Enhancing bioinformatic data analysis with advanced tools and technologies

Bioinformatic analysis of large-scale biological data sets is associated with many challenges such as how to store your data,  how to handle it and how to analyse it appropriately. As a bioinformatics service provider, Fios Genomics can provide solutions to these and numerous other challenges by exploiting some of the advanced tools and technologies that we work with. Below you will find a list of examples detailing how Fios Genomics can apply advanced tools and technologies to your data analysis: 

Artificial intelligence and machine learning 

Advanced technologies such as artificial intelligence (AI) and machine learning (ML) can provide incredible insights or predictions when working with biological data sets. At Fios Genomics, we have significant experience incorporating machine learning tools into our data analyses. For instance, to help predict which patients may be more likely to respond to a treatment, or to enhance pre-clinical discovery. More recently we have been working with clients using large language models (LLMs) to exploit the huge potential of AI in bioinformatics research. AI and ML are just two examples of the advanced tools and technologies we can use to further your research and development processes. 

Using the correct tools for the job 

Whether you have generated RNA-sequencing data, whole genome sequencing, whole exome sequencing, proteomics, metabolomics, 16S microbiome sequencing, or whether you are investigating specific biomarkers in a trial cohort, we have experience in handling all these types of data. Therefore, we appreciate how crucial it is to apply the correct tools which have been developed for use with specific types of data. Further, we appreciate the differences in performance and computational optimisation of various bioinformatic tools and technologies. This appreciation allows us to apply the best approaches in more nuanced circumstances. To see some examples of the breadth of data types that we have worked with and some of the advanced tools and technologies that we work with, browse our blog posts and case studies. 

Research, development and training 

Our bioinformatics staff dedicate time towards training and development of their skills as well as to understanding new tools and technologies. This individual learning complements the work of our well established and dynamic research and development team, who help us harness new tools and technologies into our processes and workflows. The result of this training and development is that we can offer our expertise to clients and can apply up-to-date, cutting edge tools and technologies to data analysis. Our staff are highly skilled, experienced and talented, and can push the boundaries of bioinformatics application, to our clients’ benefit. 

Publicly available data 

With the explosion of advanced sequencing technologies and publicly available data sets,  various new databases have sprung up. These provide a repository for study leaders to deposit their data sets, and provide a library of data sets to others who could use the data in their own research setting. While it’s great that there is a growing availability of all types of data sets, there are many challenges in using appropriate tools to search, identify, access, store and analyse the data. At Fios Genomics, we have an optimised method for searching appropriate databases, identifying relevant data sets and analysing those data sets for our clients. This makes it far easier for our clients to effectively make use of the huge numbers of data sets that are now publicly available. If that sounds interesting, why not learn more about our data landscaping and mining capabilities?

Need more information? 

If you would like to know more about how Fios Genomics can support your particular research and development process, then we would love to hear from you. We have been providing bioinformatics services for 16 years and have an in-depth knowledge of many advanced tools and technologies, including AI and machine learning. Please use the form below to get in touch. We are always happy to advise on the most suitable tools to help answer your research questions. 

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Author: Colin Shepherd, Scientific Editor, Fios Genomics

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