Browse the BioContext7 deep skill library. Tool pages surface documentation, registry links, and install details for agent-facing workflows.
2,064 tools — page 19 of 42
| Tool | Registry | Domain | Docs |
|---|---|---|---|
Use this skill for SciTools Iris workflows on multidimensional Earth-science data: loading NetCDF/GRIB/PP into Cube objects, constraining and extracting subsets, aggregating over dimensions, regriddin | SciTools/iris | Other | 10 |
ISOLDE — interactive molecular dynamics plugin for UCSF ChimeraX that enables real-time model building into low-to-medium resolution cryo-EM and crystallographic maps. Uses GPU-accelerated OpenMM with | tristanic/isolde | Structure Prediction | 10 |
JAX — Google's high-performance numerical computing library combining NumPy API with automatic differentiation (grad, value_and_grad), just-in-time XLA compilation (jit), automatic vectorization (vmap | jax-ml/jax | Machine Learning | 10 |
Laspy — Python library for reading, writing, and manipulating LAS and LAZ (compressed) LIDAR point cloud files conforming to ASPRS LAS specification versions 1.0 through 1.4. Supports chunked I/O for | laspy/laspy | Other | 10 |
LIANA (LIgand-receptor ANAlysis) — unified Python framework for cell-cell communication inference from single-cell transcriptomics. Wraps multiple methods (CellPhoneDB, NATMI, Connectome, SingleCellSi | saezlab/liana-py | Single-Cell | 9 |
Loom — HDF5-based file format and Python library (loompy) for storing and accessing large single-cell RNA-seq datasets. Supports sparse/dense matrices, row attributes (genes/features), column attribut | linnarssonelab/loompy | Genomics | 10 |
MACS2 (Model-based Analysis of ChIP-Seq) — the standard peak caller for ChIP-seq and ATAC-seq experiments. Identifies transcription factor binding sites (narrow peaks), histone modification domains (b | macs3-project/MACS | Genomics | 11 |
MatchIt — R package for nonparametric preprocessing via propensity score matching in observational studies. Implements nearest neighbor, optimal, full, generalized full, genetic, exact, coarsened exac | kosukeimai/MatchIt | Statistics | 10 |
MCIA (Multiple Co-Inertia Analysis) — R/Bioconductor omicade4 package for simultaneous dimensionality reduction across multiple paired omics datasets. Identifies co-structure axes (co-inertia) that ar | aedin/omicade4 | Systems Biology | 9 |
mediation — R package for causal mediation analysis implementing parametric and non-parametric methods. Core function mediate() estimates average causal mediation effects (ACME), average direct effect | Hordago-Labs/biocontext7 | Statistics | 10 |
methylclock — R/Bioconductor package for computing DNA methylation-based biological age estimates using epigenetic clocks. Implements Horvath (2013), Hannum (2013), Levine/PhenoAge (2018), Zhang (2019 | isglobal-brge/methylclock | Epigenomics | 9 |
MHCflurry — open-source Python package for MHC class I peptide binding affinity and antigen presentation prediction. Accepts peptide sequences (8-15 amino acids) and HLA allele names (e.g., HLA-A*02:0 | openvax/mhcflurry | Clinical Genomics | 9 |
Use when working with modelangelo — modelAngelo — automated atomic model | 3dem/model-angelo | Structure Prediction | 9 |
Use when working with mokapot — mokapot -- Python package for semi-supervised | wfondrie/mokapot | Proteomics | 9 |
Mowgli — multi-omics Wasserstein integrated analysis using group NMF to jointly factorize paired multi-omics data (RNA, ATAC, protein/ADT) from single-cell experiments. Learns shared and modality-spec | cantinilab/Mowgli | Systems Biology | 9 |
Use when assessing MRI image quality, extracting Image Quality Metrics (IQMs), running quality control on BIDS neuroimaging datasets, or generating QC reports for T1w, T2w, or BOLD fMRI data. Covers M | nipreps/mriqc | Imaging | 9 |
MSBooster — deep-learning rescoring tool for proteomics database search results. Predicts peptide retention time, ion mobility, and MS2 fragmentation spectra using models via Koina (Prosit, AlphaPeptD | Nesvilab/MSBooster | Proteomics | 10 |
