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日期:2025-11-15
Many methods and tools are available for preprocessing high-throughput RNA sequencing data and detecting differential expression. ... To use RNA-seq data to compare expression between samples, it is necessary to turn millions of short reads into a ......
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日期:2025-11-18
RNA-seq has become the gold standard for mapping transcriptomes, profiling changes in splicing and measuring gene expression levels. The most widely used method for RNA-seq library construction is the dUTP ... Read More »...
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日期:2025-11-14
There is no question that RNA-Seq has several major advantages over current hybridization-based approach such as microarrays. However, with the cost per sample ... long RNAs are first converted into a library of cDNA fragments through either RNA fragmenta...
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日期:2025-11-19
Use total RNA-Seq for whole-transcriptome analysis. Capture a broad range of gene expression changes and detect both coding and non-coding RNA transcripts. ... Whole-transcriptome analysis with total RNA sequencing (total RNA-Seq) captures a broader range...
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日期:2025-11-15
Perform RNA sequencing (RNA-Seq) for gene expression profiling. Detect and quantify novel transcripts and gene fusions, and study a broad range of RNA samples. ... RNA sequencing (RNA-Seq) has revolutionized the exploration of gene expression. Advances in...
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日期:2025-11-16
Cofactor is the leader in RNA-seq. We've spent the past 5 years pushing the technology and offer researchers the confidence needed to drive their research. ... One of the largest hurdles to RNA-seq has been an intuitive interface that puts the power of di...
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日期:2025-11-16
RNA-seq Analysis Overview GenePattern offers a set of tools to support a wide variety of RNA-seq analyses, including short-read mapping, identification of splice junctions, transcript and isoform detection, quantitation, differential expression, quality c...
starBase v2.0: decoding miRNA-ncRNA, miRNA-ceRNA and protein-RNA interaction maps from large-scale C
瀏覽:318
日期:2025-11-14
starBase v2.0 update available starBase is a database that can be used for decoding miRNA-mRNA, miRNA-ceRNA, miRNA-lncRNA, miRNA-circRNA, miRNA-pseudogene and protein-RNA interaction networks from CLIP-Seq (HITS-CLIP, PAR-CLIP, iCLIP, CLASH ......








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