Sentence examples for analytic pipeline from inspiring English sources
"analytic pipeline" is an acceptable phrase in written English
It is used to describe a set of connected data processing steps and procedures. For example, "The company implemented an analytic pipeline to track customer feedback data from the website and make improvements accordingly."
To effectively implement this method, here we report the development of an analytic pipeline, sequencing enabled genotyping for mapping recombination populations (SEG-Map), for genotype calling and constructing genetic maps from next-generation sequencing data.
Our analytic pipeline included participant-level variant indexing, custom annotation, and R and LATE X scripts.
Comparison of the tumor and matched germline exomes with our analytic pipeline did not reveal additional loci that were statistically different.
Except for the annotation of protein function, the analytic pipeline was entirely self-contained and did not rely on publicly available reference databases.
Step 3: The analytic pipeline allows to correct MANOVA/ANOVA p-values for multiple testing using the correction methods implemented in the R package multtest.
We refer to the whole analytic pipeline consisting of the human-trained classifier and subsequent filters as the aforementioned Monoallelic Gene Inference from Chromatin (MaGIC).
Numerous desktop computer programs exist for rendering images of genomic data, usually in analytic pipelines including Artemis (Carver et al., 2008).
As with the analysis of methylation sequencing data we used two different analytic pipelines: a pipeline designed to capture the variability in methylated signals across the arrays using an F-test and the bumphunting pipeline.
Finally, like all NGS-based experiments, RNA-seq produces a great amount of data the analysis and interpretation of which requires a significant computational infrastructure, as well as custom analytic pipelines and databases.
Analytic pipelines that extract so-called signatures suffer from the "Dimensionality curse": the number of genes expressed exceeds the number of patients we can enroll in the study and use to train the discriminator algorithm.
This situation is fluid, as sequencing technology (in the form of devices that are increasingly more portable, cost less and have a longer read capability) and analysis (in the form of cloud computing, more efficient metagenomic analysis and implementation of automated analytic pipelines) continue to develop apace.
