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Related Concept Videos

Performing a Simple Data Analysis using MS-Excel Function01:17

Performing a Simple Data Analysis using MS-Excel Function

Microsoft Excel offers a suite of functions and tools ideal for statistical analysis, making it accessible to students and researchers. This article outlines fundamental Excel functions pivotal for data analysis.
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
Fixing Double-strand Breaks02:04

Fixing Double-strand Breaks

The double-stranded structure of DNA has two major advantages. First, it serves as a safe repository of genetic information where one strand serves as the back-up in case the other strand is damaged. Second, the double-helical structure can be wrapped around proteins called histones to form nucleosomes, which can then be tightly wound to form chromosomes. This way, DNA chains up to 2 inches long can be contained within microscopic structures in a cell. A double-stranded break not only damages...
Fixing Double-strand Breaks02:04

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The double-stranded structure of DNA has two major advantages. First, it serves as a safe repository of genetic information where one strand serves as the back-up in case the other strand is damaged. Second, the double-helical structure can be wrapped around proteins called histones to form nucleosomes, which can then be tightly wound to form chromosomes. This way, DNA chains up to 2 inches long can be contained within microscopic structures in a cell. A double-stranded break not only damages...
Overview of Microsoft Excel as a Data Analysis Tool01:13

Overview of Microsoft Excel as a Data Analysis Tool

Microsoft Excel is a cornerstone tool for data analysis and statistical operations, offering a wide array of functionalities to manage, analyze, and visualize data efficiently. Recognized for its versatility, Excel facilitates the performance of basic to complex statistical operations, serving as an indispensable asset for analysts, researchers, and students alike. Excel's significance in data analysis emanates from its spreadsheet environment, where data can be organized in rows and columns,...
Microsoft Excel: Student's t-Test01:25

Microsoft Excel: Student's t-Test

Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis.
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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...

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An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci
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BioWord: a sequence manipulation suite for Microsoft Word.

Laura J Anzaldi1, Daniel Muñoz-Fernández, Ivan Erill

  • 1Department of Biological Sciences, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA.

BMC Bioinformatics
|June 9, 2012
PubMed
Summary

BioWord is a new Microsoft Word template that integrates DNA and protein sequence manipulation tools. This bioinformatics software simplifies sequence analysis for biologists within a familiar interface.

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Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Computational Biology

Background:

  • Biological sequence manipulation is crucial for biologists.
  • Current tools are fragmented across multiple programs and web servers, requiring frequent application switching.
  • This fragmentation complicates routine sequence analysis tasks.

Purpose of the Study:

  • To develop an integrated solution for DNA and protein sequence manipulation.
  • To provide biologists with a user-friendly tool within a familiar software environment.
  • To streamline the process of sequence analysis for researchers and students.

Main Methods:

  • Developed BioWord, a macro-enabled, self-installing Microsoft Word template.
  • Integrated a comprehensive suite of DNA and protein sequence manipulation tools.
  • Utilized Visual Basic for Applications (VBA) for an open-source, object-oriented design.

Main Results:

  • BioWord installs with a single click and appears as a tab in the Office ribbon.
  • Offers tools for sequence manipulation, dyad search, consensus logos, motif discovery, and pair-wise alignment.
  • Provides an open-source platform for user customization and expansion.

Conclusions:

  • BioWord consolidates powerful sequence analysis tools into a user-friendly interface.
  • Facilitates customization through a simple scripting language and object-oriented design.
  • Serves as an accessible educational platform for teaching bioinformatics algorithms.