1. Services
2. RNA-Seq Data Analysis Training with Real Data

For those who want to learn RNA-Seq data analysis online using real datasets.

This one-on-one online training is designed to help you develop the ability to observe, judge, and interpret real data while using Subio Platform and its Plug-ins.

The training is suitable not only for those who wish to analyze their own experimental data, but also for those who want to learn RNA-Seq analysis using public datasets such as GEO.

Develop real analytical skills for working with real data

Many RNA-Seq and microarray training courses use carefully prepared datasets that are unlikely to cause problems, and proceed according to a fixed workflow.

However, real research data often comes with various challenges: noisy signals, complex sample conditions, and results that do not appear as expected.

As a result, simply applying the procedures learned in a standard course is often not enough.

In this training, you will learn how to work with the specific challenges of real data. You will examine the state of the data, consider an analysis strategy based on the research objective, apply various analysis methods, and interpret the results.

What truly matters in RNA-Seq and omics data analysis is not simply memorizing a fixed workflow.

It is the ability to look at real data and make appropriate decisions based on its condition.

• Accurately understanding the unique characteristics of each dataset
• Flexibly selecting and applying analysis methods according to the data
• Repeating visual inspection and trial-and-error until the results make sense

This training is a practical, hands-on program using Subio Platform and its Plug-ins.

You will work with data that you actually want to analyze, such as your own experimental data or public datasets obtained from databases such as GEO.

While looking at the actual analysis screen, we will consider the analysis strategy together.

Rather than simply learning how to operate the software, you will learn through trial and error with an expert:

• How to diagnose noise and bias specific to the dataset
• Which analysis method should be selected
• Why that method should be selected
• How to check and interpret the results

Through this process, you will develop practical analytical skills for making full use of the Plug-ins with real data.

• Data import, preprocessing, and normalization
  Build a reliable foundation for analysis.
• Visualization and data interpretation
  Learn how to read the characteristics of the data.
• Filtering and statistical analysis
  Select an appropriate analysis strategy according to the state of the data.
• Clustering, GO analysis, and pathway analysis
  Add biological meaning to statistical analysis results.
• Applied analysis
  Use public datasets, connect with external tools, and compare multiple datasets.

This training does not follow a predefined workflow mechanically. Instead, we decide the analysis strategy on the spot according to the condition of the real data.

Which tool should be used?
Why should this method be selected?

By thinking through these decisions together and repeating trial and error, you will gain practical insights that cannot be learned from textbooks alone.

Note: Importing FASTQ or BAM files is not covered in this training.
If you need support starting from FASTQ preprocessing, please use our Troubleshooting on FASTQ Processing Service.

Omics data analysis cannot be mastered in a single training session.

To develop real analytical skills, it is necessary to attend multiple training sessions and gain experience with multiple datasets.

As a rough guideline, taking 3 to 6 sessions over the course of about one year and working on around 10 datasets will help you develop the ability to recognize differences between datasets and proceed with analysis based on your own judgment.

By working with different datasets and repeating trial and error, you can move from simply “knowing the procedure” to being able to “make decisions according to the data.”

Even after gaining experience, you may still face situations where judgment is difficult, such as new data types or complex experimental designs. In such cases, please do not struggle alone. You can also take spot training sessions as needed.

This training is a practical learning opportunity for using the Plug-ins more effectively.

This is not a one-time software operation course. It is one-on-one support designed to help you continuously improve your analytical skills while working with real data.

From “knowing the procedure” to “making decisions according to the data”

Master Analysis, Not the Tool.

• The training is only for plug-in purchasers. Please take it within 30 days or one year from the plug-in purchase according to the license period. After that, your eligibility for the training will also expire.
• Make sure in advance that you can participate in the web conference from a computer with a Subio Platform installed.
• The training time is up to three hours, including breaks.
• The maximum number of participants is three.
• You can record it for later review.

To get started, please use the “Get a free consultation” button at the bottom of this page to tell us about the data you would like to analyze and what you would like to learn or discuss. After reviewing your message, we will get back to you.

For many researchers, it is not easy to handle every step of the analysis from the beginning. If you first want to obtain analysis results and deepen your understanding through review and interpretation, using our Data Analysis Service is an effective option.

On the other hand, if you want to go one step further and become able to make your own decisions throughout the process, from preprocessing to analysis and interpretation, we recommend this online training.

If you are not sure which option is suitable for you, please feel free to contact us. We will suggest an appropriate approach based on your objective and the state of your data.