Tag Archives: analysis pipeline

Kleat – cleavage site analysis of transcriptomes

rna-seq

In eukaryotic cells, alternative cleavage of 3′ untranslated regions (UTRs) can affect transcript stability, transport and translation. For polyadenylated (poly(A)) transcripts, cleavage sites can be characterized with short-read sequencing using specialized library construction methods. However, for large-scale cohort studies as ...

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Seqnature – RNA-Seq Alignment to Individualized Genomes Improves Transcript Abundance Estimates in Multiparent Population

rna-seq

Massively parallel RNA sequencing (RNA-seq) has yielded a wealth of new insights into transcriptional regulation. A first step in the analysis of RNA-seq data is the alignment of short sequence reads to a common reference genome or transcriptome. Genetic variants ...

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Multiple Studies Cite Progress toward Quality Transcriptomes

rna-seq

from Genetic Engineering News RNA sequencing (RNA-seq), a means of depicting the transcriptome, is being used with increasing frequency to characterize a growing array of conditions—everything from prenatal birth defects to disorders of the elderly. Yet the technique, which is ...

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RNA-Seq with iReport and InSilico DB

rna-seq

RNA-Seq, or transcriptome sequencing, continues to be an exciting way to explore gene expression using next-generation sequencing (NGS). But for many researchers, the interpretation of RNA-Seq data remains a daunting task because they are using spreadsheets to read transcript names ...

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RNA-Seq a hot topic at last month’s ISMB conference

rna-seq

Poster – A50 Gene expression analyses of RNA-Sequencing data across multiple cancers to identify Basal-like cancer subtypes Kevin Thompson, Mayo Clinic, United States Xiaojia Tang, Mayo Clinic, United States Jason Sinwell, Mayo Clinic, United States Peter Vedell, Mayo Clinic, United ...

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iRAP – an integrated RNA-seq Analysis Pipeline

rna-seq

RNA-sequencing (RNA-Seq) has become the technology of choice for whole-transcriptome profiling. However, processing the millions of sequence reads generated requires considerable bioinformatics skills and computational resources. At each step of the processing pipeline many tools are available, each with specific ...

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