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演讲摘要：In the field of genome assembly, through scaffolding algorithms, a more complete and contiguous reference genome can be obtained, which is the cornerstone of genomic research. Scaffolding algorithms typically utilize the alignments between contigs and sequencing data (reads) to determine the orientation and order among contigs and to produce longer scaffolds, which are helpful for genomic downstream analysis. We present a scaffolding algorithm based on long reads and contig classification (SLR). Through the alignment information of long reads and contigs, SLR classifies the contigs into unique contigs and ambiguous contigs. Next, SLR uses only unique contigs to produce draft scaffolds. Finally, SLR inserts the ambiguous contigs into the draft scaffolds and produces the final scaffolds. We compare SLR to three popular scaffolding tools, and the experimental results show that SLR can produce better results in terms of accuracy and completeness.
讲者简介：博士，副教授，博士生导师。近年来主要从事序列组装、结构变异检测、深度学习等方面的研究。目前，主持国家自然科学基金面上项目1项和省级项目1项、主持完成国家自然科学青年基金1项、作为主要人员参与完成国家自然科学基金项目4项、参与完成省部级科研项目4项，获得省级自然科学二等奖1项。在国际期刊《Bioinformatics》、《IEEE/ACM Transactions on Computational Biology and Bioinformatics》、《BMC Bioinformatics》以及国际学术会议BIBM、ISBRA等上发表学术论文20余篇。获得ACM SIGBIO优秀博士论文奖、省级青年骨干教师等荣誉。
第五届中国计算机学会生物信息学会议
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