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Related Experiment Video

Updated: May 17, 2026

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

XiP: a computational environment to create, extend and share workflows.

Masao Nagasaki1, André Fujita, Yayoi Sekiya

  • 1Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Japan. nagasaki@megabank.tohoku.ac.jp

Bioinformatics (Oxford, England)
|October 30, 2012
PubMed
Summary

XiP (eXtensible integrative Pipeline) is a user-friendly, modular environment for creating and editing bioinformatics workflows. It supports R and Java components for high-throughput data analysis and custom pipeline development.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • XiP (eXtensible integrative Pipeline) is an open-source software.
  • It is freely available under the Lesser General Public License (LGPL).

Purpose of the Study:

  • To provide a flexible, editable, and modular environment for constructing and editing bioinformatics workflows.
  • To enable users without advanced programming skills to analyze high-throughput data.

Main Methods:

  • XiP allows workflow construction by linking components written in R and Java.
  • It supports the analysis of high-throughput data in grid engine systems.
  • Customized pipelines can be developed, encapsulated, and distributed as packages.

Main Results:

Related Experiment Videos

Last Updated: May 17, 2026

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

  • XiP offers a user-friendly interface requiring no advanced programming knowledge.
  • It includes ready-to-use pipeline flows for common genomic and transcriptomic analyses.
  • The environment integrates approximately 300 computational components.

Conclusions:

  • XiP provides a versatile platform for bioinformatics workflow management.
  • It facilitates the analysis of genomic and transcriptomic data through a modular and customizable approach.