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Related Concept Videos

Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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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...
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Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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Sequences01:29

Sequences

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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...
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Sanger Sequencing01:57

Sanger Sequencing

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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...
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Arithmetic Sequences01:30

Arithmetic Sequences

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An arithmetic sequence is a structured arrangement of numbers where each term is derived by adding a constant value, known as the common difference, to the previous term. This consistent pattern allows for the efficient computation of any term within the sequence as well as the cumulative sum of multiple terms. The formula for finding the nth term of an arithmetic sequence is:Here, aₙ represents the nth term of the sequence, a is the first term, d is the common difference, and n is the...
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pre-mRNA Processing02:01

pre-mRNA Processing

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In eukaryotic cells, transcripts made by RNA polymerase are modified and processed before exiting the nucleus. Unprocessed RNA is called precursor mRNA or pre-mRNA to distinguish it from mature mRNA.
Once about 20-40 ribonucleotides have been joined together by RNA polymerase, a group of enzymes adds a “cap” to the 5’ end of the growing transcript. In this process, a 5’ phosphate is replaced by modified guanosine that has a methyl group attached to it (7-Methyl...
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Related Experiment Video

Updated: Feb 4, 2026

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
07:21

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing

Published on: August 25, 2018

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Processing a 16S rRNA Sequencing Dataset with the Microbiome Helper Workflow.

Gavin M Douglas1, André M Comeau2, Morgan G I Langille3,4,5

  • 1Department of Microbiology and Immunology, Dalhousie University, Halifax, NS, Canada.

Methods in Molecular Biology (Clifton, N.J.)
|October 10, 2018
PubMed
Summary
This summary is machine-generated.

Researchers can now easily analyze microbial communities using a new bioinformatic pipeline for 16S rRNA sequencing data. This tool simplifies taxonomic profiling, making microbiome research more accessible.

Keywords:
16S rRNA geneAmplicon sequencingMicrobiome HelperStandard operating procedureTutorialVirtualBox image

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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
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Related Experiment Videos

Last Updated: Feb 4, 2026

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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Microbiome sequencing is a rapidly advancing and affordable technique for taxonomic profiling.
  • There is increasing interest in analyzing microbial sequencing data, drawing in new researchers.

Purpose of the Study:

  • To present a user-friendly bioinformatic pipeline for processing 16S rRNA sequencing data.
  • To streamline the analysis workflow for researchers new to microbiome data.

Main Methods:

  • Development of a straightforward bioinformatic pipeline.
  • Integration into the Microbiome Helper project.

Main Results:

  • A simplified workflow for 16S rRNA data processing.
  • The pipeline aims to reduce complexity for new users.

Conclusions:

  • The presented pipeline facilitates accessible microbiome data analysis.
  • This tool supports the growing community of microbiome researchers.