12 Jul 2023
An overwhelming amount of data is a nice problem to have, but a hard one to manage well. Dan & Liesbeth talk about the opportunities, unique challenges, and areas for growth at the intersection of biology and data science.
Read More03 Jul 2023
It has only become easier to apply artificial intelligence (AI) and machine learning (ML) to biological questions – even without a deep knowledge of data science. However, with this great potential, comes some potential pitfalls.
Read More24 Mar 2023
“I have been passionate about data my whole life, all types of data,” says Yves Muyssen, COO and Team Lead for Data Management at BioLizard. “Be it geospatial data, consumer data or lifesciences data, the power of data and information in combination with its complexity has always been intriguing to me.”
Read More09 Mar 2023
Have you stopped in the middle of manually processing complex biological data within an Excel sheet, and thought to yourself, there must be a better way to do this? Well, if you have, you’re right. There is a better way.
Read More20 Dec 2022
A great data management plan means you barely have to think about it anymore. This blog discusses the benefits of building the perfect data management plan and planning for future efficiency and success in its maintenance.
Read More13 Dec 2022
In the field of life sciences, it can be difficult to come to a common understanding of what data management means, and to put effective data management strategies into practice. In this blog, we’ll guide you through exactly how we accomplish that.
Read More07 Dec 2022
Poor data management can take time away from your real focus at work. In this blog, we are going to cover the what, why, and how of data management, so that you can move toward implementing a data management plan that will work for you.
Read More24 Nov 2022
The difference between correlation and causation is an important consideration to keep in mind when analysing huge datasets, two points of information may correlate, but it does not necessarily mean that one has any influence on the other.
Read More16 Nov 2022
Back in the day, microbiome analysis was a very slow research method. But in microbial research today, a lot has changed. We now use modern approaches which provide much more data than before information. In this blog, we look at how microbiome research is performed and introduce methods to streamline your data analysis process.
Read More03 Nov 2022
Microbiome analyses have shed a lot of light on a wide range of research areas, from investigating how soil microbiomes affect crop yields, to understanding the importance of microbes in aquatic environments, and more. Here, we highlight some of the main fields of research where microbiome analysis has a significant impact.
Read More21 Sep 2022
Just like we use different technologies to answer different scientific questions in the laboratory, different datasets have different needs in regard to programming languages that are best suited for their analysis.
Read More20 Sep 2022
Using effective software is often the keystone that can bring research in drug discovery or disease treatment to the next level. But depending on the project and the type of data, there will be different bioinformatic requirements and priorities.
Read More23 Aug 2022
As a team of computational biology and AI enthusiasts, BioLizard uses advanced computational methods to generate biological knowledge.
Read More23 Aug 2022
Although a quick read through the many success stories of AlphaFold could create the impression that experimental structure determination is now a thing of the past, this is not completely the case.
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