研究人员使用CLC分析了RNAseq数据,生成了差异表达结果。 CLC可以处理多种测序平台产生的原始数据,拥有全面的生信分析工具,方便没有代码背景的的非生信研究人员快速上手进行生信分析。它还拥有多套工作流程(如下图),高效地进行流程化的数据处理。例如:CLC中对于CRISPR的RNA数据处理流程大致包含下载合适的参考基因组、修剪...
CLC能够完成单细胞RNA-seq数据分析、单细胞ATAC-seq数据分析、宏基因组数据分析、扩增子数据分析、耐药基因分析、WGS/WES重测序数据分析、转录组数据分析、甲基化数据分析、ChIP-seq数据分析、二代和三代测序数据的拼接、基因组注释等等。 2024年初,我们迎来了全新的CLC 24.0版本。此次更新聚焦于分析功能提升和个性化设...
CLC Genomics Workbench Premium是一款综合性生物信息学分析工具,其中的单细胞模块能够完成scRNA-seq、scTCR-seq、scBCR-seq、scATAC-seq、CITE-seq、TotalSeq、BEAM、Visium空间组学等数据的分析。 近日,CLC单细胞模块发布了今年的第二次更新,包括reads注释和Parse Biosciences分析工具。 01、注释单细胞Reads Annotate Si...
By contrast, transcriptome sequencing (RNA-seq) can be used to identify the alleles being expressed. Such knowledge is crucial for the identification of drug-resistance variants and effective drug targets.A. ArensAM. HeinU. AppeltA. Joecker...
RNA-seq的分析常用来检测差异基因,CLC在进行数据的质控后,可计算基因和转录本的表达值,比如Total Counts, Unique Counts, TPM和RPKM,然后将统计结果进行可视化选项进行可视化:火山图,热图,PCA图和维恩图等。 Ingenuity Pathway Analysis(IPA) IPA搭建了Ingenuity Knowledge Base(IKB)知识库。该数据库自1998年起开始构建...
RNA-seq data analysis using QIAGEN CLC Genomics Workbench 27 viewsMarch 25, 2025 59:55 QIAGEN CLC Genomics Analysis of microbial communities for biotransformation, biodegradation and... 20 viewsMarch 25, 2025 01:18:30 QIAGEN CLC Genomics
Explore case studies Need more capabilities? Are you looking for NGS, RNA-seq or biomedical genomics analyses? Upgrade to our premium solution Dig into the details We’re always cooking up new tools, bug fixes and plugins. See recent improvementsSee system requirements...
PCA for RNA-Seq Principal Component Analysis makes it possible to project a high-dimensional dataset (where the number of dimensions equals the number of genes or transcripts) onto two or three dimensions. This helps in identifying outlying samples for quality control, and gives a feeling for ...
CLC Genomics Workbench适用于遗传学、转录组学和表观遗传学研究。其包含多种功能,包括独特的read mapping和基因组从头组装功能,还为再次测序、ChIP-seq和RNA-seq提供相关应用。 Product Resources 安全数据表 (1) 产品介绍与指南 (1) 安全数据表 (10)
Here, we describe the general software platform with special emphasis on the four major tag-sequencing workflows supported: RNA-seq, small RNA-seq, Tag-seq and ChIP-seq.doi:10.1002/9783527644582.ch25Roald ForsbergSøren MønstedAnne-Mette Hein...