Articles tagged with “bioinformatics”

Explore practical applications of Claude Code in life sciences. This guide covers its use in genomics, bioinformatics, and R&D automation via tool connectors. L

Learn to design a ChatGPT workshop for biotech professionals. This guide covers LLM fundamentals, practical use cases, and prompt engineering for life sciences.

Explore the top MCP servers for biotech. Learn how the Model Context Protocol connects AI agents and LLMs to critical databases for genomics and drug discovery.

Explore the exponential rise in AI compute demand in biotech. This 2025 report analyzes key statistics, infrastructure needs, and trends in drug discovery and g

An educational guide to HPC in life sciences. We review top lab IT specialists and solutions for genomics, drug discovery, and bioinformatics data analysis.

A technical comparison of Databricks vs. Snowflake for life sciences. Explore the lakehouse and cloud data platform for genomics, clinical data, and AI/ML workl

Explore top MS in AI for Drug Development programs for 2025. This guide reviews curricula, career prospects, and leading universities like UCSF and Maryland.

An index of open-source LIMS with details on each system's license, technology stack, and intended use for clinical, research, and biobanking labs.

Learn about Apache Airflow's core architecture, including DAGs, schedulers, and executors, and its application for building data workflows in life sciences.

Learn about the specialized software tools used across the drug development lifecycle, from discovery and preclinical research to manufacturing and commercialization.

Review a list of global online degrees and certificates in AI for pharmaceutical science. Compare programs by level, curriculum, cost, and duration.

A detailed survey of large language model benchmarks in life sciences, covering biomedical NLP, drug discovery, and genomics, with industry use cases and top model performance.

Comprehensive analysis of big data technologies used in pharmaceutical industry, including Hadoop, Spark, cloud data warehouses, NoSQL databases, and specialized genomics platforms, with detailed comparisons and implementation examples.

An in-depth exploration of how data science is revolutionizing the life sciences industry, from drug discovery to clinical trials, with real-world applications and case studies.

A comprehensive overview of the most influential open-source software tools transforming pharmaceutical research, development, and manufacturing, from cheminformatics to clinical data management and regulatory compliance.