HIDE-Deconv

github.com/dvoelkl/hide-deconv
Active3updated 1 week ago
Python
MIT

HIDE-Deconv is a framework for characterizing cellular remodeling from bulk RNA-seq data using hierarchical cell-type deconvolution across multiple levels of cellular resolution. It provides an integrated workflow for single-cell reference preprocessing, estimation of cellular compositions, and downstream analysis of deconvolution results, including visualization, clustering, differential composition, and survival analysis.

Sourced from

  • bio.toolshide-deconv
  • GitHubgithub.com/dvoelkl/hide-deconv

Related resources

Scalable toolkit for analyzing single-cell gene expression data, including preprocessing, visualization, clustering, and trajectory inference.

Active2.5K1 month ago
Python
BSD-3-Clause

MCP server enabling spatial transcriptomics analysis via natural language, integrating 60+ methods including SpaGCN, Cell2location, LIANA+, CellRank for Visium, Xenium, MERFISH platforms

Active431 month ago
Python
MIT

SQUARNA is a tool for RNA secondary structure prediction. It can take a single RNA sequence or an alignment of sequences as input. SQUARNA handles pseudoknots and can predict alternative structures. SQUARNA allows structural restraints and chemical probing data as additional input and is available at https://github.com/febos/SQUARNA and https://larnal.imol.institute/.

Active211 month ago
Jupyter Notebook
Apache-2.0

Open-source PyMOL plugin for membrane-aware review of predicted, designed and experimental protein structures. Membrane Visual QC provides planar membrane-relative geometry, residue core/interface classification, hydropathy and ligand-context review, solvent-accessibility context, PDBTM/OPM orientation-source checks, and reproducible batch reporting. It is designed as a review assistant rather than a biological structure validator.

Active21 month ago
Python
MIT

Comprehensive collection of 125+ ready-to-use scientific skill modules for Claude AI across bioinformatics, cheminformatics, clinical research, ML, and materials science

Active43.4K2 weeks ago
Python
MIT

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science with 140+ ready-to-use skills and 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Antigravity, and the open Agent Skills standard (K-Dense-AI, 26K+ stars, 2025)

Active34.3K3 weeks ago
Python
MIT