Yanxiang Chen

TL;DR: This work provides an updated assembly version of the 2008 Asian genome using SOAPdenovo2, a new algorithm design that reduces memory consumption in graph construction, resolves more repeat regions in contig assembly, increases coverage and length in scaffold construction, improves gap closing, and optimizes for large genome.

TL;DR: The k-mer frequency analysis can be used as a general and assembly-independent method for estimating genomic characteristics, which can improve the understanding of a species genome, help design the sequencing strategy of genome projects, and guide the development of assembly algorithms.

TL;DR: A detailed comparison of the two major classes of assembly algorithms: overlap-layout-consensus and de-bruijn-graph is made, from how they match the Lander-Waterman model, to the required sequencing depth and reads length.

TL;DR: This research presents a novel probabilistic approach to estimating the response of the immune system to laser-spot assisted, 3D image recognition.

TL;DR: A software package, pIRS (profile-based Illumina pair-end reads simulator), which simulates Illumina reads with empirical Base-Calling and GC%-depth profiles trained from real re-sequencing data, fits the properties of real sequencing data better than existing simulators.