MSIsensor2 detects microsatellite instability (MSI) in tumor-only sequencing data using machine learning — no paired normal sample required. Supports whole-exome sequencing (WES), whole-genome sequenc | niu-lab/msisensor2 | Clinical Genomics | 9 |
NAMD — high-performance parallel molecular dynamics for large biomolecular systems. Runs on CPU clusters and GPUs with CHARMM and AMBER force fields. Supports explicit/implicit solvent, enhanced sampl | UIUC-PPL/NAMD | Structure Prediction | 10 |
NeuralGCM — hybrid ML-physics atmospheric model for weather forecasting and climate simulation built on JAX and the Dinosaur spectral dynamical core. Provides PressureLevelModel API for loading pre-tr | google-research/neuralgcm | Machine Learning | 9 |
nf-core/eager is a Nextflow pipeline for ancient DNA (aDNA) and palaeogenomics analysis. Handles adapter trimming, low-complexity filtering, read mapping with BWA-aln (optimal for short aDNA reads), d | nf-core/eager | Workflows | 9 |
NicheNet — R-based computational framework for studying intercellular communication from single-cell transcriptomics. Predicts which ligands expressed by sender cell types regulate target gene express | saeyslab/nichenetr | Single-Cell | 9 |
Nirvana — Clinical-grade genomic variant annotation tool by Illumina that processes VCF files and outputs structured JSON with transcript consequences, population frequencies, pathogenicity scores, an | Illumina/Nirvana | Genomics | 11 |
nloptr — R interface to the NLopt nonlinear optimization library. Provides a common interface to 30+ optimization algorithms covering local and global search, gradient-based and derivative-free method | astamm/nloptr | Statistics | 9 |
Noodles — Rust bioinformatics I/O library with specification-compliant | zaeleus/noodles | Utilities & Infrastructure | 9 |
Nucleotide Transformer — DNA foundation models by InstaDeep and BioNTech for genomic sequence analysis. Pre-trained transformer models (50M to 2.5B parameters) on 3,202 diverse genomes generate embedd | instadeepai/nucleotide-transformer | Machine Learning | 10 |
Use when working with OmicsIntegrator or OmicsIntegrator2 — a network-based multi-omics data integration framework from the Fraenkel Lab (MIT). Applies the Prize-Collecting Steiner Forest (PCSF) algor | fraenkel-lab/OmicsIntegrator2 | Proteomics | 9 |
'Use when working with opencravat — openCRAVAT — open-source variant | KarchinLab/open-cravat | Clinical Genomics | 10 |
OpenMM — high-performance molecular dynamics simulation toolkit with GPU acceleration via CUDA and OpenCL. Provides Python API for building custom simulations, force field support (AMBER, CHARMM, AMOE | openmm/openmm | Structure Prediction | 11 |
pairtools — Command-line toolkit for processing Hi-C and chromosome conformation capture contact pairs in the Open2C ecosystem. Parses alignments (SAM/BAM) into .pairs format, sorts, deduplicates, fil | open2c/pairtools | Genomics | 10 |
Palantir — pseudotime and cell fate probability analysis for single-cell RNA-seq data using Markov diffusion chains. Computes a continuous pseudotime ordering from a user-specified start cell and quan | dpeerlab/Palantir | Single-Cell | 9 |
Papermill — parameterize, execute, and analyze Jupyter notebooks from the command line or Python API. Enables reproducible notebook-based bioinformatics pipelines by injecting parameters into tagged c | nteract/papermill | Workflows | 10 |
PCAngsd — principal component analysis and population genetics inference from genotype likelihoods in low-depth sequencing data. Use when performing PCA on low-coverage WGS, ancient DNA, or pooled seq | Rosemeis/pcangsd | Population Genetics | 9 |
Use when converting PDF pages to images with pdf2image, a Python wrapper around Poppler tools (pdftoppm/pdftocairo). Covers PDF-to-PNG/JPEG/TIFF conversion, page-range extraction, grayscale rendering, | Belval/pdf2image | Visualization | 9 |
