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张亚雯
发布日期:2023-11-10  浏览:

张亚雯:讲师

江苏省免疫学会第四届青年工作委员会委员

邮箱:yawen@ujs.edu.cn

教育经历:

2015.09-2021.06 华中农业大学,作物遗传育种,农学博士

2011.09-2015.06 福建农林大学,生物信息学,理学学士

曾获奖励:

2024年 湖北省科学技术奖二等奖(第三完成人)

2020 博士研究生国家奖学金

2018 研究生学术创新奖

科研与学术工作经历:

2023.06-至今 江苏大学国际基因组学研究中心,讲师

2023.07-至今 江苏大学 临床医学,博士后

2021.07-2023.05 华中农业大学,植物保护,博士后

研究方向:

全基因组关联分析混合模型方法

主持科研项目:

1. 国家自然科学基金青年项目,2023-01-012025-12-3130万元主持

2. 湖北省自然科学基金青年项目,2022-06-012024-06-015万元主持

3. 中国博士后科学基金面上项目,2023-11-012025-10-318万元主持

4. 2022年度湖北省博士后创新研究岗位资助,2022-10-042024-10-046万元主持

发表论文:

1. Zhang Ya-Wen#, Tamba Cox Lwaka#, Wen Yang-Jun, Li Pei, Ren Wen-Long, Ni Yuan-Li, Gao Jun, Zhang Yuan-Ming*. mrMLM v4.0.2: An R platform for multi-locus genome-wide association studies. Genomics Proteomics Bioinformatics, 2020, 18:481-487. (IF=7.69,一作,中科院1top期刊)

2. Zhang Ya-Wen, Wen Yang-Jun, Dunwell J M, Zhang Yuan-Ming*. QTL.gCIMapping.GUI v2.0: An R software for detecting small-effect and linked QTLs for quantitative traits in bi-parental segregation populations. Comput Struct Biotechnol J, 2020, 18:59-65. (IF= 7.27,一作,JCR一区)

3. Zhang Ya-Wen, Han Xue-Lian, Li Mei, Chen Ying, Zhang Yuan-Ming*. IIIVmrMLM.QEI: An effective tool for indirect detection of QTN-by-environment interactions in genome-wide association studies. Computational and structural biotechnology journal, 2024, 23: 4357-4368.(IF= 7.27,一作,JCR一区)

4. Zhao Qiong, Shi Xiao-Shi, Wang Tian, Chen Ying, Yang Rui, Mi Jiaming*, Zhang Ya-Wen*, Zhang Yuan-Ming. Identification of QTNs, QTN-by-environment interactions, and their candidate genes for grain size traits in main crop and ratoon rice. Front Plant Sci, 2023, 14: 1119218. (IF=6.63,第一通讯作者,中科院1)

5. Li Mei#, Zhang Ya-Wen#, Zhang Ze-Chang, Xiang Yu, Liu Ming-Hui, Zhou Ya-Hui, Zuo Jian-Fang, Zhang Han-Qing, Chen-Ying, Zhang Yuan-Ming*. A compressed variance component mixed model for detecting QTNs, and QTN-by-environment and QTN-by-QTN interactions in genome-wide association studies. Molecular Plant, 2022,15:630-650. (IF = 21.949,共一,中科院1top期刊;1%高被引论文;1‰热点论文)

6. Liu Jin-Yang#, Zhang Ya-Wen#, Han Xu, Zuo Jian-Fang, Zhang Zhi-Bin, Shang Hai-Hong, Song Qi-Jian, Zhang Yuan-Ming*. An evolutionary population structure model reveals pleiotropic effects of GmPDAT for traits related to seed size and oil content in soybean. J Exp Bot, 2020, 71:6988-7002. (IF=6.99,共一,中科院1top期刊)

7. Li Jie-Qin#, Tang Wei-Jie#, Zhang Ya-Wen#, Chen Kai-Ning, Wang Chen-Chen, Liu Yan-Long, Zhan Qiu-Wen, Wang Chun-Ming, Wang Shi-Bo, Xie Shang-Qian*, Wang Li-Hua*. Genome-wide association studies for five forage quality-related traits in sorghum (Sorghum bicolor L.). Front Plant Sci, 2018, 9:1146. (IF=6.63,共一,中科院1)

8. Li Mei, Zhang Ya-Wen, Xiang Yu, Liu Ming-Hui, Zhang Yuan-Ming. IIIVmrMLM: the R and C++ tools associated with 3VmrMLM, a comprehensive GWAS method for dissecting quantitative traits. Mol Plant, 2022, 15: 1251–1253. (IF=21.949,二作,中科院1top期刊)

9. Wen Yang-Jun, Zhang Ya-Wen, Zhang Jin, Feng Jian-Ying, Dunwell Jim M, Zhang Yuan-Ming*. An efficient multi-locus mixed model framework for the detection of small and linked QTLs in F2. Brief Bioinform, 2019, 20:1913-1924. (IF=13.994,二作,中科院1top期刊)

10. Han Xu, Zhang Ya-Wen, Liu Jin-Yang, Zuo Jian-Fang, Zhang Ze-Chang, Guo Liang*, Zhang Yuan-Ming*. 4D genetic networks reveal the genetic basis of metabolites and seed oil-related traits in 398 soybean RILs. Biotechnol Biofuels Bioprod, 2022, 15:92. (IF=7.67,二作,中科院1)

11. Wen Yang-Jun, Zhang Ya-Wen, Zhang Jin, Feng Jian-ying, Zhang Yuan-Ming*. The improved FASTmrEMMA and GCIM algorithms for genome-wide association and linkage studies in large mapping populations. The Crop Journal, 2020, 8:723-732. (IF=4.40,二作,中科院1top期刊)

计算机软件著作权:

1. 植物数量性状主基因+多基因混合遗传分析软件[简称SEA] v1.0:章元明(导师)、张亚雯、杜应雯、任文龙,国家计算机软件著作权登记号2017SR579357v2.0: 章元明(导师)、王靖天、张亚雯,国家计算机软件著作权登记号2021SR0560390

2. 多位点随机SNP效应混合模型全基因组关联分析软件[简称:mrMLM.GUI] v4.0:章元明(导师)、张亚雯、李沛,国家计算机软件著作权登记号2019SR0779728

3. QTL全基因组复合区间作图软件[简称:QTL.gCIMapping.GUI] v1.0:章元明(导师)、张亚雯、温阳俊、王诗博,国家计算机软件著作权登记号2018SR682083


 
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