Use Case

BioTech

As a discipline, Life Sciences has long been at the forefront of data science. Now, machine learning (ML) and artificial intelligence (AI) adoption is surging in the biotech industry. But modern biotech has complex and expensive R&D requirements. Biotech firms must abide by an independent regulatory process to ensure the safety and efficacy of any findings as well.

Data Overflow in Biotech Processes

What happens when a biotechnology company accelerates faster than the capacity of their data management tools? This is a common issue across the biotech industry. Delayed, dated, and dilatory tools are leaving data scientists in the biotech field struggling to keep up with competitors and business demands. This has resulted in highly-skilled experts spending their time juggling scripts and analyses instead of innovating and using technology as a force-multiplier for their biotech business.

Bench scientists know that the scientific process requires the result to be reproducible to be accepted. This is why data platforms that promote reproducibility are essential to giving biotech industry leaders reliable data foundations. Currently—despite their best efforts—data scientists often end up using one-off workflows that are not reproducible at all. This raises R&D costs, delays regulatory processes, and prevents new biotech solutions from getting to the market.

What's included in the kit:

  • Pachyderm GATK Tutorial
  • NCBI Research Paper: Container-based bioinformatics with Pachyderm
  • Case-study: Automating Genomic Data Science at AgBiome
  • Pachyderm Enterprise Solution Brief

Download the Kit

Even a simple change to the underlying data can wreak havoc on reproducible data science.

Pachyderm Data Pipelines for Streamlined Biotech Processes

What if data management was the easiest part of your biotech development processes? What if you had access to tools that supported your progress rather than creating time-consuming frustrations? What if you could finally focus on moving the biotech industry forward instead of fighting data setbacks? Pachyderm knows that you deserve better.

Our data science platform is designed for compatibility with even the most data-heavy biotech company processes. Pachyderm combines the power of data lineage with advanced, easy-to-use tools. This helps experts in the biotech industry create scalable end-to-end AutoML/AI data pipelines. This system of organization brings the crucial element of reproducibility back to data science. With the click of a button, you can see the exact data used to train a model. You can also examine versions of your work to determine the exact source of successes and failures.

Speed and Structure for Biotech Data Clarity

Breakthroughs in the biotech industry are time-sensitive and highly important, which is why you need fast technology that works with you. The data scientists at Pachyderm know that every second counts. Whether it’s sharing CDISC, or other biological data, Pachyderm makes it easier than ever for scientists to decipher relevant information. Forget the days of mapping, decoding, and translating unstandardized data. Instead, spend your time and focus on creating biotech breakthroughs.

Staying Ahead of Rapid Biotech Data Evolution and Reporting

The biotech industry changes continuously, which can make keeping up with the available data a challenge. This leaves Biotech scientists sorting through emerging data while developing their work and adapting to new information. What if there was a better solution to data collection and reporting?

Automated data pipelines provide an enduring solution to painstaking data management processes. When automating your data pipeline, your Biotech breakthrough will be broken down step-by-step. This eliminates the risk of a small, early-stage error or oversight throwing off your results. Instead, you can access all of the data in your production process with clearly defined stages. Pachyderm data pipelines help you flawlessly create, report, and document your Biotech algorithms to help the industry move forward.

Precision in Biotech Data

Your biotech company works hard to develop better medicine, more accurate results, and detailed solutions. This requires access to precise data and the latest tools. Artificial intelligence-supported software, virtual molecular models, and open innovation are currently finding their way into research laboratories. Pachyderm automatically provides users with a full history across the entire journey of the data, code, models, and relationships between them. Scientists can easily and instantly reproduce results, development workflows, and provide an iron-clad step-by-step playback of the entire process that can stand up to any level of scrutiny.

How Pachyderm Can Help Biotech Data Management and Development

We know first hand how to help biotech companies do data science better. In the case of Agbiome, Pachyderm helped automate tasks so they can be completed more quickly, affordably, and accurately than before.

What truly sets Pachyderm apart is our unique ability to provide data lineage with iterative, easy-to-assemble pipelines. And with Pachyderm, data scientists can use and succeed with whatever languages and frameworks they choose. To get started, talk with one of our experts, connect with us on slack, or simply start using the Pachyderm platform for free.