Perturb-seq analysis tools including MIMOSCA (Multi-Input Multi-Output Single-Cell Analysis) for CRISPR perturbation screens with single-cell RNA-seq readout. Handles guide RNA assignment to cells, pe | asncd/MIMOSCA | Genomics | 9 |
Phenix — comprehensive macromolecular structure determination from X-ray crystallography, cryo-EM, and neutron diffraction data. Provides automated molecular replacement (Phaser), structure refinement | cctbx/cctbx_project | Structure Prediction | 10 |
Prosit — deep learning framework for predicting MS2 fragment ion spectra and indexed retention times (iRT) from peptide sequences. Enables in silico spectral library generation for any organism and pr | kusterlab/prosit | Proteomics | 10 |
ProteinMPNN — deep learning-based protein sequence design from backbone structures. Uses message passing neural networks to predict amino acid sequences that fold into a given 3D backbone. Supports fi | dauparas/ProteinMPNN | Structure Prediction | 10 |
pslMap and pslFilter are UCSC Kent utility programs for manipulating PSL (BLAT alignment) files. pslMap remaps PSL alignments from one coordinate space to another using a chain or mapping PSL file — u | ucscGenomeBrowser/kent | Genomics | 9 |
Use when working with PubMedBERT — a BERT model pretrained from scratch on PubMed abstracts — for biomedical NLP tasks including named entity recognition, relation extraction, question answering, and | manual | Machine Learning | 10 |
Use when working with PyG (PyTorch Geometric) — the PyTorch-based library for deep learning on graphs and irregular data structures. Supports graph neural networks (GNNs) including GCN, GAT, GraphSAGE | pyg-team/pytorch_geometric | Machine Learning | 9 |
PyMC — probabilistic programming framework for Bayesian statistical modeling in Python. Define models with intuitive syntax using pm.Model() context manager, specify priors (Normal, HalfNormal, HalfCa | pymc-devs/pymc | Statistics | 10 |
PyStan — Python interface to Stan for Bayesian statistical modeling and high-performance inference. Compile Stan programs (stan.build), draw posterior samples via HMC-NUTS (model.sample), extract draw | stan-dev/pystan | Statistics | 14 |
pyteomics -- Python library for proteomics and mass spectrometry data analysis. Reads and writes mzML, mzXML, MGF, FASTA, pepXML, mzIdentML, and other standard formats. Provides mass calculations, pep | levitsky/pyteomics | Proteomics | 9 |
Use when users need to test bioinformatics workflows or pipelines with YAML definitions in pytest. Covers authoring `test*.yml` files, validating schema keys (`name`, `command`, `files`, `stdout`, `st | LUMC/pytest-workflow | Workflows | 9 |
PyTorch — open-source deep learning framework for building and training neural networks in biology and life sciences. Provides tensor computation with GPU acceleration, automatic differentiation (auto | pytorch/pytorch | Machine Learning | 10 |
Use when working with RColorBrewer — an R package providing ColorBrewer palettes by Cynthia Brewer for cartography and data visualization. Offers three palette types: sequential (18 palettes), divergi | cran/RColorBrewer | Visualization | 9 |
readr — tidyverse R package for reading rectangular text data: CSV, TSV, fixed-width, whitespace-delimited, and log files. Provides fast parsing with automatic type inference, explicit col_types speci | tidyverse/readr | Utilities & Infrastructure | 9 |
RELION — Bayesian approach to cryo-EM single-particle analysis for 3D structure determination of biological macromolecules. Provides motion correction, CTF estimation, particle picking (autopicking, L | 3dem/relion | Structure Prediction | 10 |
Remora is an Oxford Nanopore Technologies (ONT) tool for modified base calling from nanopore sequencing data. Trains neural network models to detect base modifications (5mC, 5hmC, m6A, pseudouridine, | nanoporetech/remora | Genomics | 10 |