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Scorial
Computational biology · learn it by doingSign inJoin the waitlist
Computational biology · learn it by doing

Bring your question. Learn to do the research. Leave with a paper.

Scorial teaches you to do computational biology research yourself. Bring a question you actually want to answer, learn the reasoning as you work through the analysis, and leave with a manuscript you wrote every word of — work you can stand behind.

Early access · built for students · no spam, ever

Act I · Learn to do the research

You don’t start with your question.
You start by learning how to ask one.

Act I is free, and it’s the same for everyone. This is the part that’s school. Nine skills, each a real stage of research, taught by doing on real published data. You learn how the whole arc works before any of it is yours.

  • Free
  • The same for everyone
  • This is the school part

Thinkingyou reason it through; the coach reviews your thinking and never replaces it.

Codeyou write Python in the browser, with no install, checked against a real computed result.

Volcano
PCA
UMAP
The figures you’ll learn to make and read.

  1. Form your question

    Thinking

    Turn a vague curiosity into one specific, testable question. That choice shapes everything after it.

  2. Review the literature

    Thinking

    Find what's already known, read it critically, and place your question where it actually stands.

  3. Find & extract your data

    Code

    Track down a real public dataset and pull it into a table you can actually work with.

  4. Clean & prepare

    Code

    Handle the mess real data arrives in: missing values, mismatched labels, the parts textbooks skip.

  5. Explore

    Code

    Look before you leap: summaries and first plots that tell you what you're actually holding.

  6. Analyze

    Code

    Run the real method, a differential-expression test, the way a working lab would.

  7. Interpret

    Thinking

    Say what the numbers mean and, just as important, what they don't.

  8. Visualize

    Code

    Build the figures that carry the finding, a volcano plot and a PCA, so a reader sees it at a glance.

  9. Write it up

    Thinking

    Put it in your own words: methods, results, and why they hold. This is the backbone of a paper.

The methods, done properly

You learn the analyses working labs actually run.

Actual experiments, not toy datasets

The data comes from published studies (via GEO), mess and all, so the skills you build transfer straight to real research, not just a textbook example engineered to be easy.

Methods, done properly

Differential expression, quality control, reading a volcano plot: the analyses labs actually run, learned the right way and checked against a computed result, so your work holds up.

Work you can stand behind

You finish with an analysis you understand end to end and can defend: every choice and every result, in your own words.

Act II · Then do your own

Then you do it for real, on a question that’s yours.

The same nine stages, this time on a question you chose. The coach guides you, questions your calls, and reviews your work like a supervisor, and never does any of it for you.

Any AI can hand you a paper. Scorial is built so the paper is yours. You wrote every word, and you can defend every line.

Guides

Points you at the next real decision without making it for you.

Questions

Pushes on every call (your comparison, your method, your threshold) until you can defend it.

Reviews

Reads your draft like a supervisor would, and hands it back for you to fix.

The same nine, this time for real

  1. Form your question
  2. Review the literature
  3. Find & extract your data
  4. Clean & prepare
  5. Explore
  6. Analyze
  7. Interpret
  8. Visualize
  9. Write it up

What you leave with

A complete analysis

A sound design, results that hold up, and an analysis you understand end to end, all on real public data.

A methods & results write-up

The backbone of a paper, in your own words: what you did, what you found, and why it holds.

The skill to do it again

The method itself, not just one finished analysis, so the next question is one you can take on yourself.

What you leave with is a manuscript draft you authored: a real first draft of real research, in your own words. It is not a publication, not peer review, not acceptance, and Scorial never pretends otherwise: what happens to your work out in the world is not ours to predict. What’s certain is the work itself. You did every part of it, and you can defend every line. The work is yours, and so is the credit.

Questions

The things you’re
actually wondering.

Straight answers to what a curious beginner asks before signing up.

A real, finished piece of research: an analysis you ran on real data, results you understand, and a methods-and-results write-up in your own words: the backbone of a paper you wrote yourself. Plus the skills to do the next one on your own.

That’s completely fine. Most people don’t. Scorial helps you find one you actually care about, then asks the questions that sharpen it into something you can test. Learning to ask a good question is the first thing you’ll learn.

No. Scorial meets you where you are and builds up from the basics. If you’ve never opened a terminal or written a line of Python, that’s fine. You’ll learn that too, one step at a time, as part of the work.

Yes. That’s exactly who it’s for. Aspiring researchers who want to learn how real computational biology is done, without needing a lab or a PhD advisor to hand-hold them. Ambitious beginners welcome.

You leave with a manuscript draft you wrote every word of: a real methods-and-results write-up of real research. Scorial helps you get the hard part right: a sound analysis you can defend. What you do with it next, and how the world receives it, is yours. We don’t predict it.

Real, concrete skills: find and vet a public dataset, set up a proper comparison, run a differential-expression analysis, read a volcano plot and a PCA, and explain what your results mean. These are the same things a first-year lab student learns, on real data.

It’s using data and code to answer biology questions, like figuring out which genes switch on when a cell is treated with a drug. It’s one of the most in-demand skills in modern science, and you can start learning it now, with no wet lab required.

Real. You work on public datasets with real methods, and your results are checked against the real computed result rather than a guess. Nothing here is a simulation.

Scorial is in early access. Join the waitlist and we’ll reach out as spots open. We’re building it for students, and we’ll share the details on access as we get closer.

Start your research

Ready to do research that’s actually yours?

Scorial is in early access for students who want to do real computational biology, from your own question to a paper you can stand behind. Join the waitlist and we’ll reach out as spots open.