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Related Concept Videos

RNA-seq03:21

RNA-seq

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. 
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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

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Related Experiment Video

Updated: Jun 8, 2026

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
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Geoseq: a tool for dissecting deep-sequencing datasets.

James Gurtowski1, Anthony Cancio, Hardik Shah

  • 1Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, NY 10029, USA.

BMC Bioinformatics
|October 14, 2010
PubMed
Summary

Geoseq simplifies deep-sequencing data analysis by mapping reference sequences against public datasets. This novel approach aids in identifying relevant biological data and analyzing microRNAs (miRNAs) and gene expression.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Public repositories like GEO and SRA house vast deep-sequencing data.
  • Accessing and analyzing these datasets is challenging due to data heterogeneity and location difficulties.

Purpose of the Study:

  • To develop a user-friendly web-based tool for analyzing deep-sequencing data.
  • To simplify the identification and analysis of relevant public sequencing datasets.

Main Methods:

  • Geoseq employs a reverse mapping strategy, aligning reference sequences against sequencing data.
  • Utilizes suffix arrays to measure sequence tile coverage within libraries.
  • Organizes public data using a controlled vocabulary for efficient searching by organism, tissue, and experiment type.

Main Results:

  • Geoseq provides a web interface for analyzing short reads from deep sequencing experiments.
  • Users can upload custom sequences or use gene/miRNA names for targeted searches.
  • Results are returned as downloadable plots and spreadsheet files, facilitating further analysis.

Conclusions:

  • Geoseq simplifies the analysis of small sequence sets against large deep-sequencing datasets.
  • The tool aids in identifying differential isoform expression, miRNAs, and potential mis-annotated miRNAs.
  • Geoseq offers a unique and valuable solution for exploring and analyzing public sequencing data.