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相关概念视频

RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

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Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific...
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Sanger Sequencing

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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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Introduction to R01:11

Introduction to R

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R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
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Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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相关实验视频

Updated: Jul 4, 2025

A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe
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vcfpp:用于快速处理变种调用格式的C++ API.

Zilong Li1

  • 1Section for Computational and RNA Biology, University of Copenhagen, Copenhagen 2200, Denmark.

Bioinformatics (Oxford, England)
|January 26, 2024
PubMed
概括

vcfpp是一个新的C++ API,用于快速安全地处理变种调用格式 (VCF/BCF) 文件. 它还可以开发高性能R包,用于快速变异分析.

科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 变种调用格式 (VCF/BCF) 被广泛用于存储基因组变异数据.
  • 基因组学中的大数据不断增加,需要高效的数据处理工具.
  • 现有的方法可能缺乏速度,灵活性或跨语言兼容性.

研究的目的:

  • 开发一个快速,灵活,便携的C++ API用于VCF/BCF操纵.
  • 创建一个高性能的R包,利用C++ API进行变体分析.

主要方法:

  • 开发了vcfpp,这是一个单个文件的C++ API,用于HTSlib.
  • 实现了一个直观的界面,用于快速和安全的VCF/BCF文件处理.
  • 在R中创建了vcfppR包,以展示vcfpp的功能.

主要成果:

  • vcfpp为VCF/BCF文件提供了一个高效和安全的C++接口.
  • vcfppR可以在R环境中进行高性能变体分析.
  • 开发的工具可以在各种编程语言中移植.

结论:

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  • vcfpp提供了一个强大的解决方案来处理大规模的基因组数据.
  • vcfppR促进了简化和加快变体分析工作流程.
  • 这些工具解决了对高效生物信息学数据处理的日益增长的需求.