相关实验视频

Updated: Jul 19, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

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一个统一的,没有假设的特征提取框架,用于各种表观基因组数据

Ali Tuğrul Balcı1,2, Maria Chikina2

  • 1Joint Carnegie Mellon-University of Pittsburgh Ph.D. Program in Computational Biology, Pittsburgh, PA 15213, United States.

Bioinformatics advances
|March 13, 2025
PubMed
概括

一种新的L01细分方法通过识别微妙的基因组信号来增强表观遗传数据分析. 这种方法压缩了复杂的测序数据,揭示了传统算法错过的模式,以获得更好的基因调节见解.

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Pattern-based Search of Epigenomic Data Using GeNemo

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An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues10:41

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

Published on: April 5, 2018

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相关概念视频

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...