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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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相关实验视频

Updated: Jun 23, 2025

In Situ Detection and Single Cell Quantification of Metal Oxide Nanoparticles Using Nuclear Microprobe Analysis

In Situ Detection and Single Cell Quantification of Metal Oxide Nanoparticles Using Nuclear Microprobe Analysis

Published on: February 3, 2018

一个MATLAB工具箱用于可查找,可访问,可互操作和可重复使用的原子探测器数据科学数据.

Martina Heller^1,2, Benedict Ott¹, Valentin Dalbauer¹

¹Institute for General Materials Properties, Department of Materials Science, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen 91058, Germany.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada

|June 17, 2024

概括

本研究介绍了用于原子探头断层扫描 (APT) 数据分析的 MATLAB 工具箱. 它使复制性,公平的数据管理和复杂的材料科学数据集的自动处理成为可能.

关键词:

公平的原子探测器数据科学数据科学在 HDF5 模式下.原子探测器数据库原子探测器数据库存储APT数据的APT数据的存储

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相关实验视频

Last Updated: Jun 23, 2025

In Situ Detection and Single Cell Quantification of Metal Oxide Nanoparticles Using Nuclear Microprobe Analysis

In Situ Detection and Single Cell Quantification of Metal Oxide Nanoparticles Using Nuclear Microprobe Analysis

Published on: February 3, 2018

Atom Probe Tomography Analysis of Exsolved Mineral Phases

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Published on: October 25, 2019

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions

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Published on: April 18, 2025

科学领域:

材料科学材料科学材料科学
数据分析数据分析数据分析.
科学仪器仪表科学仪器仪表

背景情况:

原子探头断层扫描 (APT) 数据分析传统上依赖于手动解释.
来自先进APT的日益复杂的数据集需要系统和可重复的分析方法.
可查找,可访问,可互操作和可重复使用 (FAIR) 数据的原则对于科学进步至关重要.

研究的目的:

介绍一个基于MATLAB的工具箱,用于标准化的APT数据管理和分析.
为了促进APT数据的可复制和自动化处理.
在材料科学界促进采用FAIR数据原则.

主要方法:

开发一个用于APT数据分析的MATLAB工具箱.
实现层次数据格式5 (HDF5) 用于标准化数据存储.
创建一个可脚本的环境,以尽量减少手动数据处理.
用于材料科学应用的可扩展元数据方案的设计.

主要成果:

该工具箱允许以符合FAIR的格式存储原始和处理的APT数据.
数据处理在很大程度上是可脚本的,减少了手动输入,提高了可重现性.
该系统允许无数据交换和分析复制.
提供了一个标准化的元数据方案,可适应各种材料科学实验.

结论:

开发的工具箱提高了APT数据分析的可复制性和可访问性.
它支持大型和复杂的材料科学数据集的自动处理.
这种方法促进了集体知识的建立,并促进了APT研究中的FAIR数据实践.