Client Success Stories

See how leading research institutions turned complex data into biological insights with AnyHelix

📍 University of New South Wales

Single-Cell RNA-seq: Sorting through the noise

"We came to AnyHelix because our internal team was hitting a wall with some noisy single-cell RNA-seq data. To be honest, our initial clustering looked like a blob, and we couldn't isolate the rare progenitor population we were looking for. We'd already spent three weeks trying to optimize the filtering ourselves without much luck.

AnyHelix ended up customizing a trajectory analysis that finally separated those sub-clusters. They identified 4 distinct transitional cell states that we had missed. What I appreciated most wasn't just the figures, which were honestly better than what I usually see in many manuscripts, but that they gave us the full R environment. When our postdoc wanted to change the color palette for a presentation, the code actually worked on the first try."

📍 National University of Singapore (NUS)

Bulk RNA-seq: Turning a "black box" matrix into publication figures

"Our lab handles the wet lab side perfectly, but we don't have a dedicated bioinformatician in-house right now. We sent out samples for bulk RNA-seq to a large sequencing provider, and they sent back a raw gene expression matrix along with their standard automated analysis report.

We couldn't use what they gave us. The results just looked weird, and the heatmaps were so cluttered they were unreadable. We knew the biology was there, but the figures they provided didn't have the right colors and fonts; and we could not put them in a manuscript. We were basically stuck with a count matrix and those basic results and no way to move forward.

We handed the matrix over to the AnyHelix team hoping they could just clean up the plots. They did a lot more than that. They noticed the previous provider hadn't properly filtered low-count genes before normalization, which was skewing the whole analysis.

AnyHelix re-ran the differential expression and enrichment from scratch. The difference was night and day. They delivered volcano plots and heatmaps that were actually styled for publication, and a much tighter list of 18 significantly enriched pathways that finally aligned with our phenotypic data. They also wrote the Methods section for us, explaining exactly how they processed the matrix, which saved us a ton of time during drafting."

📍 Chinese Academy of Sciences

Multi-omics Integration: Metabolomics meets Proteomics

"We had two separate datasets, untargeted metabolomics and TMT-labeled proteomics, and we weren't sure how to statistically link them to our clinical outcomes. We'd tried a few 'black box' online tools, but the results didn't make biological sense.

The AnyHelix team spent the first week just talking through the biology with us before they even touched the code. They used a joint integration approach that identified 22 novel biomarkers across both platforms that were significantly correlated with drug resistance. They provided the Methods section for our manuscript, which was a relief because explaining the normalization steps for multi-omics can be a headache. It felt more like having a senior bioinformatician in the office next door."

📍 University of Edinburgh

Mendelian Randomization: Addressing Reviewer 2

"We were in the middle of a revision and a reviewer was being very specific (and a bit difficult) about our causal inference claims. We needed to perform a Mendelian Randomization analysis to strengthen the paper, but we didn't have the expertise in-house to do the sensitivity analyses the reviewer asked to do.

I reached out to AnyHelix on a Tuesday, and by the following Monday, they had a report ready. They ran the MR-Egger and weighted-median tests which confirmed our primary findings and quantified the pleiotropy issues the reviewer was worried about. They even drafted a response for the reviewer comment. We didn't just get a plot; we got the technical defense we needed to get the paper through. It saved us weeks of time."

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