Ruibang Luo

Abstract DNA has emerged as a compelling archival storage medium, offering unprecedented information density and millennia-scale durability. Despite its promise, DNA-based data storage faces critical challenges due to error-prone processes during DNA synthesis, storage, and sequencing. In this study, we introduce Gungnir, a codec system using the proof-of-work idea to address substitution, insertion, and deletion errors in a sequence.

Genomic sequencing of multicystic mesothelioma finds cohesin complex mutations associated with disease recurrence in patients referred for cytoreductive surgery and HIPEC Multicystic mesothelioma (MCM) is an uncommon tumour arising from mesothelial cells [1,2,3,4,5,6]. It is almost always encountered in the peritoneum, …

Abstract Deconvolution algorithms estimate cell-type abundances from tissue-level data, enabling systematic cellular analysis of large cohorts. However, most deconvolution algorithms are specifically designed for single-omics data, thereby limiting their generalizability and scalability for various omics data from different cohorts.