Significados de computational pipeline en inglés

Selenoprofiles is a computational pipeline able to correctly annotate selenoprotein genes in genomic sequences.

Using a specific computational pipeline for plant microRNA identification, we identified 24 novel microRNA families.

This paper describes the sequencing protocol and computational pipeline for the PGV-001 personalized vaccine trial.

To explore these issues systematically, we first developed a computational pipeline to identify transcribed pseudogenes from RNA-Seq data.

Functional annotation of significant results was obtained via a computational pipeline exploiting ontology and interaction networks, and tissue-specific and gene set enrichment analyses.

We present a data-driven computational pipeline for the genome-wide identification of SL interactions in cancer by analyzing large volumes of cancer genomic data.

To walk the user through the computational pipeline, we use a recently published experiment predicting protein sub-cellular localisation in pluripotent embryonic mouse stem cells.

We developed a computational pipeline that carefully controls for false positives while calling RNA editing events from genome and whole-transcriptome data of the same individual.

We describe a generic computational pipeline for quantitative cross-linking mass spectrometry consisting of modules for quantitative data extraction and statistical assessment of the obtained results.

A web-based interactive tool allows online figure customization, from which R code can be downloaded for integration with computational pipelines.

Besides the interactive web interface, g:Profiler can be accessed in computational pipelines using our R package, Python interface and BioJS component.