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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

Next-generation Sequencing

Next-generation Sequencing

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....

Sanger Sequencing

Sanger Sequencing

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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Updated: Sep 9, 2025

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

Published on: October 5, 2018

スカファリ: scDNA-seqデータを調査する

Sophie-Marie Wind¹, Thea Reinkens², Yvonne Lisa Behrens³

¹Institute of Medical Informatics, University of Muenster, Muenster, 48149, Germany.

Bioinformatics (Oxford, England)

|September 2, 2025

まとめ

この要約は機械生成です。

scafariは単細胞DNA配列データを分析するための新しいオープンソースツールです. ユーザーフレンドリーな品質管理と変異分析を提供し,現在のバイオインフォマティクスソフトウェアのギャップを埋めています.

キーワード:

品質管理について単細胞DNAシーケンシング変数呼び出し

さらに関連する動画

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Pattern-based Search of Epigenomic Data Using GeNemo

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

関連する実験動画

Last Updated: Sep 9, 2025

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

Published on: October 5, 2018

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Pattern-based Search of Epigenomic Data Using GeNemo

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

科学分野:

ゲノミクス
バイオ情報学
分子生物学

背景:

単細胞配列化は個々の細胞発現パターンの分析を可能にします.
単細胞DNA配列解析は単細胞のゲノムに洞察力を与えてくれます
単細胞DNAシーケンスデータの処理と質分析のための限られたオープンソースソフトウェアが存在します.

研究の目的:

スカファリという新しいオープンソースのソフトウェアを紹介します
単細胞DNAシーケンシングのデータ品質管理をユーザーフレンドリーにすることです
探索的な変異分析と単細胞DNAシーケンシングデータの可視化.

主な方法:

scafariはRバイオコンダクターパッケージとして実装されています.
このツールは,インタラクティブな使用のための統合された輝くアプリケーションを備えています.
これは https://bioconductor.org/packages/scafari でダウンロードできます.

主要な成果:

Scafariは使いやすいデータ品質管理機能を提供しています.
このソフトウェアは,探索的な変異分析を容易にする.
単細胞DNAシーケンスデータの可視化がサポートされています.

結論:

scafariは,単細胞DNA配列分析のユーザーフレンドリーなオープンソースソフトウェアのニーズに対応しています.
このツールは,このデータタイプの品質管理と変数分析のアクセシビリティを向上させます.
scafariは研究者に単細胞ゲノムデータからより深い洞察を得ることを可能にします