Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.7K
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...
6.7K
Next-generation Sequencing03:00

Next-generation Sequencing

97.1K
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....
97.1K
RNA-seq03:21

RNA-seq

11.5K
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...
11.5K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

20.2K
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.
20.2K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.8K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
7.8K
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

12.3K
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.
Challenges of the Maxam-Gilbert Method
The...
12.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

keju: powerful and accurate inference in Massively Parallel Reporter Assays.

bioRxiv : the preprint server for biology·2026
Same author

CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation.

Proceedings of machine learning research·2026
Same author

A biobank-scale method for learning modulators of gene-environment interaction underlying human complex traits from multiple environmental exposures.

bioRxiv : the preprint server for biology·2026
Same author

Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models.

Proceedings of machine learning research·2026
Same author

Choice of phenotype scale is critical in biobank-based G×E tests.

bioRxiv : the preprint server for biology·2026
Same author

Leveraging ancestral recombination graphs for scalable mixed-model analysis of complex traits.

Cell genomics·2025
Same journal

Temporal trajectories underlying adult neuronal diversity.

Current opinion in genetics & development·2026
Same journal

Transcription regulation of cell fate plasticity - from embryonic development to tissue regeneration.

Current opinion in genetics & development·2026
Same journal

Shared molecular and cellular programs during regeneration of glandular epithelia.

Current opinion in genetics & development·2026
Same journal

Lineage tracing in human cortical development.

Current opinion in genetics & development·2026
Same journal

Cis-regulatory strategies in developmental patterning.

Current opinion in genetics & development·2026
Same journal

GABAergic neuron fate specification and lineage allocation: from development to disorder.

Current opinion in genetics & development·2026
See all related articles

Related Experiment Video

Updated: Dec 13, 2025

Amplification, Next-generation Sequencing, and Genomic DNA Mapping of Retroviral Integration Sites
09:31

Amplification, Next-generation Sequencing, and Genomic DNA Mapping of Retroviral Integration Sites

Published on: March 22, 2016

18.2K

Methods for detecting introgressed archaic sequences.

Sriram Sankararaman1

  • 1Department of Computer Science, University of California, Los Angeles, CA 90095, United States; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States; Department of Computational Medicine, University of California, Los Angeles, CA 90095, United States.

Current Opinion in Genetics & Development
|July 28, 2020
PubMed
Summary
This summary is machine-generated.

Genome analysis reveals admixture between ancient and modern humans. Statistical methods help pinpoint introgressed DNA segments, advancing our understanding of recent human evolution.

More Related Videos

Primer Extension Capture: Targeted Sequence Retrieval from Heavily Degraded DNA Sources
15:28

Primer Extension Capture: Targeted Sequence Retrieval from Heavily Degraded DNA Sources

Published on: September 3, 2009

20.6K
Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

9.0K

Related Experiment Videos

Last Updated: Dec 13, 2025

Amplification, Next-generation Sequencing, and Genomic DNA Mapping of Retroviral Integration Sites
09:31

Amplification, Next-generation Sequencing, and Genomic DNA Mapping of Retroviral Integration Sites

Published on: March 22, 2016

18.2K
Primer Extension Capture: Targeted Sequence Retrieval from Heavily Degraded DNA Sources
15:28

Primer Extension Capture: Targeted Sequence Retrieval from Heavily Degraded DNA Sources

Published on: September 3, 2009

20.6K
Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

9.0K

Area of Science:

  • Genomics
  • Human Evolution
  • Population Genetics

Background:

  • Genome sequencing of archaic and modern humans has uncovered numerous admixture events between distinct populations.
  • These admixture events provide insights into the complex history of human migration and interbreeding.

Purpose of the Study:

  • To review recent advancements in statistical methodologies for identifying introgressed DNA sequences.
  • To highlight the utility of these methods in studying recent human evolution.

Main Methods:

  • Review of statistical approaches for detecting DNA segments originating from admixture events.
  • Analysis of existing literature on methods for identifying introgressed sequences in genomic data.

Main Results:

  • Identification of various statistical techniques capable of localizing introgressed DNA segments.
  • Demonstration of the effectiveness of these methods in the context of human evolutionary studies.

Conclusions:

  • Statistical methods for detecting introgressed sequences are crucial tools for understanding human evolutionary history.
  • Continued development in these methods will further illuminate the patterns of admixture in human populations.