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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

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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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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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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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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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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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Productive visualization of high-throughput sequencing data using the SeqCode open portable platform.

Enrique Blanco1, Mar González-Ramírez2, Luciano Di Croce3,4,5

  • 1Centre for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Spain. enrique.blanco@crg.eu.

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Summary
This summary is machine-generated.

SeqCode offers a new open-source software suite for analyzing sequencing data, addressing the lack of graphical data mining standards. This tool enhances high-throughput analysis and provides an educational platform for researchers.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Large-scale genome sequencing and primary computational analysis methods are established.
  • A significant gap exists in standardized graphical data mining for sequencing data.
  • Existing tools lack uniform standards for graphical data mining.

Purpose of the Study:

  • To introduce SeqCode, an open suite of applications for elegant and efficient sequencing data analysis.
  • To provide a portable and universally compatible software resource for genomic analysis.
  • To develop a user-friendly web server integrating SeqCode with other graphical analysis tools.

Main Methods:

  • Developed SeqCode as a portable resource written in ANSI C.
  • Integrated SeqCode functions into a user-friendly front-end web server.
  • Compared SeqCode's performance and usability against existing programs.

Main Results:

  • SeqCode provides an elegant yet efficient approach to sequencing data analysis.
  • The software is portable across various computational configurations and genomes.
  • SeqCode demonstrates improved performance and usability over existing tools.
  • A web server enhances accessibility and integration with other analysis tools.

Conclusions:

  • SeqCode addresses the need for standardized graphical data mining in sequencing analysis.
  • The software is a multipurpose instrument for high-throughput professional analysis.
  • SeqCode serves as a valuable open educational platform for the scientific community.