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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...
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...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
Next-generation Sequencing03:00

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.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...

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Related Experiment Video

Updated: Jun 19, 2026

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

An overview of recent developments in genomics and associated statistical methods.

Peter J Bickel1, James B Brown, Haiyan Huang

  • 1Department of Statistics University of California, Berkeley, CA, USA.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|October 7, 2009
PubMed
Summary

Modern genomics focuses on biological function, driven by cheaper sequencing and advanced assays. Integrative analyses combine data for complex conclusions, highlighting the need for new statistical methods to address current analytical challenges.

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Last Updated: Jun 19, 2026

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

Area of Science:

  • Genomics
  • Computational Biology
  • Statistical Science

Background:

  • Genomics has rapidly evolved, shifting from DNA sequencing to functional studies.
  • Advances in assays and public databases enable complex, integrative analyses.
  • A workshop on 'High dimensional statistics in biology' highlighted these advancements.

Purpose of the Study:

  • To provide an overview of modern genomics, covering data generation to inference.
  • To discuss computational and statistical methods used in contemporary biological research.
  • To identify current analytical challenges and areas needing novel methodological development.

Main Methods:

  • Review of essential assays for biological data generation.
  • Discussion of statistical and computational methods for biological inference.
  • Integration of information from public databases for complex analyses.

Main Results:

  • Genomics now emphasizes biological function over mere sequence acquisition.
  • Integrative analyses combining diverse data sources are crucial for complex conclusions.
  • Significant progress has been made in computational and statistical methodologies.

Conclusions:

  • Modern genomics relies on sophisticated assays and advanced statistical methods.
  • There is an ongoing need for novel analytical approaches to tackle complex biological questions.
  • The field is poised for further breakthroughs with continued methodological innovation.