Tag Archives: RNA-Seq

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RNA-Seq Boston – 2015

RNA-Seq Boston – 2015

RNA-Seq Boston 2015 will enable scientists to overcome the data bottleneck by applying the most appropriate bioinformatics tools and develop a unified, integrated approach for analysis and interpretation of huge data sets, which in turn can positively impact therapeutic and clinical developments. This is an ...

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Stranded Whole Transcriptome RNA-Seq for All RNA Types

Stranded Whole Transcriptome RNA-Seq for All RNA Types

Stranded whole transcriptome RNA-Seq described in this unit captures quantitative expression data for all types of RNA including, but not limited to, miRNA (microRNA), piRNA (Piwi-interacting RNA), snoRNA (small nucleolar RNA), lincRNA (large non-coding intergenic RNA), SRP RNA (signal recognition ...

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AtCAST3.0 Update – A web-based tool for analysis of transcriptome data by searching similarities in gene expression profiles

AtCAST3.0 Update – A web-based tool for analysis of transcriptome data by searching similarities in gene expression profiles

In transcriptome experiments, the experimental conditions (e.g., mutants and/or treatments) cause transcriptional changes. Identifying experimental conditions that induce similar or opposite transcriptional changes can be used to identify experimental conditions that affect the same biological process. AtCAST is a web-based ...

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Strategies for transcriptional splice variant detection

Strategies for transcriptional splice variant detection

The advent and improvement of high-throughput sequencing over the past decade leveraged the study of whole genomes and transcriptomes of different organisms at lower costs. In transcriptomics, RNA-Seq expands our capacity to understand gene expression in different tissues and pathologies, ...

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dRNA-Seq – Riboswitch Discovery by Combining RNA-Seq and Genome-Wide Identification of Transcriptional Start Sites

dRNA-Seq – Riboswitch Discovery by Combining RNA-Seq and Genome-Wide Identification of Transcriptional Start Sites

Deep-sequencing technologies applied to RNA have tremendous potential to identify novel transcripts with single-nucleotide resolution. By combining whole-transcript cDNA sequencing (RNA-seq) and genome-wide identification of transcription start sites (dRNA-seq), it is possible to characterize long 5′-untranslated regions potentially endowed with ...

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