Feasibility of developing an algorithm to diagnose clonality in lymphoid proliferations using next generation sequencing.

生物医学科学领域增长的主要领域之一是大规模临床和病理数据集的生成和分析。这种分析需要熟练的个人，对医疗保健行业和患者群体的需求提出的生物学和临床问题有深入的了解。Univ8 Genomics Ltd （Univ8）正在开发一系列下一代测序（NGS）测试和相关的生物信息学管道，用于分析来自多种肿瘤类型的DNA。该项目旨在培养昆士兰大学一名有才华的博士后研究员，开发深度学习算法，对各种癌症的临床NGS数据进行高质量的分析。此外，第二位科学家将获得Univ8与欧洲各地学术/临床机构合作的数据，以进一步完善算法，并基于Univ8的NGS检测范围产生的数据，为多种癌症类型创建新的诊断分类工具。该项目将在Univ8的生物信息学家和合作者的支持下，为借调的研究人员提供独特的临床和生物数据集，以开发新的生物信息技能，这将极大地帮助研究人员未来的职业生涯，因为它将补充他现有的生物和实验室技能。反过来，这将为第二研究员和QUB带来高影响力的出版物和潜在的REF影响案例。

One of the main areas of growth in the biomedical sciences sector is the generation and analysis of large-scale clinical and pathological datasets. Such analyses require skilled individuals with deep knowledge of the biology and clinical questions posed in the healthcare industry and the needs of the patient population.Univ8 Genomics Ltd (Univ8) is developing a range of next-generation sequencing (NGS) tests and associated bioinformatics pipelines for analysis of DNA from multiple tumour types. This project aims to second a talented post-doctoral research fellow from QUB to develop deep-learning algorithms to perform high-quality analysis of clinical NGS data in a wide range of cancers.Additionally, the seconded scientist will have access to data from collaborations between Univ8 and academic/clinical institutions across Europe to further refine the algorithms and create new diagnostic classification tools for multiple cancer types, based on the data generated with Univ8's range of NGS assays.The project will provide unique access to clinical and biological datasets to the seconded researcher, with support from Univ8's bioinformaticians and collaborators to develop new bioinformatic skills, which can significantly help the future career of the researcher as it will complement his existing biological and laboratory skills. This in turn will result in high impact publications and potentially REF impact cases for the seconded researcher and QUB.