CrossOmics aims to build scalable and robust analysis pipelines for biological sequencing data. We currently have two pipelines, and we are continuing to develop more. 

• Krinon.  Krinon is a new scalable RNA-alignment algorithm. Its development includes several stages. In the first stage, we designed new data structures and dynamic programming algorithms. As a result, we are able to reproduce alignments that are 99.5% identical to those produced by STAR, while achieving a 2–5 times speedup. In the next stage, we plan to design algorithms for transcript reconstruction and long-read RNA-seq analysis. 

• Lotus. Lotus is a single-cell RNA-seq analysis pipeline. The foundation of Lotus is built upon Scanpy. However, we introduced a new clustering and visualization framework based on a core-layered structure. The goal of this new framework is to make clustering more accurate, robust, and reproducible. In addition to the new algorithms, another major goal of Lotus is to make single-cell analysis more accessible. For example, enabling Jiapeng’s wife, a pure immunologist, to perform single-cell analysis independently. Lotus is already a complete pipeline, but we are still making efforts to further and significantly improve it.