In this case study, we hear from Shuo Zhang, a PhD student in Computer Science, who is working on predicting protein properties using sequence information. Our work, SeqProFT, is a smart new way to predict protein properties using sequence information alone. Using BlueBEAR GPU resources, we trained and evaluated SeqProFT across a wide range of … Continue reading “SeqProFT: Predict Protein Functions Using Less Computing Power”
Tag: Artificial Intelligence
SMLM Data Exploration with Nano-org and BlueBEAR
This case study highlights the ongoing collaboration between the Research Software Group, Professor Dylan Owen, and Dr Sandeep Shirgill in the development of Nano-org. Nano-org has recently been published in Nature Communications. Nano-org uses ultra-precise coordinate data to represent the nanoscale distributions of individual proteins within cells. The unique functionality provided by Nano-org supports a … Continue reading “SMLM Data Exploration with Nano-org and BlueBEAR”
Extracting tender information with BlueBEAR: tackling complex documents with NLP and image processing
In this case study we talk to Asim Abbas, PhD Researcher in Artificial Intelligence (School of Computer Science), who is using BlueBEAR to extract structured information from unstructured and ambiguous tender documents. My research focuses on extracting structured information from unstructured and ambiguous tender documents, whereas these documents present distinctive processing challenges due to their … Continue reading “Extracting tender information with BlueBEAR: tackling complex documents with NLP and image processing”