Computational Biology & Scientific Communication

Turning complex biological data into results you can stand behind.

Cortessa helps researchers, labs, and early-stage biotech teams analyze data, communicate findings clearly, and present their work credibly online — backed by published research and open-source tools with real usage.

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We don't sell templates or generic execution. We sell judgment — the difference between an analysis that looks right and one that is right.

Three services. One standard of scientific rigor.

Each module can stand alone — but most clients start with analysis, and grow into the rest once trust is established.

Module 01 — Core

Data Analysis & Interpretation

RNA-seq and NGS analysis, statistics, and publication-ready figures — with a written interpretation, not just a script output.

  • QC & preprocessing
  • Differential expression
  • Figures built for publication
  • Plain-language summary
Start here
Module 02 — Upsell

Scientific Communication

Replaces a vague line like "we use advanced AI-driven methods" with a precise one a reviewer or investor can actually evaluate — the same standard of precision as the analysis itself, applied to how it's written.

  • Abstracts & summaries
  • Manuscript sections
  • Technical explanations
  • Investor-facing copy
Module 03 — Parallel

Scientific Digital Presence

A website that reads the way a real lab page should: publications pulled in automatically and correctly, research interests described the way a scientist would say them — not boilerplate agency copy.

  • Auto-synced publications
  • Research-interest framing
  • Fixed, templated scope
  • Fast turnaround

The pipeline, before you commit to anything.

Every analysis follows a defined, defensible workflow — not a black box. Pick an assay type to see the actual steps and tools involved.

Track record before the pitch.

03
Independent research preprints
03
Published open-source packages
7K+
Combined package downloads
1wk
Typical analysis turnaround

A track record you can check.

Every entry here is independently verifiable — not portfolio copy.

Three open-source packages, 7,000+ combined downloads — three sole-author preprints — one live example of the website module.

Open-source

gene-id-resolver

A Python package that resolves gene identifiers across naming conventions and databases, cutting out one of the most common friction points in cross-dataset analysis.

View on PyPI →
Open-source

Phredator

A tool for working with Phred quality scores in sequencing data, built to speed up a routine but essential step of NGS quality control.

View on PyPI →
Open-source

EvoMotif

A package for evolutionary motif analysis, used to identify and compare conserved sequence patterns across genomic datasets.

View on PyPI →
Preprint

TCGA-BRCA Multi-Omics

Sole-author analysis integrating multiple omics layers within the TCGA breast cancer cohort to characterize patterns across the dataset.

Read preprint →
Preprint

MEF2C Haploinsufficiency

A multi-omics investigation into MEF2C haploinsufficiency, examining its molecular signatures independently, sole-author, start to finish.

Read preprint →
Preprint

HCC1395 Somatic WGS

Whole-genome sequencing analysis of the HCC1395 reference cell line, characterizing somatic variation with a fully reproducible pipeline.

Read preprint →
Demo build

Science-Correct Website

A demonstration build of the Module 3 offering: auto-synced publications feed, clean research-interest framing, no generic template filler.

View demo →

One person, doing the actual work.

No account managers, no subcontracted analysts. When you work with Cortessa, you work directly with the person who runs the analysis.

Taha Ahmad
B.Sc. Biology, METU
Research experience, Biomedical Engineering, Ankara University
BIOMATEN, METU — Biotechnology
M.Sc. TUM School of Life Sciences

Hi, my name is Taha Ahmad.

I graduated in Biology from METU and am currently pursuing an M.Sc. at TUM School of Life Sciences. Along the way, I've gained experience across both academia and industry, working on projects in computational biology, bioinformatics, biotechnology, and scientific software development, including R&D at Ankara University Biomedical Engineering and industry experience at BIOMATEN, METU's biomaterials research center.

I started Cortessa because I genuinely enjoy using computation to solve biological problems. Whether it's analyzing sequencing data, building reproducible workflows, developing scientific software, or creating research-focused digital platforms, my goal is always the same: to deliver work that is technically sound, practical, and genuinely useful.

