检索结果-内蒙古大学图书馆

Proteins: Structure, Function, and bioinformatics 2018年第5期86卷

作者： J. C. Gaines S. Acebes A. Virrueta M. Butler L. Regan C. S. O'Hern Program in Computational Biology and Bioinformatics Yale University New Haven Connecticut 06520 Integrated Graduate Program in Physical and Engineering Biology (IGPPEB) Yale University New Haven Connecticut 06520 Department of Mechanical Engineering and Materials Science Yale University New Haven Connecticut 06520 Department of Physics and Astronomy University of Southern California Los Angeles California 90007 Department of Molecular Biophysics & Biochemistry Yale University New Haven Connecticut 06520 Department of Chemistry Yale University New Haven Connecticut 06520 Department of Physics Yale University New Haven Connecticut 06520 Department of Applied Physics Yale University New Haven Connecticut 06520

来源：评论

学校读者我要写书评

暂无评论

AI-Based Ripeness Grading for Oil Palm Fresh Fruit Bunch in Smart Crane Grabber

引用

IOP Conference Series: Earth and Environmental Science 2020年第1期426卷

作者： Harsawardana Reza Rahutomo Bharuno Mahesworo Tjeng Wawan Cenggoro Arif Budiarto Teddy Suparyanto Don Bosco Surya Atmaja Bayu Samoedro Bens Pardamean Artificial Intelligence Research and Innovation Center for Agroindustry (AIRICA) Institut Pertanian STIPER Yogyakarta Indonesia 55281 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Mechatronics and AI Research & Development Center Biotechnic Innovation Yogyakarta Indonesia 55281 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Indonesia is one of the biggest palm oil exporters in the world. For Indonesia to stay competitive in thepalm oil industry, the harvesting and evacuating process in its oil palm plantation need to be optimized. This research introduces machinerycalled as Smart Crane Grabber. This machinery can be used for automatic harvesting and evacuation process of oil palm fresh fruit bunch. To enable automation, Smart Crane Grabber is equipped with an Artificial Intelligencesystem for automatic ripeness sorting. TheArtificial Intelligence system developed for Smart Crane Grabber achieves 71.34% accuracy by using only 400 images as preliminary training data.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Uncovering the conformational dynamics of dengue virus and its virus-like particles as novel vaccine candidates

引用

Biophysical Journal 2023年第3期122卷 508a-509a页

作者： Jan K. Marzinek Venkata Raghuvamsi Palur Gielenny Salem Fan-Chi Chen Shang-Rung Wu Peter J. Bond Day-Yu Chao Bioinformatics Institute Agency for Science Technology and Research Singapore Republic of Singapore Graduate Institute of Microbiology and Public Health College of Veterinary Medicine National Chung Hsing University Taichung City Taiwan Microbial Genomics Ph.D. Program National Chung Hsing University Taichung City Taiwan Academia Sinica Taipei Taiwan Department of Dentistry Institute of Oral Medicine National Cheng Kung University Tainan Taiwan Department of Biological Sciences National University of Singapore Singapore Republic of Singapore

来源：评论

学校读者我要写书评

暂无评论

Author Correction: SARS-CoV-2 infection engenders heterogeneous ribonucleoprotein interactions to impede translation elongation in the lungs

