Some of my web application are available here
Some of my web application are available here
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Web apps gallery:
Web apps gallery:
web application, data analysis and data visualizations.
1. DORSSAA
DORSSAA is a web resource for exploring drug–target interactomics data derived from stability/solubility alteration assays. Its interface is organized around protein queries, cell line or organism queries, compound queries, enrichment analysis, statistics, studies, and help pages, which makes it look like a discovery platform for investigating how compounds affect proteins across multiple biological contexts.
2. APSiC
APSiC is a cancer dependency analysis portal built around the Analysis of Perturbation Screens for identifying novel Cancer genes framework. The web application is organized into Query gene and Query cancer workflows, with help/about sections and downloadable outputs, so it functions as an interactive resource for exploring gene-level cancer dependencies rather than just a static paper companion.
ProteomiXplorer is a proteomics exploration dashboard designed around several analysis views: Explore Protein, Tissue Comparison, and Pan-Cancer Heatmap. From the visible navigation, it appears to be a tool for interactively examining protein or gene-level patterns across tissues and cancer-related contexts, with additional sections describing the related paper and the developer.
4. CookWise
CookWise, titled “What Should I Cook Today?”, is a recipe suggestion app with a consumer-friendly interface. The landing page shows support for English and Finnish, dark mode, recipe rating, recipe suggestions, and shopping list export, and it includes a short developer note saying it was created to help people decide what to cook every day with simplicity.
5. NIMAA
The NIMAA app is a Shiny dashboard built to demonstrate the functionality of the NIMAA framework on several example datasets, including beatAML, DrugComb, Robertson, HerbIngredient, fish catch, HR analytics, student discussion, and online retail data. According to the app’s own description, NIMAA focuses on mining nominal data through bipartite networks, label similarity analysis, clustering, missing-weight imputation, validation, and visualisation.
6. PepMol
The PepMod allows users to digest any UniProt protein in silico using trypsin, and simulate phosphorylation on S/T/Y residues.
7. WAXChem
The Smiles Similarity web application performs SMILES-based compound similarity analysis. The user provides a compound structure as a SMILES string, and the app compares it against a local DrugCentral compound database.
The workflow converts each SMILES string into a molecular fingerprint and calculates the Tanimoto similarity score. For binary molecular fingerprints, the Tanimoto coefficient is equivalent to the Jaccard index, comparing the shared fingerprint features between two compounds.
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