Related Experiment Video
Updated: Feb 4, 2026
10:19
Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project
Published on: April 8, 2017
18.1K
Data set for transcriptome analysis of Apocynum venetum L
Ping Chen1, Gang Gao1, Chunming Yu1
1Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha 410205, China.
Data in Brief
|October 2, 2018
Summary
This study presents the transcriptome profiles of *A. venetum* L. using RNA-Seq, identifying over 52,000 unigenes and 7,500 simple sequence repeats (SSRs) crucial for genetic research.
Area of Science:
- Plant genomics
- Transcriptomics
- Molecular biology
Background:
- Understanding the genetic makeup of *A. venetum* L. is essential for its utilization.
- Transcriptome analysis provides insights into gene expression and metabolic pathways.
Purpose of the Study:
- To generate and analyze the transcriptome profiles of *A. venetum* L.
- To identify unigenes and simple sequence repeats (SSRs) for future genetic studies.
Main Methods:
- RNA-Sequencing (RNA-Seq) was employed to obtain transcriptome data.
- Raw sequencing data was processed, and unigenes were assembled and annotated.
- Simple sequence repeats (SSRs) were identified within the unigenes.
Main Results:
- A total of 6.57 Gb of raw data yielded 52,983 unigenes.
- Unigenes were annotated to 7 databases, with significant clustering in KEGG categories like 'Global and overview maps' and 'Carbohydrate metabolism'.
- 7,579 SSRs were identified, with mono-, di-, and trinucleotide motifs being the most prevalent.
Conclusions:
- The study provides a comprehensive transcriptome dataset for *A. venetum* L.
- The identified unigenes and SSRs serve as valuable genetic resources for this species.
- This data facilitates further research into the genetic and metabolic characteristics of *A. venetum* L.
Related Concept Videos
01:09Design Example: Setting a Curve Using Design Data
239
Designing and plotting a curve using field data requires precise calculations and execution. A horizontal curve with a radius of 200 meters and an intersection angle of 20 degrees is established using the method of perpendicular offsets from the long chord. The long chord, which spans between the curve's endpoints, is calculated to be 69.46 meters in length. To maintain accuracy in plotting, intervals of 3 meters are selected along the chord.The engineer determines the offset distances for each...
239
01:12Analysis of Population Pharmacokinetic Data
756
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
756
01:13Overview of Microsoft Excel as a Data Analysis Tool
1.6K
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...
1.6K
01:17Performing a Simple Data Analysis using MS-Excel Function
1.1K
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...
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...
1.1K
01:12Statistical Software for Data Analysis and Clinical Trials
1.6K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.6K
01:12Setting Time of Cement
689
The setting time of cement refers to the process of cement paste transitioning from a plastic state to a solid state. This process is crucial in construction as it dictates the timeframe for concrete placement, compaction, and finishing. The onset of this solidification is termed the initial set, indicating when the paste becomes unworkable. The final set is when the paste has solidified completely, and further handling or manipulation can no longer affect its shape. The cement strength is...
689