引用

EXPERIMENTAL AND MOLECULAR MEDICINE 2023年第12期55卷 2609-2609页

作者： Kim, Junsoo Youn, Daehwa Choi, Seunghoon Lee, Youn Woo Sumberzul, Dulguun Yoon, Jeongeun Lee, Hanju Bae, Jong Woo Noh, Hyuna On, Dain Hong, Seung-Min An, Se-Hee Jang, Hui Jeong Kim, Seo Yeon Kim, Young Been Hwang, Ji-Yeon Lee, Hyo-Jung Kim, Hong Bin Park, Jun Won Yun, Jun-Won Shin, Jeon-Soo Seo, Jun-Young Nam, Ki Taek Choi, Kang-Seuk Lee, Ho-Young Chang, Hyeshik Seong, Je Kyung Cho, Jun Center for RNA Research Institute for Basic Science (IBS) Seoul National University Seoul Republic of Korea Interdisciplinary Program in Bioinformatics Seoul National University Seoul Republic of Korea Department of Biomedical Science and Engineering Gwangju Institute of Science and Technology (GIST) Gwangju Republic of Korea Korea Mouse Phenotyping Center (KMPC) Seoul National University Seoul Republic of Korea Laboratory of Developmental Biology and Genomics Research Institute for Veterinary Science and BK 21 PLUS Program for Creative Veterinary Science Research College of Veterinary Medicine Seoul National University Seoul Republic of Korea Department of Nuclear Medicine Seoul National University Bundang Hospital Seongnam Republic of Korea School of Biological Sciences Seoul National University Seoul Republic of Korea Laboratory of Avian Diseases Research Institute for Veterinary Science and BK 21 PLUS Program for Creative Veterinary Science Research College of Veterinary Medicine Seoul National University Seoul Republic of Korea Preclinical Research Center Seoul National University Bundang Hospital Seongnam Republic of Korea Department of Periodontology Section of Dentistry Seoul National University Bundang Hospital Seongnam Republic of Korea Department of Internal Medicine Seoul National University Bundang Hospital Seoul National University College of Medicine Seongnam Republic of Korea Division of Biomedical Convergence College of Biomedical Science Kangwon National University ChunCheon Republic of Korea Laboratory of Veterinary Toxicology College of Veterinary Medicine Seoul National University Seoul Republic of Korea Severance Biomedical Science Institute Graduate School of Medical Science Brain Korea 21 Project Yonsei University College of Medicine Seoul Republic of Korea Department of Nuclear Medicine Seoul National University College of Medicine Seoul Republic of Korea Interdisciplinary Program and BIO MAX Institute Seoul National University

来源：评论

学校读者我要写书评

暂无评论

Retraction Note: A new EEG software that supports emotion recognition by using an autonomous approach

引用

Neural Computing and Applications 2024年第28期36卷 17759-17759页

作者： Munoz, Roberto Olivares, Rodrigo Taramasco, Carla Villarroel, Rodolfo Soto, Ricardo Alonso-Sánchez, María Francisca Merino, Erick de Albuquerque, Victor Hugo C. Escuela de Ingeniería Civil Informática Universidad de Valparaíso Valparaíso Chile Centro de Investigación y Desarrollo en Ingeniería en Salud Universidad de Valparaíso Valparaíso Chile Pontificia Universidad Católica de Valparaíso Valparaíso Chile Escuela de Fonoaudiología Facultad de Salud Universidad Santo Tomás Viña del Mar Chile Graduate Program in Applied Informatics Laboratory of Bioinformatics University of Fortaleza Fortaleza Brazil

来源：评论

学校读者我要写书评

暂无评论

Android-Based oil palm farmer’s income analysis to support precision agriculture

引用

AIP Conference Proceedings 2023年第1期2594卷

作者： M. P. Bimantio A. Ferhat L. Isnaini D. P. Putra T. Suparyanto B. Pardamean Department of Food and Agricultural Technology Institute of Agriculture STIPER Yogyakarta Indonesia 55281 Department of Agricultural Socio-Economics Institute of Agriculture STIPER Yogyakarta Indonesia 55281 Department of Agricultural Socio-Economics Gadjah Mada University Yogyakarta Indonesia 55281 Department of Agrotechnology Institute of Agriculture STIPER Yogyakarta Indonesia 55281 Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Bioinformatics & Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480

