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Related Concept Videos

Genomics02:02

Genomics

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...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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.
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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Related Experiment Video

Updated: Jun 6, 2026

DamID-seq: Genome-wide Mapping of Protein-DNA Interactions by High Throughput Sequencing of Adenine-methylated DNA Fragments
09:14

DamID-seq: Genome-wide Mapping of Protein-DNA Interactions by High Throughput Sequencing of Adenine-methylated DNA Fragments

Published on: January 27, 2016

Damming the genomic data flood using a comprehensive analysis and storage data structure.

Marc Bouffard1, Michael S Phillips, Andrew M K Brown

  • 1Beaulieu-Saucier Université de Montréal Pharmacogenomics Centre, Université de Montréal, Quebec, Canada.

Database : the Journal of Biological Databases and Curation
|December 17, 2010
PubMed
Summary
This summary is machine-generated.

A novel database structure significantly reduces genomic data size and speeds up analysis. This approach optimizes genotype and phenotype data storage and processing, overcoming common bottlenecks in bioinformatics.

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Published on: October 5, 2018

Area of Science:

  • Bioinformatics
  • Genomics
  • Database Management

Background:

  • Genomic data generation is rapidly increasing, exceeding current analysis capabilities.
  • Existing data structures lead to large file sizes, slow processing, and high storage costs.
  • Current solutions focus on algorithms rather than fundamental data structure issues.

Purpose of the Study:

  • To develop a new data structure for efficient storage and analysis of genomic data.
  • To address limitations in handling large genotype and phenotype datasets.
  • To reduce data redundancy, processing times, and storage expenses.

Main Methods:

  • Developed a novel multi-table, multidimensional database structure.
  • Applied data normalization techniques and database management system capabilities.
  • Implemented horizontal data division to manage large genomic datasets.

Main Results:

  • Reduced dataset size by 86% due to decreased redundancy.
  • Achieved analytical calculation speeds 6248 times faster than standard methods.
  • Maintained data integrity without information loss.

Conclusions:

  • The novel database structure offers a significant improvement for genomic data analysis.
  • This approach effectively tackles challenges posed by large-scale genomic datasets.
  • Optimized data storage and analysis can accelerate genomic research and discovery.