) is an example of a complete platform for processing genomic data, but it was custom built for the needs of the Sanger Institute rather than a community software.

Whether large datasets will significantly improve the ability of clustering methods to detect existing structure when genetic differentiation is small remains to be tested with recent programs that have been specifically developed for rapidly processing population genomic data (Popescu et al. 2014; Raj et al. 2014).

His own work concerns computational methods for processing and interpreting genomic data--data that point to what the make-up of our genes is, what the expression of those genes results in, how genes change over time.

Here we focused on three areas of interest: medical image analysis, physiological signal processing, and genomic data processing.

High resolution array-based comparative genomic hybridization (aCGH) is being used to profile CNAs of ever larger tumor collections, and better computational methods for processing these data sets and identifying potential driver CNAs are needed.

Recognising the capability, Wiewiórka et al. [ 21] developed SPARKSEQ for high-throughput sequence data analysis and the Big Data Genomics (BDG) group recently demonstrated the strength of SPARK in a genomic clustering application using ADAM, a set of formats and APIs as well as processing stage implementations for genomic data [ 22].

VCGDB offers a strategy for processing large amounts of genomic data and is a robust database for genomics and disease-related studies in the Chinese population.

Because arguably the biggest barriers to clinical genomics in healthcare is computational bottlenecks, I have focused my efforts on building new methods for genomic data processing that are fast, accurate, and cost effective.

Individual array files (74 total) were uploaded in ArrayTrack [ 38, 39], the Food and Drug Administration's relational database for genomic data storage, processing, analysis, and visualization that was created at the NCTR.