BC Platforms, a provider of genomic data management and analytics, has announces that Pfizer Finland will be using its technology solutions and research platform, including BCRQUEST.COM, to study data in cardiovascular diseases.
Some 44 per cent of life science professionals are using or experimenting with AI and deep learning, while 94 per cent expect an increase in use of machine learning within two years
Genomic sequencing may be about to get a lot faster with the application of optical co-processing technologies that are being deployed to accelerate sequence alignment – a technique that is necessary to establish functional, structural, or evolutionary relationships between the sequences
Geneformics, a provider of genomics IT infrastructures designed on advance the accessibility of transfer, storage and archiving of Next Generation Sequencing (NGS) data, has announced Geneformics D, a distributed cloud compression solution for genomics data.
Elsevier has announced that applications and nominations for The Hive, its innovation hub for biotech and pharmaceutical startups, are now open
The demand in Next Generation Sequencing (NGS) technology shows no signs of slowing down as market research firm BCC Research predicts that the clinical NGS market will increase to more than $10.5 Billion by 2022
Illumina has announced an expanded partnership with Integrated DNA Technologies (IDT) to develop solutions for next-generation sequencing (NGS) library preparation multiplexing and a co-marketing agreement that links Illumina library prep with the IDT Exome Enrichment
Building a Smart Laboratory 2018 highlights the importance of adopting smart laboratory technology, as well as pointing out the challenges and pitfalls of the process
Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory
This chapter will consider the different classes of instruments and computerised instrument systems to be found in laboratories and the role they play in computerised experiments and sample processing – and the steady progress towards all-electronic laboratories.
This chapter considers how the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Knowledge management describes the processes that bring people and information together to address the acquisition, processing, storage, use, and re-use of knowledge to develop understanding and to create value
This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment