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Related Concept Videos

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
10.2K

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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
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FunRich proteomics software analysis, let the fun begin!

Alberto Benito-Martin1, Héctor Peinado1,2

  • 1Children's Cancer and Blood Foundation Laboratories, Department of Pediatrics, Weill Cornell Medical College, New York, NY, USA.

Proteomics
|July 8, 2015
PubMed
Summary
This summary is machine-generated.

A new software called FunRich offers user-friendly tools for protein and gene analysis. This open-access software aids in functional enrichment and interaction network analysis for proteomics studies.

Keywords:
BioinformaticsExosomesFree accessFunRichSoftware

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Computational Biology

Background:

  • Mass spectrometry (MS) based proteomics is crucial for unbiased protein identification in various biological studies.
  • Despite its importance, there is a need for accessible computational tools to analyze complex proteomics data.
  • Existing tools may lack user-friendliness or comprehensive functionalities for enrichment and network analysis.

Purpose of the Study:

  • To introduce FunRich, an open-access software designed to simplify the analysis of proteomics data.
  • To provide researchers with tools for functional enrichment analysis of genes and proteins.
  • To enable the construction and visualization of interaction networks for biological molecules.

Main Methods:

  • Development of a standalone software application named FunRich.
  • Integration of customizable databases for gene and protein information.
  • Implementation of algorithms for functional enrichment analysis.
  • Incorporation of features for biological network construction and visualization.

Main Results:

  • FunRich provides an intuitive graphical user interface for data analysis.
  • The software facilitates the identification of enriched biological functions and pathways from proteomics datasets.
  • It enables the exploration of gene and protein interaction networks.
  • FunRich supports both small-scale and high-throughput proteomics studies.

Conclusions:

  • FunRich represents a significant advancement in user-friendly proteomics data analysis tools.
  • The software empowers researchers by offering integrated functional enrichment and network analysis capabilities.
  • Its open-access nature and ease of use promote broader adoption in biological research.