Bioinformatics & Life Sciences Bundle | Prompeteer.ai

Genomics, molecular modeling, sequencing pipelines, and drug-discovery workflows.

Included Skills (21)

  1. Single-Cell Analysis Toolkit — This toolkit provides a comprehensive Python pipeline for single-cell RNA-seq analysis, assisting researchers with quality control, clustering, and visualization of complex biological datasets.
  2. Bioinformatics Sequence Toolkit — This toolkit provides researchers with robust Python utilities for molecular sequence manipulation, file parsing, and automated database access for complex bioinformatics workflows.
  3. Cheminformatics Workflow Assistant — This tool streamlines drug discovery workflows by providing a simplified, Pythonic interface for molecular processing, standardization, and analysis using the RDKit ecosystem.
  4. Single-Cell Generative Modeling — This tool provides deep generative models for single-cell omics, assisting researchers with probabilistic batch correction, multimodal data integration, and advanced differential expression analysis.
  5. Single-Cell Data Query — This skill enables bioinformaticians and researchers to programmatically query and analyze large-scale, versioned public single-cell and spatial transcriptomics data from the CZ CELLxGENE Census.
  6. Protein Design Assistant — This tool assists researchers in generating, designing, and analyzing protein sequences and structures using the ESM3, ESMC, and ESMFold2 model ecosystems.
  7. Bioinformatics Analysis Toolkit — This toolkit provides comprehensive Python tools for sequence manipulation, phylogenetic analysis, and microbial ecology statistics to assist researchers in processing complex biological datasets.
  8. NGS Analysis Toolkit — This toolkit enables bioinformaticians to process, normalize, and visualize high-throughput sequencing data through robust quality control and publication-ready genomic plotting utilities.
  9. Gene Network Inference — Arboreto enables bioinformaticians to infer gene regulatory networks from transcriptomics data by identifying transcription factor-target gene relationships using scalable ensemble regression algorithms.
  10. Genomic Interval Processor — This tool accelerates genomic interval operations and bioinformatics file I/O for researchers needing high-performance, cloud-native data processing within Polars DataFrames.
  11. Bioinformatics Data Integrator — This tool provides a unified Python interface for researchers to query and integrate data from over forty bioinformatics databases through a consistent API.
  12. DNAnexus Workflow Orchestrator — This skill enables bioinformaticians to build, monitor, and automate reproducible genomics workloads on the DNAnexus platform using CLI tools and workflow engines.
  13. Genomic Interval Toolkit — This toolkit provides high-performance Rust and Python utilities for genomic interval operations, sequence analysis, and reference-based data management for bioinformatics researchers.
  14. Biological Data Lakehouse — LaminDB enables researchers to manage, trace, and validate biological datasets and models within a lineage-native, FAIR-compliant, and highly queryable data lakehouse environment.
  15. Genomic Data Processor — This tool enables bioinformaticians to efficiently read, query, and manipulate high-throughput sequencing files like SAM, BAM, VCF, and FASTA using the pysam library.
  16. Genomic Interval Assistant — This tool assists bioinformaticians by validating genomic interval contracts, planning machine learning workflows, and ensuring compatibility for local Geniml-based data analysis projects.
  17. Protocols.io Data Integrator — This tool enables researchers and developers to securely validate, read, and export protocols.io data using official REST contracts and safe execution patterns.
  18. Lab Automation Assistant — Develop and validate PyLabRobot liquid-handling protocols and device integrations to assist researchers in creating safe, efficient, and reproducible laboratory automation workflows.
  19. Public Database Retriever — This tool enables developers and researchers to perform reproducible, auditable data lookups across authoritative public APIs with precise filtering and full provenance tracking.
  20. Phylogenetic Tree Processor — This tool enables bioinformaticians to analyze, manipulate, annotate, and visualize complex phylogenetic trees using the ETE 4 framework for advanced evolutionary research.
  21. Pathway Enrichment Analyzer — This tool performs comprehensive pathway and gene-set enrichment analysis to help researchers interpret biological functions within their gene lists or ranked datasets.