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Proteomics

Proteomics

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...

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Related Experiment Video

Updated: Jun 17, 2025

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data

Published on: May 15, 2019

BioLadder: A bioinformatic platform primarily focused on proteomic data analysis.

Yupeng Zhang¹, Chunyuan Yang², Jinhao Wang¹

¹Beijing Qinglian Biotech Co., Ltd. Beijing China.

|August 13, 2024

Summary

This summary is machine-generated.

BioLadder is an online platform for proteomics research, offering diverse data analysis modules for easy and efficient study. It also supports other omics data analysis, enhancing user experience with specialized functions.

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Last Updated: Jun 17, 2025

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Published on: May 15, 2019

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Area of Science:

Proteomics
Bioinformatics
Omics Data Analysis

Background:

Proteomics research generates vast datasets requiring specialized analysis tools.
Existing platforms may lack comprehensive modules or user-friendly interfaces for complex analyses.
The integration of diverse omics data analysis is crucial for a holistic biological understanding.

Purpose of the Study:

To introduce BioLadder, an integrated online platform for proteomics data analysis.
To provide a suite of experimental and common data analysis modules for efficient research.
To extend the platform's utility to other omics data types and enhance user experience.

Main Methods:

Development of three classes of experimental data analysis modules.
Incorporation of four classes of common data analysis modules.
Design of four user-centric functions for quick and accurate module utilization.

Main Results:

BioLadder offers a comprehensive solution for various proteomics analyses.
The platform facilitates easy and efficient data interpretation.
Most modules are adaptable for analyzing other omics data, increasing versatility.

Conclusions:

BioLadder serves as a valuable, user-friendly online resource for proteomics and broader omics data analysis.
The platform's design promotes efficient and accurate scientific discovery.
Its adaptability makes it a powerful tool for researchers across different biological disciplines.