miRNAProtPred

FlowVision is offline flow cytometry analysis software for Windows and macOS. It supports FCS 2.0, 3.0, 3.1 and 3.2 file formats, polygon/rectangle/ellipse/quadrant gating with auto-fit (snap to cluster), spillover compensation, biexponential and hyperlog scales, MFI statistics (median, geometric mean, CV%), multi-file batch analysis with per-file gate overrides, and hierarchical gating. Spectral unmixing supports linear, NNLS, and Poisson-weighted least squares algorithms, with autofluorescence extraction and spillover spreading matrix. UMAP dimensionality reduction with reproducible seed and landmark mode for high-parameter panels. Imports FlowJo .wsp (compensation matrix) and exports gates to FlowJo .wsp and Gating-ML 2.0 (ISAC open standard) for interoperability with FlowJo, R/flowWorkspace/CytoML, and FCS Express.

A two-step desktop GUI application for RNA-seq differential gene expression (DEG) analysis. Step 1 reads raw GDC/TCGA STAR gene-count files together with a GDC sample sheet, matches samples to a Tumor/Normal design, and runs PyDESeq2 to produce normalized counts and DEG statistics. Step 2 generates publication-style volcano plots, MA plots, summary bar charts, and expression heatmaps (with optional gene labeling) from the results, exportable as PNG, PDF, SVG, or TIFF. Requires no coding from the user.

An interactive platform that performs statistical analyses on metabolomics datasets and allows visualising results with ease. The interface gives users autonomy in creating figures suited to their reporting and publication needs.

edf2csv is a local command-line tool for converting EDF, EDF+, BDF, and BDF+ physiological recordings into CSV and JSON files. It exports signal values, channel information, annotations, and recording metadata while preserving original sampling rates, physical units, and discontinuities.

Plant Compound Extractor is a desktop application that builds a ready-to-use, deduplicated library of 3D ligand structures for a given plant. It queries multiple natural-product and chemical databases (COCONUT, LOTUS, Wikidata, PubChem, PlantaeDB, USDA Dr. Duke's, KNApSAcK and IMPPAT) in parallel, resolves each compound against PubChem for a canonical structure, and falls back to direct source retrieval when needed. Retrieved structures are then converted to 3D using RDKit, with configurable conformer generation and physicochemical filters (molecular weight, rotatable bonds, ring size, etc.). It can also process a manually supplied compound list, or convert an existing folder of 2D structures to 3D.

Meniscus turns a raw microplate-reader export into a defensible quantitative result. It reads eight instrument formats, provides plate layout editing, fits standard curves with six models including 4PL and 5PL, back-calculates sample concentrations, and issues a quality-control verdict against stated thresholds. Every reported number can be expanded into the substituted formula that produced it. Analysis runs entirely in the browser with no upload and no backend. Numerical routines are validated against independent SciPy and NumPy implementations, published openly.