This course, Foundations of RNA-Seq: From Concepts to Analysis by Md Anwarul Karim (Mijan) bhai, was extremely helpful for me. I had tried learning RNA-seq before using command-line tools, but since I had no coding experience, especially in the terminal, I found it intimidating, and I quit. It was not necessarily difficult, but everything was new, and coding can be overwhelming for a beginner.

What made this course different was that it did not require coding. Mijan Bhai taught the complete RNA-seq workflow, mainly using the Galaxy platform, along with several useful online tools.

The course was very well organized. Having completed my PhD in the U.S., I have taken many graduate courses and used platforms such as Blackboard, Moodle, Canvas, and LON-CAPA. Mijan Bhai used Moodle very effectively to organize all the course materials in one place. For each topic, he included relevant YouTube videos for conceptual understanding, concise notes, recorded practical sessions, and weekly online classes. The practical videos and online classes were particularly useful because he explained each step in detail, including the tools, parameters, input and output files, how to interpret the results, and which files to use for the next step. We could then reproduce the same analysis ourselves, which made the learning process very practical.

I think this is an excellent course for beginners, especially those who are interested in RNA-seq but feel intimidated by coding. It provides a complete understanding of the workflow—from basic concepts and raw sequencing data to differential expression and downstream analysis—in an accessible and hands-on way.

I found Mijan Bhai as a teacher very knowledgeable, sincere, passionate, dedicated, and professional. He was very generous in sharing his knowledge and put a lot of effort into making sure the participants understood both the concepts and the practical analysis and reproduced the results. I would highly recommend this course to anyone who wants to build a strong foundation in RNA-seq analysis.

This course is simply on another level compared to anything else online! Honestly, I don’t think you could find a more comprehensive course on Molecular Biology and NGS analysis with this much depth, not just in Bengali, but even in English.

I was actively looking for an online RNA-seq course when I saw a Facebook post from Dr. Md Anwarul Karim vaiya. I’d been following him for a long time, so I already knew how well he teaches and breaks down complex concepts. I enrolled without a second thought, and I couldn’t be happier with that decision!

Anwarul vaiya is an exceptional instructor. The course organization is amazing, seamlessly taking you from the basics of fundamental Molecular Biology all the way to advanced RNA sequencing. The best part? It’s perfect for anyone who wants to learn the ins and outs of RNA-seq but is afraid of coding. If you need to do RNA sequencing analysis on a daily basis but feel limited by your coding skills, this is the perfect opportunity to upskil.

The self-paced videos and quizzes on the Moodle platform were incredibly helpful for grasping the core concepts so I could actually apply them to my own data. I highly recommend this to anyone wanting to master RNA sequencing analysis!

Being an MBBS 4th-year student, I have always been more familiar with clinical subjects than computational analysis. I joined this RNA-seq course because I wanted to understand how modern biological data can be translated into meaningful research findings. I had some prior exposure to RNA-seq, but I wanted to move beyond simply following a workflow and actually understand how the analysis works.

The course gave me a completely different perspective on bioinformatics. I learned how raw sequencing data gradually turns into biologically meaningful information through different stages of analysis. Working with an actual published dataset and reproducing the analysis was one of the most interesting parts for me because it showed how computational methods can answer real biological questions.

I particularly enjoyed the practical aspect of the course. Using Galaxy allowed me to explore different steps of RNA-seq analysis in a much more manageable way, while the explanations helped me understand the reasoning behind the results. The course also encouraged me to look at genes and pathways from a biological perspective rather than treating the output simply as tables and numbers.

Dr. Mijan’s guidance made the learning experience even better. His explanations were easy to follow, and his willingness to discuss questions made it comfortable to learn something that was completely different from the usual medical curriculum.

This course has encouraged me to explore the intersection of medicine, biology, and computational research. I believe the skills I gained here will be useful not only for understanding RNA-seq but also for developing a stronger research mindset as a medical student. Overall, it was a very valuable learning experience, and I would recommend it to medical and life-science students who are curious about entering the world of computational biology.

It’s a really well-organized course, and it helped me a lot to understand and learn RNA-seq data analysis. As a beginner, especially in a new field like bioinformatics, it has been very helpful.

In this course, I learned how to analyze RNA-seq data without coding, which is truly impressive. I also want to mention an important point: after each live session, we got practical tasks from the course instructor that helped me catch up and remember the lecture content. After finishing, we shared the updates in Moodle as well as the WhatsApp group and discussed further if anyone faced difficulties.

Overall, it’s really amazing. I believe the skills I learned from the course will definitely help me in my future research as a molecular biologist. Now I already have experience making a volcano plot, PCA plot, and heatmap.

Thank you very much to the course instructor, Dr. Md Anwarul Karim.

Coming from a medical and public health background, I had very little experience with bioinformatics. Although I had previously worked with RNA-seq data using Unix-based pipelines, I frequently found the computational aspect challenging and struggled to fully comprehend what was happening at each stage of the analysis. This course helped bridge that gap. The lectures were clear, well-organized, and explained not only how to perform the analysis, but also why each step was important. The hands-on Galaxy sessions made RNA-seq analysis much more approachable and allowed me to work with real datasets without feeling overwhelmed by coding. I especially appreciated how patient and encouraging Dr. Karim was, always taking the time to answer questions and explain concepts in simple language. By the end of the course, I felt much more confident interpreting RNA-seq results and applying what I learned directly to my own research. I would highly recommend this course to anyone who wants to develop a solid foundation in RNA-seq analysis. This course is especially beneficial for those with backgrounds in biology or medicine.

