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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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Proteomics01:33

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
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RNA-seq03:21

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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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Genomics02:02

Genomics

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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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Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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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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Maxam-Gilbert Sequencing01:05

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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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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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Next Generation Sequencing Data and Proteogenomics.

Kelly V Ruggles1,2, David Fenyö3,4

  • 1Department of Medicine, New York University Medical Center, 550 First Avenue, New York, NY, 10016, USA.

Advances in Experimental Medicine and Biology
|October 1, 2016
PubMed
Summary
This summary is machine-generated.

Proteogenomics combines rapid next-generation sequencing (NGS) with high-throughput proteomics. This integration enhances gene and protein understanding for comprehensive biological insights.

Keywords:
BioinformaticsGene annotationNext generation sequencingPeptide identificationProteogenomic integration

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Area of Science:

  • Proteogenomics
  • Genomics
  • Proteomics
  • Bioinformatics

Background:

  • Advances in next-generation sequencing (NGS) and proteomic technologies are key drivers.
  • NGS is now rapid and affordable, enabling clinical and academic research applications.
  • High-throughput proteomics methods have improved coverage depth and analysis speed.

Purpose of the Study:

  • To highlight the synergistic advancements in sequencing and proteomics.
  • To emphasize the role of bioinformatics in integrating multi-omics data.
  • To underscore the impact on gene and protein annotation and biological understanding.

Main Methods:

  • Integration of next-generation sequencing (NGS) data.
  • Application of high-throughput proteomic methods.
  • Utilizing continuously evolving bioinformatics approaches.

Main Results:

  • Enhanced gene and protein annotation.
  • Increased depth of proteomic coverage.
  • Accelerated analysis in proteomic studies.

Conclusions:

  • The convergence of NGS and proteomics, powered by bioinformatics, offers a more complete view of biological systems.
  • Proteogenomics facilitates deeper understanding and improved annotation of genetic and protein information.
  • This integrated approach is crucial for advancing biological research and clinical applications.