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Related Concept Videos

Sample Preparation for Analysis: Advanced Techniques01:08

Sample Preparation for Analysis: Advanced Techniques

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Accurate analysis of complex samples often requires advanced preparation techniques to achieve reliable and reproducible results. Samples containing inorganic or organic materials can be challenging to dissolve or decompose effectively. Standard sample preparation methods include acid digestion, fusion, dry ashing, and wet digestion.
Acid digestion with strong acids is commonly used to dissolve inorganic materials that are insoluble (do not dissolve) in water. This method can be useful for...
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RNA-seq03:21

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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...
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Extraction: Advanced Methods00:56

Extraction: Advanced Methods

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Overview of Advanced Functional Groups02:22

Overview of Advanced Functional Groups

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Functional groups are groups of atoms with specific chemical properties that occur within organic molecules and are sometimes denoted as “R”. Functional groups can “functionalize” a compound by enabling it to adopt different physical and chemical properties.
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Cardiopulmonary Resuscitation V: Advanced Airway Management Techniques01:30

Cardiopulmonary Resuscitation V: Advanced Airway Management Techniques

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Airway management is essential in emergency and surgical medicine, ensuring ventilation and oxygenation in patients who cannot maintain their own airway. Clinicians use a range of techniques and devices to secure the airway, depending on the patient’s condition and the clinical context. Key methods include endotracheal intubation, rapid sequence intubation (RSI), supraglottic airway devices, and advanced visualization aids. In cases where these approaches fail, surgical airway...
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Qualitative Analysis03:46

Qualitative Analysis

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For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
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Updated: Jan 22, 2026

RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells
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Shiny-Seq: advanced guided transcriptome analysis.

Zenitha Sundararajan1, Rainer Knoll1, Peter Hombach1

  • 1Genomics and Immunoregulation, LIMES Institute, University of Bonn, Carl-Troll-Str. 31, 53113, Bonn, Germany.

BMC Research Notes
|July 20, 2019
PubMed
Summary
This summary is machine-generated.

Shiny-Seq offers a user-friendly platform for comprehensive RNA-Seq data analysis, integrating advanced features like batch effect removal and network analysis for broader accessibility. This tool simplifies complex genomic data interpretation for researchers without extensive programming skills.

Keywords:
AnalysisAutomated reportBioinformaticsCo-expression network analysisDeSeq2Functional predictionLimmaPipelineRNA-SeqShiny

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • RNA-Seq data analysis typically involves complex tools and algorithms, often requiring R programming expertise.
  • Existing advanced analysis pipelines may lack essential features or demand significant programming skills.
  • A need exists for an accessible, guided platform for comprehensive RNA-Seq data analysis.

Purpose of the Study:

  • To present Shiny-Seq, an integrated, user-friendly platform for comprehensive RNA-Seq data analysis.
  • To provide a guided workflow that incorporates state-of-the-art analysis methods.
  • To enhance accessibility of advanced RNA-Seq analysis for a wider user base.

Main Methods:

  • Development of Shiny-Seq, a web-based application using the R Shiny framework.
  • Integration of features including batch effect estimation/removal, quality control visualizations, and enrichment analysis.
  • Incorporation of advanced pattern identification methods like weighted gene co-expression network analysis.
  • Implementation of one-click summarization into PowerPoint presentations and tabular data export.

Main Results:

  • Shiny-Seq provides a guided, easy-to-use pipeline for comprehensive RNA-Seq analysis.
  • The platform includes features for batch effect correction, quality checks, and enrichment analysis.
  • Advanced analyses such as weighted gene co-expression network analysis are integrated.
  • Results can be summarized into presentations and tables with a single click.

Conclusions:

  • Shiny-Seq democratizes advanced RNA-Seq data analysis by offering an intuitive interface.
  • The platform supports a wide range of features, from quality control to complex network analysis.
  • Accessible via GitHub, a public website, and Docker, Shiny-Seq promotes broader adoption in genomic research.