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Related Concept Videos

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...
Sanger Sequencing01:57

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...
RNA-seq03:21

RNA-seq

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 microarray-based...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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.
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.
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
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Related Experiment Video

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Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

Sequence Maneuverer: tool for sequence extraction from genomes.

Tayyaba Yasmin1, Inayat Ur Rehman, Adnan Ahmad Ansari

  • 1Department of Biosciences, COMSATS Institute of Information Technology, Islamabad, Pakistan.

Bioinformation
|January 1, 2013
PubMed
Summary
This summary is machine-generated.

A new Java-based software efficiently extracts genomic sequences of any length from large datasets. This tool overcomes limitations of existing sequence extraction methods, improving genome analysis capabilities.

Keywords:
AnnotationBioinformatics SoftwareBiology and GeneticsCoding tools and Techniques

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Genomic sequence analysis presents challenges due to large datasets.
  • Existing sequence extraction tools have limitations in flexibility and user-friendliness.

Purpose of the Study:

  • To develop a user-friendly Java-based software for efficient sequence extraction.
  • To overcome limitations of current genome analysis tools.

Main Methods:

  • Developed a Java-based software package with three independent/sequential modules.
  • The software is designed for efficient extraction of multiple sequences of desired lengths.
  • Tested and validated results against published data.

Main Results:

  • The software efficiently extracts sequences from large genomic datasets.
  • It supports extraction of multiple sequences with user-defined lengths from any organism.
  • Results were cross-checked with published data, confirming accuracy.

Conclusions:

  • The developed software provides an efficient and flexible solution for sequence extraction in genome analysis.
  • This tool enhances the capabilities of researchers working with large genomic datasets.