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Updated: Aug 1, 2026

Chromatin Interaction Analysis with Paired-End Tag Sequencing ChIA-PET for Mapping Chromatin Interactions and Understanding Transcription Regulation
21:55

Chromatin Interaction Analysis with Paired-End Tag Sequencing ChIA-PET for Mapping Chromatin Interactions and Understanding Transcription Regulation

Published on: April 30, 2012

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我们会丢弃好的数据吗? 在长时间读取的安普利康上对奇梅拉检测算法的评估显示,在算法中,错误阳性率很高

Ali Hakimzadeh1, Vladimir Mikryukov1,2, Martin Metsoja1

  • 1Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.

PeerJ
|December 10, 2025
PubMed
概括

长时间读取的安普利康序列的基准化默拉检测算法显示,uchime_denovo提供了卓越的精度. 虽然大多数算法都在与假阳性作斗争,但整体生物多样性估计在各种方法中保持稳健.

关键词:
生物信息学是一种生物信息学.在新的一次喜梅拉检测检测.内部转录的间隔器长读序列的测序方式超标标的编码是metabarcodingrRNARNArRNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNARNA

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CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion

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Rare Event Detection Using Error-corrected DNA and RNA Sequencing10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

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相关概念视频

Mismatch Repair01:36

Mismatch Repair

Overview
Mismatch Repair01:20

Mismatch Repair

Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This number is...
Data Validation01:15

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include: