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Related Experiment Video

Updated: Jun 3, 2026

Single Cell Multiplex Reverse Transcription Polymerase Chain Reaction After Patch-clamp

Single Cell Multiplex Reverse Transcription Polymerase Chain Reaction After Patch-clamp

Published on: June 20, 2018

Computer applications to molecular biology : DNA sequences.

R Harr¹, P Gustafsson

¹Institute of Cell and Molecular Biology, Umea University, Umea, Sweden.

Methods in Molecular Biology (Clifton, N.J.)

|March 23, 2011

Summary

Computers are essential for DNA sequencing laboratories, handling millions of base pairs and complex gene organization. The increasing volume of sequenced DNA highlights the critical role of computational tools in modern molecular biology.

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Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

Area of Science:

Molecular Biology
Bioinformatics
Computational Biology

Background:

DNA sequencing generates vast amounts of data.
The European Molecular Biology Laboratory (EMBL) Nucleotide Sequence Data Library has grown exponentially.
Gene organization, especially with interrupted genes, requires significant data handling.

Purpose of the Study:

To highlight the indispensable role of computers in DNA sequence analysis.
To underscore the computational demands of managing large-scale genomic data.
To illustrate the necessity of computational tools for understanding gene structure.

Main Methods:

Analysis of data growth in the EMBL Nucleotide Sequence Data Library.
Comparison of data volume between early and recent library releases.
Estimation of computational requirements based on gene size and complexity.

Main Results:

The EMBL library grew from 0.5 million base pairs in 1982 to nearly 10 million by 1987.
The number of entries in the EMBL library increased significantly over the same period.
Standard genes range from 500-1000 base pairs, with interrupted genes being much larger, necessitating computational management.

Conclusions:

Computers are a fundamental necessity for all DNA sequencing laboratories.
The rapid expansion of sequenced DNA necessitates advanced computational infrastructure.
Efficient management and analysis of genomic data are crucial for biological research.