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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Related Experiment Video

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High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq
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F-Seq: a feature density estimator for high-throughput sequence tags.

Alan P Boyle1, Justin Guinney, Gregory E Crawford

  • 1Institute for Genome Sciences and Policy, Duke University, Durham, NC 27708, USA.

Bioinformatics (Oxford, England)
|September 12, 2008
PubMed
Summary
This summary is machine-generated.

F-Seq is a new software package that creates a continuous signal from high-throughput sequencing data. This allows for easier identification and visualization of important biological sequence features in genome browsers.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • High-throughput sequencing technologies like ChIP-seq and DNase-seq are widely used.
  • Analyzing the vast amounts of sequence data generated can be challenging.

Purpose of the Study:

  • To develop a software package for intuitive summarization and display of individual sequence data.
  • To generate an accurate and interpretable signal from tag sequencing data.

Main Methods:

  • Developed F-Seq, a software package written in Java.
  • F-Seq generates a continuous tag sequence density estimation.

Main Results:

  • The software provides an interpretable signal from sequencing data.
  • Identifies biologically meaningful sites within the sequence data.

Conclusions:

  • F-Seq enables intuitive visualization of sequencing data.
  • Output is compatible with the UCSC Genome Browser for direct display.