wootrex

Sort a pooled run back into individual samples by their barcodes. Error-tolerant matching handles noisy reads and double-barcoded Nanopore kits, weak reads are filtered out, and QC plots show how cleanly each sample separated.

Group near-identical sequences and keep one representative per group. Trim a reference set to its unique strains, or condense repetitive reads before analysis, without losing track of each one's abundance.

Match reads against a reference set to see what's in each sample and how much. Get the standard diversity measures (richness, Shannon, Simpson, evenness) plus abundance tables ready for a figure.

Measure gene expression from RNA-seq and find the genes that shift between two conditions. Get volcano plots, PCA, and expression heatmaps alongside the full results table, computed with DESeq2.

See which biological pathways drive your results. GSEA takes your ranked gene list and highlights the pathways and gene sets that stand out, with clear plots of the strongest hits.

Rebuild full-length sequences from your reads when you have no reference. Get the assembled sequences and standard quality stats like N50, plus a dedicated mode for mixed amplicon libraries such as antibody repertoires.

The platform moves quickly through large datasets. A smart first pass skips comparisons that can't matter and spends time only on the ones that do, so analyses that once took hours finish much sooner, with no shortcuts on accuracy.

Analyses run on cloud machines that switch on only when you have work to do. A large study gets the power it needs, and you don't pay for a machine sitting idle between experiments.

Everything happens in your browser: upload files, watch each analysis run in real time, and download the results when it's done. Organize your work in projects, and pin the reference files you use again and again.

Add your sequencing files, along with any reference or barcode files, and group them together in a project.

Pick an analysis and select your files, or the results of an earlier step. Every setting starts from a sensible default, so you can just run it.

Watch the numbers and plots come together as it runs, then download everything when it's done, ready to share or publish.

Every analysis gives you a complete set of results to download: the numbers, plain-language summaries, and ready-made figures such as diversity tables, volcano plots, heatmaps, QC reports, and assembly stats. The exact settings are saved with every run, so your work stays reproducible.

Molecular and synthetic biology labs that want answers from their sequencing data without becoming bioinformaticians: amplicon and 16S community profiling, Nanopore QC, antibody and variant-library characterization, directed-evolution screens, and RNA-seq.