As a DVM student, whenever I studied any disease diagnosis in my course curriculum, the term “RNA-Seq” frequently appeared in the context of molecular-level diagnostics and so on. Yet, I never got a chance to learn how the entire process is carried out. However, when I attempted to learn it on my own, “coding” proved to be a major hurdle. In that situation, this course came to my rescue.

Although I felt a bit apprehensive at first, the fear gradually vanished once I started the course. The way Mijan sir explained every topic in the live classes was truly outstanding. He used to clarify all the concepts so easily through question-and-answer interactions in every live class. After the live sessions, when I conducted the practical exercises on my own, I was able to understand each concept and step with great ease. Even when I discussed practical issues with Mijan sir, he provided the correct solutions to every problem with patience, which is truly praiseworthy.

This course greatly helped me clearly understand every step of RNA-Seq analysis, from raw data processing to differential gene expression analysis, PCA plot, Volcano plot, heatmap, and GSEA. I can confidently say that upon completing this course, I have almost gained proficiency in RNA-Seq data analysis.

After completing this course, my interest in computational biology has grown significantly. I believe this course will pave the way for future research opportunities for me. So, for those with backgrounds in DVM, medicine, or life sciences, this course could be a golden opportunity to learn from the basic to advanced level.

Again, I want to thank my instructor, Dr. Md Anwarul Karim (Mijan) sir, for giving me this opportunity.

I really enjoyed this course and found it very useful for understanding bulk RNA sequencing and data analysis. The course provided a clear and practical overview of the RNA-seq workflow, and the hands-on practical videos were especially helpful in understanding how to analyze and interpret sequencing data. I also appreciated the way the instructor explained complex concepts and was always available to answer questions. Overall, this was a very informative and valuable course, and I am very satisfied with my learning experience.

The course provided excellent hands-on exposure to RNA-seq data analysis and helped me develop a stronger understanding of RNA-Seq data analysis workflows. The opportunity to work with real data and present the analysis and findings as part of the final presentation made the learning experience particularly meaningful.

I’m especially grateful to my instructor for his guidance, support, and valuable insights throughout the course. His instruction made complex concepts easier to understand and encouraged me to explore the field of bioinformatics and computational biology more deeply.

I would highly recommend this course to anyone interested in RNA-seq analysis,transcriptomics, bioinformatics, or computational biology, particularly those looking to gain practical experience alongside theoretical knowledge.

From the basics to the advanced topics, I learned a lot from this course. Every module introduced me to new concepts, and each one was explained in a very simple and easy-to-understand way. I believe that even someone without a biology background would be able to understand the instructor’s lectures. Overall, it was an excellent learning experience.

I’d first like to start with our trainer, Dr. Mijan Sir. His lectures went beyond analysis and delved deeper into the biological explanations and reasoning behind RNA-seq and its data analysis. Which is why reproducing RNA-seq data analysis and handling the multitude of files being generated at each step did not feel overwhelming. He made sure we understood not only the computational part but also the biology behind it all. Secondly, the curated videos were a lifesaver, as we could keep referring back to them any time we felt stuck. The MCQs and topic-end questions helped summarize what we learned in each module, and I was able to check my own progress. Throughout the whole course, no question, silly or complicated, was left unanswered, and Sir would personally attend to our problems. We were assisted with full support, and our basics were built from the ground up.

This course is an amazing stepping stone for beginners like me. For graduate students and postdocs, it is a great place to learn together, share knowledge, collaborate, and also fill up the gaps in their research! The course being taught is extremely relevant, given the current context, and also (to my knowledge) the first of its kind in Bangladesh for Bangladeshi scientists and students. I am grateful for the guidance and inspiration.

My journey with this course was truly amazing, as it introduced me to a new world of possibilities that could become a new area of research. As someone with a pharmaceutical background, it expanded my limited knowledge of next-generation sequencing, RNA-Seq data analysis, and molecular biology. The course was both advanced and beginner-friendly because it had all the necessary fundamentals that anyone can easily grasp. Also, the instructor’s interactive live sessions with the highly intellectual participants made it deeply informative.

The recorded live sessions and practical and concept videos on Moodle made it convenient for me to complete and review the whole course, as I am a job holder with little free time.

As an instructor, Dr. Anwarul Karim Mijan vai was incredible. I have never seen a more encouraging teacher in any other course. His way of teaching, engaging in in-depth discussion, going above and beyond to help someone when needed, and pushing the participants to cross the finish line and more made him and this course exceptionally amazing.

I am really thankful for his hard work and effort, and I hope to carry this knowledge with me into the next chapter of my life.

This course provided an exceptionally rigorous and comprehensive foundation in RNA sequencing methodologies, spanning experimental design, library preparation, and complex bioinformatic pipelines for transcriptomic analysis. The practical emphasis on differential expression, transcript assembly, and quality control metrics significantly elevated my computational literacy and research efficiency in handling high-throughput genomic data.

I extend my sincere gratitude to the course instructor Dr. Karim, whose exemplary guidance, deep subject matter expertise, and structured mentorship were instrumental in demystifying the transcriptomic data analysis pipeline. His dedicated support fostered an intellectually stimulating learning environment that profoundly enhanced my academic and professional development in computational biology.