Hey everyone!
It’s been 7 years since I first kicked off a discussion (Where and how NGS techniques are heading for the next 5 years?) on where next-generation sequencing (NGS) techniques were heading. Time flies! So, I thought it would be great to revisit this topic and explore how much has changed—and what’s on the horizon for the next 5 years.
Looking Back: From the rise of Oxford Nanopore to the advancements in other sequencing technologies, what have been the standout developments in the past few years? How have these changes impacted research and clinical applications?
Looking Forward: What do you think the future holds for sequencing methods? Are there any emerging technologies or innovative approaches that you think will reshape the field?
Computational Methods: On the computational side, how have programming languages and analysis tools evolved? While Python, R, and Shell are still popular, what new languages or frameworks should we keep an eye on? Any tips for budding bioinformaticians on what to learn next?
Let’s share our insights, experiences, and predictions! Feel free to keep it light—perhaps share a funny anecdote or an unexpected twist from your work with NGS.
Looking forward to hearing everyone’s thoughts!
Technically this is possible now. People likely do this though I don't have first hand experience yet.
I know its a technical possiblity. But people I know that do this say its still very much an experimental technique. You need to learn the skill. You can't, yet, just pick up the kit from the shelf and be confident its going to work, nor do any service providers I know provide it as a service.
What I'm looking forward to is when its a consumer product, rather than an expert technique.