RNA-Seq

RNA-Seq (named as an abbreviation of RNA sequencing ) is a technique that uses next-generation sequencing to reveal the presence and quantity of RNA molecules in a biological sample, providing a snapshot of gene expression in the sample, also known as transcriptome. Specifically, RNA-Seq f...

RNA-Seq Data Analysis Workshop (March 11-14, 2024 in Berlin) - ecSeq Bioinformatics

In a nutshell ; Learn the essential computing skills for NGS bioinformatics ; Understand NGS analysis algorithms (e.g. read alignment) and data formats ; Use bioinformatics tools for handling RNA-Seq data

RNA-seq data · Issue #4 · popgenDK/SATC · GitHub

Hello! Is it possible to use SATC with RNA-seq data?

Full-length transcriptome assembly from RNA-Seq data without a reference genome | Nature Biotechnology

Reconstructing full-length transcripts from high-throughput RNA sequencing data is difficult without a reference genome sequence. Grabherr et al. describe Trinity, an algorithm for assembling full-...

Analyzing RNA-seq data with DESeq2 - Bioconductor

Data transformations and visualization ; Count data transformations · Blind dispersion estimation · Extracting transformed values · Variance stabilizing transformation · Regularized log transformation · Effects of transformations on the variance ; Data quality assessment by sample clustering and visualization · Heatmap of the count matrix · Heatmap of the sample-to-sample distances · Principal component plot of the samples

Normalization of RNA-seq data using factor analysis of control genes or samples

Remove unwanted variation (RUV) is a new statistical method for RNA-seq data normalization that uses control genes or samples to improve differential expression analysis. Normalization of RNA-seque...

서로 다른 scRNA-seq data integration하기!_Public Data [R]_2

저번부터 서로 다른 논문에서 나온 2개의 single cell RNA seq data를 분석하기 위해서 integration하는 방법을 정리하고 있습니다. 저번에는 merge하고 UMAP을 그렸을 때, 각각의 paper끼리 나누어지는 것을 볼 수 있었습니다. 이는 batch effect에 의해서 나타나는 형상인데요. 이러한 형상을 없애고, 각각 같은...

RNA-seq data processing · Issue #94 · JiekaiLab/scTE · GitHub

Thank you very much for your help, thank you I want to know if this tool can handle RNA-seq data, or can it only handle single-cell data? I wish you good luck with your research

[Bioinfo] RNA-seq project 1 - (1) data download

- data download - data transformation - data cleaning - data mapping - mapped read counting - DEGs... com/trufa-a-user-friendly-web-server-for-de-novo-rna-seq-analysis-using-cluster-computing/ 분석을 시작하기 전...

RNA-seq 라이브러리 제작 :: 조바

RNA-seq의 리드는 long read, short read 두 종류로 나눌 수 있다. long read가 short read에 비해 유리한 것이 더 많지만 가장 큰 장점은 시퀀싱된 리드가 어떤 splicing variant에서 유래 했는지 더 잘 유추할 수 있다는 점이다. 때문에 splicing variant분석에 더 유리하다. 하지만 아직까지는...