The purpose of this research is to create a simulator application in calculating farmer's income from the sale of fresh fruit bunches. Farmers can easily find out the outcomes based on how many kilograms of crops are sold through this application. This research was conducted in Mesuji Regency, Lampung Province, using primary data and descriptive analysis. The sampling technique utilized a proportional random sampling method and consisted of 88 oil palm farmers. The results indicated that the application made it simpler for farmers to find out their income. Farmers only needed to input the land area, the harvest number obtained on the harvest day that had been carried out, and the price of fresh fruit bunches so that they would know the estimated monthly and annual income calculations. These calculations can be used by farmers as a predicting and planning tool to avoid losses.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The metabolome of induced pluripotent stem cells reveals metabolic changes occurring in somatic cell reprogramming

引用

细胞研究（英文版） 2012年第1期22卷 168-177页

作者： Athanasia D Panopoulos Oscar Yanes SergioRuiz Yasuyuki S Kida Dinh Diep Ralf Tautenhahn Aida Herrerias Erika M Batchelder Nongluk Plongthongkum Margaret Lutz W Travis Berggren Kun Zhang Ronald M Evans Gary Siuzdak Juan Carlos Izpisua Belmonte Gene Expression Laboratory The Salk Institute for Biological Studies 10010 North Torrey Pines Road La Jolla CA 92037 USA Stem Cell Core The Salk Institute for Biological Studies 10010 North Torrey Pines Road La Jolla CA 92037 USA Department of Bioengineering Institute for Genomic Medicine and Institute of Engineering in Medicine University of California at San Diego La Jolla CA 92093 USA Gene Expression Laboratory The Salk Institute for Biological Studies 10010 North Torrey Pines Road La Jolla CA 92037 USA Howard Hughes Medical Institute The Salk Institute for Biological Studies 10010 North Torrey Pines Road La Jolla CA 92037 USA Departments of Chemistry and Molecular Biology and Scripps Center for Metabolomics and Mass Spectrometry The Scripps Research Institute La Jolla CA 92037 USA Gene Expression Laboratory The Salk Institute for Biological Studies 10010 North Torrey Pines Road La Jolla CA 92037 USA Center of Regenerative Medicine in Barcelona Dr Aiguader 88 08003 Barcelona Spain Departments of Chemistry and Molecular Biology and Scripps Center for Metabolomics and Mass Spectrometry The Scripps Research Institute La Jolla CA 92037 USA Metabolomics Plaiform of the Spanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders(CIBERDEM) University Rovira i Virgili 43007 Tarragona Spain Bioinformatics and Systems Biology Graduate Program University of California at San Diego La Jolla CA 92093 USA Center of Regenerative Medicine in Barcelona Dr Aiguader 88 08003 Barcelona Spain

Metabolism is vital to every aspect of cell function, yet the metabolome of induced pluripotent stem cells (iPSCs) remains largely unexplored. Here we report, using an untargeted metabolomics approach, that human iPSCs share a pluripotent metabolomic signature with embryonic stem cells (ESCs) that is distinct from their parental cells, and that is characterized by changes in metabolites involved in cellular respiration. Examination of cellular bioenergetics corroborated with our metabolomic analysis, and demonstrated that somatic cells convert from an oxidative state to a glycolytic state in pluripotency. Interestingly, the bioenergetics of various somatic cells correlated with their reprogramming efficiencies. We further identified metabolites that differ between iPSCs and ESCs, which revealed novel metabolic pathways that play a critical role in regulating somatic cell reprogramming. Our findings are the first to globally analyze the metabolome of iPSCs, and provide mechanistic insight into a new layer of regulation involved in inducing pluripotency, and in evaluating iPSC and ESC equivalence.