Cortessa is an independent consultancy, and every project is handled personally—from the initial discussion to the final deliverables. I intentionally take on a limited number of projects so that each client receives the time, attention, and quality their work deserves.

Fixed scope, fixed price. No surprises.

The starter price reflects where the business is right now, not the ceiling of the work — it's an early-stage rate that moves up as the track record grows, and locking it in now is the advantage of starting early with Cortessa.

Custom / Larger-Scope Project
Let's talk
Multiple datasets · Extended analysis · Timeline scoped to the work
  • Multi-dataset or multi-omics integration
  • Extended statistics or a custom pipeline
  • Manuscript-length written interpretation
  • Timeline set to match the scope

Price and timeline are worked out together after a short conversation about what you need — same fixed-scope principle, just sized to a bigger project.

A fixed, predictable process.

No open-ended hours. You know the scope and the price before we start.

01

Share your data

Send the dataset and the question you're trying to answer — no need to pre-clean it.

02

Fixed-scope quote

A flat price for a defined deliverable, confirmed before any work begins.

03

Analysis & figures

QC, analysis, and publication-ready visuals delivered within about a week.

04

Plain-language summary

A written interpretation so the result is usable, not just technically correct.

Early feedback from real projects.

"

Handed over a messy RNA-seq dataset with almost no documentation and got back clean figures and a summary I could actually put in front of my committee. Faster than I expected for the price.

M.K.
M.K.
PhD Candidate, Molecular Biology
"

What stood out was the fixed scope. I knew exactly what I'd get and what it would cost before anything started. No scope creep, no vague hourly invoice at the end.

A.R.
A.R.
Postdoctoral Researcher
"

We needed our lab's site to actually reflect our publications correctly, not just look nice. It was the first time a website felt like it understood what a research page needs to say.

H.K
H.K
Principal Investigator

Not sure if we're a fit?

Cortessa is deliberately narrow. That's not a limitation — it's the point.

We're a good fit if

  • You're a researcher, PhD/MSc student, or PI with a dataset that needs proper analysis and interpretation
  • You're a lab or early-stage biotech team that needs your research presented credibly online
  • You need scientific writing that survives a reviewer's or investor's scrutiny
  • You'd rather have one accountable person than a rotating agency team

We won't take on

  • Generic web design, marketing sites, or e-commerce builds
  • Social media management or SEO campaigns
  • Open-ended hourly work with no defined scope
  • Bespoke custom design work outside the science-site template

Things people usually ask before starting.

Just tell us upfront — most academic clients pay via a lab purchase order or invoice rather than a personal card. We'll confirm your institution's process before quoting, and issue a formal invoice that fits it. If your university's PO process takes a few weeks, we'll plan the timeline around that rather than assuming a same-week start.

Yes. QC and preprocessing are part of the Analysis Starter Package, not a prerequisite for it. Send the data as it exists — raw, messy, partially labeled — and the cleanup happens as step one, not something you need to solve before reaching out.

Yes, happily, especially for unpublished data or pre-patent work. It's normal to ask, and we'll sign before any dataset changes hands if you'd like one in place.

Most commonly RNA-seq and other NGS data (FASTQ, BAM, count matrices), along with standard tabular formats (CSV, TSV, Excel) for other omics or experimental data. If you're not sure your format is supported, ask — it's a five-minute answer either way.

That happens, and it's not a failure — it's often the actual finding. The written summary will say so plainly, and one round of clarifying revisions is included if you need the analysis extended or re-framed around a follow-up question.

No — this is a paid service, not a collaboration seeking authorship. If your contribution standards call for acknowledgment given the scope of analytical work involved, that's entirely your call to make.

Yes — all work is remote, and most communication happens over email or a short call. Time zones are rarely an issue given the project turnaround is measured in days, not hours.

Then you'll be told that directly, ideally before any money changes hands. Generic web design, marketing work, and open-ended consulting are explicitly outside scope — see the section above — and it's more useful to say so early than to take on a project outside real expertise.

Have a dataset that needs a clear answer?

Tell us what you're working with — we'll tell you honestly whether we're the right fit.