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Industry updates, best practices and expert perspectives on computational life sciences.

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Featured
Understanding How Best to Allocate Resources When Training Large Language Models in Gene Therapy Development Programs
Cell and Gene Therapy
blog

Understanding How Best to Allocate Resources When Training Large Language Models in Gene Therapy Development Programs

Nick Ketz, PhD

DeepMind researchers released a large language model (LLM) that uses fewer parameters yet achieves better performance. Read more to understand how this is relevant to your gene therapy programs.

Featured
How to leverage natural history studies to fill knowledge gaps in cell and gene therapy development
Cell and Gene Therapy
blog

How to leverage natural history studies to fill knowledge gaps in cell and gene therapy development

Claire Aldridge, PhD

Why are natural history studies important in cell and gene therapy development? Hear from our Chief Strategy Officer, Claire Aldridge, PhD on the importance of these studies and the need for effective data capture to make the most of them.

Featured
Single-Cell Techniques and Cell and Gene Therapy: How Integrating Multi-Omics Datasets is Driving Development Forward
Computational Life Sciences
blog

Single-Cell Techniques and Cell and Gene Therapy: How Integrating Multi-Omics Datasets is Driving Development Forward

Jill Roughan, PhD

Single-cell analysis is uncovering unappreciated heterogeneity in biological systems. Learn how these techniques are changing how cell and gene therapies are developed.

Featured
The Biologist’s Introduction to Computational Life Sciences
Computational Life Sciences
blog

The Biologist’s Introduction to Computational Life Sciences

Jill Roughan, PhD

Read here for an introduction to the emerging field of computational life sciences and its broad impact and applications in solving challenging research and clinical problems.

Featured
How Computational Life Sciences Enables Metagenomics Studies
Computational Life Sciences
blog

How Computational Life Sciences Enables Metagenomics Studies

Jill Roughan, PhD

Metagenomics studies and sophisticated computational tools advance disciplines from basic research to healthcare. Find out more in our blog.

Featured
Breakdown of the History and Recent Rapid Development of Biomanufacturing
Computational Life Sciences
blog

Breakdown of the History and Recent Rapid Development of Biomanufacturing

Alexander Titus, PhD

The future of biomanufacturing is bright. Read here to learn about history and recent developments in this emerging domestic industry.

Featured
Guest Post: What 2023 Holds for Cell and Gene Therapy
Cell and Gene Therapy
blog

Guest Post: What 2023 Holds for Cell and Gene Therapy

ChatGPT

With AI becoming not just inextricable but central for both science and software, we thought it fitting and worthwhile to utilize creative AI tools to see what 2023 might have in store for cell and gene therapy. Hence, our guest author is none other than OpenAI's ChatGPT.

Featured
Applying Data Visualization Tools to Advance Cell and Gene Therapy Research
Cell and Gene Therapy
blog

Applying Data Visualization Tools to Advance Cell and Gene Therapy Research

Jill Roughan, PhD

The ability to interpret data is crucial to advancing cell and gene therapy research. Read on to hear how researchers are presenting data in an accessible way.

Featured
How Top Biotechs Use Deep Learning to Drive Development of Cell and Gene Therapy
Cell and Gene Therapy
blog

How Top Biotechs Use Deep Learning to Drive Development of Cell and Gene Therapy

Jill Roughan, PhD

The power of deep learning for discovering and developing cell and gene therapies is undeniable. Learn how to implement it with these 10 actionable tips.

Featured
Healthcare
Informed insights

How Computational Life Sciences Will Help Us Address and Advance Health Equity

Claire Aldridge, PhD

Despite significant healthcare spending, the United States sees poorer health outcomes than other countries. Learn how computational life sciences can help address this.

Featured
Cell and Gene Therapy
Informed insights

What the FDA’s New Safety Draft Guidance for AAV Gene Therapies Means and How to Be Ready

Claire Aldridge, PhD

Get up to speed on the FDA's safety guidance draft that could impact clinical trials for gene therapy products. Our Chief Strategy Officer provides a framework on how to overcome potential safety issues.

Featured
Emerging Trends
Informed insights

Living in the Golden Age of Deep Learning and Life Sciences

Joe Nipko, PhD

With modern advancements in computational power and learning algorithms, we are in the golden age of deep learning in the life sciences and its applications.

Featured
Emerging Trends
Informed insights

Design for Manufacturing: A New Paradigm for Computational Life Sciences

Alexander Titus, PhD

With the help of computational life sciences, biotechnology is evolving. Learn how design for manufacturing design is advancing research, discovery and development processes.

Featured
Bioinformatics
Informed insights

Opportunities for Applying Today’s Computational Advances to Yesterday’s Analysis Techniques

Brandi Cantarel, PhD

Read hear to learn more about the past, present and future of bioinformatics sequence analysis.

Featured
Navigating Viral Vector Biomanufacturing Scale Up: An Essential Handbook
Cell and Gene Therapy
Downloads

Navigating Viral Vector Biomanufacturing Scale Up: An Essential Handbook

Viral vectors are necessary for cell and gene therapy development yet there are several barriers to high-yield production. Learn how to overcome them in our handbook.

Featured
Evaluating Computational Life Sciences Platforms: 5 Dos and 5 Don'ts
Computational Life Sciences
Downloads

Evaluating Computational Life Sciences Platforms: 5 Dos and 5 Don'ts

Download our guide, to learn what you need to know about selecting a Computational Life Sciences Platform that will serve your organizations needs, today and in the future.

Featured
Comparing Form Bio Data Analysis Performance With and Without NVIDIA Clara Parabricks
Bioinformatics
Downloads

Comparing Form Bio Data Analysis Performance With and Without NVIDIA Clara Parabricks

Genetic variant detection has wide application in genomics including identifying genetic changes that drive phenotypic changes. Over the last decade several open source tools have been developed to improve the accuracy and speed of SNV/Indel variant detection. Download our case report, to learn what how accelerated versions of these tools using GPUs have been shown to reduce computational time and resources.

Featured
An Introduction to BLAST and Sequence Alignment Tools
Computational Life Sciences
Downloads

An Introduction to BLAST and Sequence Alignment Tools

Just learning the basics of BLAST in bioinformatics? Get all the fundamentals on biology’s most widely used bioinformatics tool.

Featured
Computational Life Sciences Careers, Salaries and Resources
Careers
Downloads

Computational Life Sciences Careers, Salaries and Resources

Interested in pursuing a computational life science career? There’s a increasing need for talented computational scientists. Here’s why choosing a computational life science tech job is a good idea.

Featured
RNA-Seq Data Analysis 101: A Primer for Computational Life Scientists
Computational Life Sciences
Downloads

RNA-Seq Data Analysis 101: A Primer for Computational Life Scientists

There is no one-size-fits-all method for doing RNA-Seq, but some well-accepted guidelines exist. Learn about the best practices for RNA-Seq data analysis.

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