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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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
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Maxam-Gilbert Sequencing

In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
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Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
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Sanger Sequencing

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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Evolutionary Relationships through Genome Comparisons

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Introductory Analysis and Validation of CUT&RUN Sequencing Data
04:58

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

Managing sequence data.

Ilene Karsch Mizrachi1

  • 1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.

Methods in Molecular Biology (Clifton, N.J.)
|June 20, 2008
PubMed
Summary
This summary is machine-generated.

The International Nucleotide Sequence Database (INSD) provides free access to all public nucleotide and protein sequences. This resource is essential for bioinformatics research, enabling gene discovery and functional prediction.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Molecular Biology

Background:

  • Nucleotide and protein sequences are fundamental to bioinformatics.
  • These sequences are crucial for gene discovery and predicting protein functions.

Purpose of the Study:

  • To summarize nucleotide sequence database resources.
  • To provide guidance on sequence submission.
  • To explain data access methods.

Main Methods:

  • Accessing and summarizing information from the International Nucleotide Sequence Database (INSD).
  • Describing the structure and content of the DDBJ/EMBL/GenBank databases.
  • Outlining procedures for sequence submission and data retrieval.

Main Results:

  • The International Nucleotide Sequence Database (INSD) is a centralized, freely accessible resource.
  • It encompasses all publicly available nucleotide and derived protein sequences.
  • The chapter details how researchers can utilize these resources.

Conclusions:

  • The INSD is a vital global resource for bioinformatics.
  • Understanding its structure and access methods is key for researchers.
  • It facilitates advancements in gene discovery and functional genomics.