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Related Concept Videos

The Squeeze Theorem01:30

The Squeeze Theorem

Certain mathematical functions exhibit unpredictable or highly variable behavior near specific input values, making direct evaluation of their limits challenging. This complexity may arise from rapid oscillations or irregular patterns that obscure the function’s trend. In such cases, the Squeeze Theorem offers a reliable method for determining limits.According to the Squeeze Theorem, if a function is confined between two other functions near a particular point, and both outer functions approach...
Maxam-Gilbert Sequencing01:05

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...
Sequences01:29

Sequences

Sequences are fundamental mathematical objects consisting of ordered lists of numbers that follow a specific rule or pattern. Sequences are critical in various mathematical concepts, including calculus, series, and number theory. They can model real-world phenomena such as population growth, financial investments, and physical processes like the diminishing height of a bouncing ball.Each number in a sequence is referred to as a term. Typically, the terms are denoted as a1, a2, a3,…, where the...
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
Geometric Sequences01:30

Geometric Sequences

In systems where values diminish by a constant proportion at each stage, the resulting sequence follows a geometric structure. Each new value in the sequence is obtained by applying a fixed multiplier to the preceding term. This regular, proportional decline type is often used to represent processes involving gradual loss, such as energy dissipation or reduction in amplitude over time.When analyzing the total effect of such a process across unlimited iterations, the series of values is referred...
Competition02:34

Competition

When organisms require the same limited resources within an environment, they may have to compete for them. Competition is a net-negative interaction. Even if two competing individuals or populations do not interact directly, the overall fitness of both competitors is lowered as a result of not having full access to the limited resource.

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Related Experiment Video

Updated: May 12, 2026

Introductory Analysis and Validation of CUT&RUN Sequencing Data
04:58

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

Sequence squeeze: an open contest for sequence compression.

Richard Cg Holland1, Nick Lynch

  • 1Eagle Genomics Ltd, Babraham Research Campus, Cambridge, CB22 3AT, UK. richard.holland@eaglegenomics.com.

Gigascience
|April 20, 2013
PubMed
Summary

Next-generation sequencing generates massive data, straining storage and transfer. An open innovation contest spurred novel algorithms to improve data compression for genomics.

Area of Science:

  • Genomics and Bioinformatics
  • Computational Biology

Background:

  • Next-generation sequencing (NGS) technologies generate unprecedented volumes of biological data.
  • Existing data compression methods struggle to efficiently handle the scale of NGS data, posing challenges for storage and inter-organizational transfer.

Discussion:

  • The Pistoia Alliance initiated an open innovation contest to address the limitations of current data compression techniques for genomic data.
  • The contest fostered a dynamic and interactive environment, encouraging participants to develop innovative solutions.

Key Insights:

  • Novel algorithms for compressing large-scale genomic datasets were developed through the contest.
  • The competitive and collaborative nature of the contest drove significant advancements in data compression efficiency.

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BEST: Barcode Enabled Sequencing of Tetrads
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BEST: Barcode Enabled Sequencing of Tetrads

Published on: May 1, 2014

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
16:02

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Published on: February 10, 2023

Related Experiment Videos

Last Updated: May 12, 2026

Introductory Analysis and Validation of CUT&RUN Sequencing Data
04:58

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

BEST: Barcode Enabled Sequencing of Tetrads
12:59

BEST: Barcode Enabled Sequencing of Tetrads

Published on: May 1, 2014

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
16:02

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Published on: February 10, 2023

Outlook:

  • Further development and implementation of these novel algorithms could revolutionize genomic data management.
  • Improved compression will facilitate broader collaboration and accessibility in genomics research.