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Related Concept Videos

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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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.
Next-Generation Sequencing Methods
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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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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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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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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Proteomics01:33

Proteomics

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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.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Next-Generation Analytics for Omics Data.

Jun Li1, Hu Chen2, Yumeng Wang2

  • 1Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

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Summary
This summary is machine-generated.

Omics data analysis is challenging. DrBioRight, an AI platform, offers intuitive, efficient, and collaborative tools to maximize omics data utility for biomedical research.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • The exponential growth of omics data presents significant computational and analytical challenges for researchers.
  • Existing bioinformatics tools can be complex and inaccessible to the broader biomedical research community.

Purpose of the Study:

  • To introduce DrBioRight, a novel analytics platform designed to simplify omics data analysis.
  • To enable intuitive, efficient, transparent, and collaborative analysis of large-scale omics datasets.

Main Methods:

  • Utilizes natural language processing (NLP) and artificial intelligence (AI) for data interpretation.
  • Provides a user-friendly interface for researchers without extensive bioinformatics expertise.

Main Results:

  • DrBioRight facilitates easier access and analysis of omics data for a wider research audience.
  • The platform streamlines complex analytical workflows, enhancing research productivity.

Conclusions:

  • AI-driven platforms like DrBioRight are crucial for overcoming omics data informatics challenges.
  • Next-generation analytics will redefine biomedical research by maximizing the value of omics data.