Related Experiment Video
Updated: Feb 6, 2026

07:09
A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
Published on: May 28, 2021
10.5K
BTW-Bioinformatics Through Windows: an easy-to-install package to analyze marker gene data
Daniel Morais1, Luiz F W Roesch2, Marc Redmile-Gordon3
1Institute of Microbiology of the CAS, Prague, Czech Republic.
Peerj
|August 8, 2018
Summary
Bioinformatics Through Windows (BTW) simplifies microbial community analysis for Windows users. This package enables complex Next-Generation Sequencing data processing without requiring Linux or command-line expertise.
Area of Science:
- Microbiology
- Bioinformatics
- Computational Biology
Background:
- Next-Generation Sequencing (NGS) generates vast microbial community datasets.
- Analyzing these large datasets requires significant computational resources and often Linux expertise.
- Existing workflows necessitate migrating from Windows to Linux-based systems.
Purpose of the Study:
- To develop an automated, user-friendly pipeline for microbial metataxonomic analysis on Windows.
- To facilitate the use of NGS amplicon data for researchers without prior Linux or command-line experience.
- To enhance accessibility of bioinformatics tools for life sciences and medicine.
Main Methods:
- Developed Bioinformatics Through Windows (BTW), a package operating within the Windows Subsystem for Linux (WSL).
- Integrated open-access tools for processing marker gene data (e.g., 16S rRNA).
- Automated the pipeline from raw sequencing reads to diversity analysis, including quality filtering, clustering, and taxonomic assignment.
Main Results:
- BTW provides a complete, easy-to-install pipeline for microbial metataxonomic analysis.
- The package allows direct analysis within WSL, eliminating the need to switch operating systems.
- Facilitates access to Linux command-line tools for Windows users, enhancing bioinformatics accessibility.
Conclusions:
- BTW significantly lowers the barrier to entry for microbial community analysis using NGS data on Windows.
- The tool democratizes access to advanced bioinformatics capabilities for a broader research community.
- Increases the adoption and utility of NGS amplicon data in life sciences and medicine.
Related Concept Videos
DNA Packaging
112.8K
Overview
112.8K
Statistical Methods for Analyzing Epidemiological Data
982
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
982
Chromatin Packaging
19.3K
Each human somatic cell contains 6 billion base pairs of DNA. Each base pair is 0.34 nm long, meaning each diploid cell contains a staggering 2 meters of DNA. This long DNA strand is packed inside a nucleus measuring only 10-20 microns in diameter with the help of specialized DNA-binding proteins called histones. Together they form a compact DNA-protein complex called chromatin. The chromatin is further compacted into higher-order structures. The highest level of compaction is achieved during...
19.3K
Chromatin Packaging
22.2K
Each human somatic cell contains 6 billion base-pairs of DNA. Each base-pair is 0.34 nm long, which means that each diploid cell contains a staggering 2 meters of DNA. How is such a long DNA strand packed inside a nucleus measuring only 10 - 20 microns in diameter?
The chromatin
In combination with specialized DNA binding protein called Histones, the DNA double helix forms a compact DNA: protein complex called chromatin. The chromatin itself is further compacted into higher-order...
The chromatin
In combination with specialized DNA binding protein called Histones, the DNA double helix forms a compact DNA: protein complex called chromatin. The chromatin itself is further compacted into higher-order...
22.2K
Chromatin Packaging
9.8K
9.8K
Statistical Methods to Analyze Parametric Data: ANOVA
1.7K
Analysis of Variance, or ANOVA, is a powerful statistical technique used to analyze parametric data, primarily in research and experimental studies. It's designed to compare the means of two or more groups, assisting researchers in identifying any significant differences between these group means. There are two main types of ANOVA based on the complexity of the analysis: one-way and two-way.
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
1.7K

