Xiaohan Li
Southeast University
9 Papers
1 Citations
Xiaohan Li is an academic researcher from Southeast University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 1, co-authored 3 publications.
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Papers
PlantcircBase 7.0: Full-length transcripts and conservation of plant circRNAs
TL;DR: Wang et al. as mentioned in this paper developed a comprehensive plant circRNA database (PlantcircBase), which contains 171,118 circRNAs from 21 plant species and introduced a new parameter, plant circ RNA confidence level (PCCL), to measure the identity reliability of each circRNA based on experimental validation results and the number of references that support the circRNA.
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Integrated analysis of mRNA and extrachromosomal circular DNA profiles to identify thepotential mRNA biomarkers in breast cancer.
TL;DR: In this paper , a total number of 161,062 eccDNA ranging from 33 bp to 54229 bp were detected with a median size of 1143 bp, distributed on all chromosomes and enriched on chromosome 20.
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Developmental deficits of MGE-derived interneurons in the Cntnap2 knockout mouse model of autism spectrum disorder
Noorya Yasmin Ahmed,Rhys Knowles,Lixi Liu,Yimin Yan,Xiaohan Li,Ulrike Schumann,Yumeng Wang,Yovina Sontani,Nathan B. Reynolds,Riccardo Natoli,Jiayu Wen,Isabel del Pino,Da Mi,Nathalie Dehorter +13 more
TL;DR: In this article , the authors track striatal developing interneurons and elucidate the molecular and physiological alterations in the Cntnap2 knockout mouse model, which greatly contribute to the ASD pathogenesis.
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FLED: a full-length eccDNA detector for long-reads sequencing data.
Fuyu Li,Wenlong Ming,Wenxiang Lu,Ying Wang,Xiaohan Li,Xianjun Dong,Yunfei Bai +6 more
TL;DR: A novel algorithm was developed, called Full-Length eccDNA Detection (FLED), to reconstruct the sequence of eccDNAs based on the strategy that combined rolling circle amplification and nanopore long-reads sequencing technology, and enables unbiased reconstruction of full-length eccDNA sequences.
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Identifying cancer specific signaling pathways based on the dysregulation between genes.
TL;DR: Pathway Analysis of Intergenic Regulation (PAIGR) as discussed by the authors was proposed to identify pathways with dysregulation between genes and compared the performance of this method with four existing methods on four colorectal cancer (CRC) datasets.
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