Inflexa
Official@inflexa-ai · United States of America
The open-source orchestrator for computational biology.
Agent Skills by Inflexa
Showing 34 vetted skills indexed across 1 GitHub repositories.
inflexa-aiopenspec-apply-change
Implement OpenSpec change file tasks with status tracking and context reading.
inflexa-aiopenspec-explore
Analyze codebase patterns and visualize system flows with OpenSpec CLI.
inflexa-aiopenspec-verify-change
Validate software implementation completeness against openspec change artifacts.
inflexa-aiopenspec-new-change
Scaffold new change directories and manage artifact dependencies with openspec CLI.
inflexa-aiopenspec-archive-change
Archives completed experimental changes and syncs specifications in OpenCL.
inflexa-aiopenspec-onboard
Guide users through the OpenSpec development lifecycle with interactive onboarding.
inflexa-aidb-ops
Standardize SQLite database interactions with type-safe Result patterns and transactional wrappers.
inflexa-aiopenspec-propose
Generate proposal.md, design.md, and tasks.md via the openspec CLI.
inflexa-aiopenspec-bulk-archive-change
Batch archive development changes with spec synchronization and conflict resolution.
inflexa-aiopenspec-continue-change
Orchestrate OpenSpec change lifecycle status checks and sequential artifact generation.
inflexa-aiopenspec-sync-specs
Merge delta requirement changes into main OpenSpec specification files.
inflexa-aiopenspec-ff-change
Generate OpenSpec change artifacts by orchestrating CLI commands and dependency resolution.
inflexa-aiverify
Validate @inflexa-ai/harness package changes against a containerized Postgres database.
inflexa-aidna-methylation
Analyze DNA methylation data from Illumina arrays and bisulfite sequencing.
inflexa-aitranslational-safety
Integrate CTCAE v5 grading, CYP metabolism, and FAERS signal detection for safety assessments.
inflexa-aimetabolomics
Process mass spectrometry data with XCMS and matchms for metabolomics analysis.
inflexa-aimultimodal-single-cell
Orchestrates integration workflows for multimodal single-cell data using MuData, Muon, and scvi-tools.
inflexa-aistatistical-modeling
Perform statistical modeling and machine learning analysis for biomedical research.
inflexa-aidrug-repurposing
Match disease signatures with drug perturbation profiles using network proximity scoring.
inflexa-aimicrobiome
Analyze amplicon and shotgun metagenomic data with compositional-aware statistical methods.
inflexa-aicheminformatics
Automate molecular structure analysis and QSAR modeling workflows with RDKit and DeepChem.
inflexa-aichromatin-regulation
Standardize ATAC-seq, ChIP-seq, and CUT&Tag analysis with peak calling and differential binding.
inflexa-aiimmune-profiling
Quantify immune cell composition and signature activity from expression data.
inflexa-aimulti-omics-integration
Integrate multi-modal omics datasets using MOFA+, DIABLO, and SNF methods.
Frequently Asked Questions About Inflexa
FAQPage SchemaWhat specific research tasks are enabled by these computational capabilities?▼
These capabilities enable high-throughput analysis of DNA methylation, chromatin regulation, and spatial transcriptomics. Researchers can perform drug repurposing via network proximity scoring, execute germline variant calling with GATK, and integrate multi-modal omics datasets using MOFA+ and DIABLO methods for complex disease signature identification.
Which professional personas benefit from these bioinformatics resources?▼
Computational biologists, clinical pharmacologists, and bioinformatics engineers benefit from these standardized methods. The framework supports professionals managing large-scale genomic variants, immune profiling, and pharmacokinetic-pharmacodynamic data, ensuring consistency across experimental design, statistical modeling, and clinical response classification tasks.
What are the primary dependencies for running these analysis pipelines?▼
The environment relies on AnnData and MuData containers for standardized data handling. Analysis pipelines utilize established libraries including RDKit for cheminformatics, Scanpy for single-cell processing, and GATK for variant calling, requiring a containerized environment capable of executing these specific bioinformatics packages.