Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Next-generation Sequencing

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....

Sanger Sequencing

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...

Maxam-Gilbert Sequencing

Maxam-Gilbert Sequencing

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...

Introduction To Survival Analysis

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...

Synteny and Evolution

Synteny and Evolution

John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...

Steps in Outbreak Investigation

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:

You might also read

Related Articles

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

Sort by

Same author

Sequence analysis for large databases.

Longitudinal and life course studies : international journal·2026

Same author

Young adult life courses in the Global South: A comparative framework and research agenda.

Advances in life course research·2025

Same author

Amplification of the power of network hubs and degree skewness over infectious disease spread during lulls.

PloS one·2025

Same author

A core outcome set for airway management research.

Anaesthesia·2025

Same author

Social differentials in the partnership trajectories of childless women in India.

Longitudinal and life course studies : international journal·2025

Same author

Can cognitive reserve offset APOE-related Alzheimer's risk? A systematic review.

Ageing research reviews·2025

Search research articles

Related Experiment Video

Updated: Aug 29, 2025

Microbial Communities in Nature and Laboratory - Interview

Microbial Communities in Nature and Laboratory - Interview

Published on: May 28, 2007

Sequence analysis: Its past, present, and future.

Tim F Liao¹, Danilo Bolano², Christian Brzinsky-Fay³

¹University of Illinois at Urbana-Champaign, IL, USA.

Social Science Research

|September 4, 2022

Summary

Sequence analysis (SA) has significantly advanced in social sciences over four decades, particularly in life course research. Future directions involve enhancing SA

Keywords:

Life course research Methodological review Methodology Quantitative methodology Sequence analysis

More Related Videos

Perspectives on Neuroscience

Perspectives on Neuroscience

Published on: July 31, 2007

Metagenomic Analysis of Silage

Metagenomic Analysis of Silage

Published on: January 13, 2017

Related Experiment Videos

Last Updated: Aug 29, 2025

Microbial Communities in Nature and Laboratory - Interview

Microbial Communities in Nature and Laboratory - Interview

Published on: May 28, 2007

Perspectives on Neuroscience

Perspectives on Neuroscience

Published on: July 31, 2007

Metagenomic Analysis of Silage

Metagenomic Analysis of Silage

Published on: January 13, 2017

Area of Science:

Social Sciences
Quantitative Methods
Life Course Research

Background:

Sequence analysis (SA) was introduced to the social sciences four decades ago.
SA's application, especially in life course research, has grown substantially in the last 15 years.
This article uses a life course analogy to trace the development of SA.

Purpose of the Study:

To reflect on the progress of sequence analysis (SA) in the social sciences.
To review methodological developments and historical contexts of SA.
To explore future directions and challenges for SA in theory-making.

Main Methods:

Historical review of SA development and applications in social sciences.
Comprehensive summary of methodological advancements: visualization, complexity/dissimilarity measures, cluster analysis, multidomain/multichannel SA, dyadic/polyadic SA, Markov chain SA, sequence life course analysis, and sequence network analysis.
Discussion of SA software and its use in diverse social science research.

Main Results:

Detailed account of SA's evolution from its 'birth' to 'adolescence' in social science research.
Extensive cataloging of methodological innovations and their applications.
Identification of current research trends and software tools supporting SA.

Conclusions:

SA has matured significantly, with numerous methodological developments enhancing its utility.
Future directions focus on integrating SA with theory-making and addressing existing challenges.
Encourages further research to advance SA into its 'mature adulthood'.