关键词： reprogramming iPS cells metabolome stem cells metabolism

来源：评论

学校读者我要写书评

暂无评论

Uncovering chromatin accessibility and cancer diagnostic potential via cell-free DNA utilization

引用

Science Bulletin 2024年第19期69卷 2987-2992页

作者： Jie Li Jiahui Chen Xin Sun Heli Yang Keyong Sun Chang Liu Yongwang Wang Mengyue Xu Xin Ji Ji Zhang Xiaojiang Wu Anqiang Wang Biao Fan Xiaolu Zhang Yue Wu Peilin Cui Junya Peng Yupei Zhao Wenming Wu Honghao Yu Zhaode Bu Jiafu Ji Xun Lan Department of Basic Medical Sciences School of MedicineTsinghua UniversityBeijing 100084China Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing) Center of Gastrointestinal CancerPeking University Cancer Hospital&InstituteBeijing 100142China Guangxi Key Laboratory of Drug Discovery and Optimization Guilin Medical UniversityGuilin 541001China Department of General Surgery Peking Union Medical College HospitalPeking Union Medical CollegeBeijing 100730China Department of Internal Medicine International Medical Services(IMS)Beijing Tiantan Hospital of Capital Medical UniversityBeijing 100070China Institute of Clinical Medicine Peking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijing 100730China Academy of Biomedical Engineering Kunming Medical UniversityKunming 650500China MOE Key Laboratory of Bioinformatics Tsinghua UniversityBeijing 100084China Peking-Tsinghua-NIBS Joint Graduate Program Tsinghua UniversityBeijing 100084China Tsinghua-Peking Joint Center for Life Sciences Tsinghua UniversityBeijing 100084China Department of Anesthesiology Affiliated Hospital of Guilin Medical UniversityGuilin 541000China Key Laboratory of Medical Biotechnology and Translational Medicine Guilin Medical UniversityGuilin 541001China State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijing 100730China Department of Gastric Surgery Zhejiang Cancer HospitalHangzhou Institute of Medicine(HIM)Chinese Academy of SciencesHangzhou 310022China The Islands Healthcare Complex-Macao Medical Center of Peking Union Medical College Hospital Macao 999078China

Gene expression patterns of tumor cells can be inferred from features of circulating cell-free DNA(cfDNA),such as histone modifications and fragmentation patterns at ***,the direct relationship between cfDNA patterns and tumor-specific chromatin accessibility has not yet been experimentally established,limiting its current application to cancer diagnosis alone.

关键词： diagnosis cancer alone

来源：评论

学校读者我要写书评

暂无评论

Whole-genome sequencing of 1,171 elderly admixed individuals from the largest Latin American metropolis (São Paulo, Brazil)

Research Square

引用

Research Square 2020年

作者： Naslavsky, Michel Scliar, Marilia Yamamoto, Guilherme Wang, Jaqueline Zverinova, Stepanka Karp, Tatiana Nunes, Kelly Ceroni, José Ricardo Carvalho, Diego Simões, Cerlos Eduardo Bozoklian, Daniel Nonaka, Ricardo Silva, Nayane Souza, Andreia Andrade, Heloísa Passos, Marília Castro, Camila Mendes-Junior, Celso Mercuri, Rafael Miller, Thiago Buzzo, José Rego, Fernanda Araújo, Nathalia Magalhaes, Wagner Mingroni-Netto, Regina Borda, Vctor Guio, Heinner Barreto, Maurício Lima-Costa, Maria Horta, Bernardo Tarazona-Santos, Eduardo Meyer, Diogo Galante, Pedro Castelli, Erick Duarte, Yeda Passos-Bueno, Maria Rita Zatz, Mayana Human Genome and Stem Cell Research Center University of São Paulo Department of Genetics and Evolutionary Biology Biosciences Institute University of São Paulo Brazil Universidade Federal de Minas Gerais Brazil University of Sao Paulo Brazil Human Genome and Stem Cell Research Center University of São Paulo Brazil Laboratory of Genome Structure and Ageing European Research Institute for the Biology of Ageing University Medical Center Groningen Netherlands Department of Genetics and Evolutionary Biology University of São Paulo Brazil Molecular Genetics and Bioinformatics Laboratory School of Medicine Sao Paulo State University Brazil Molecular Genetics and Bioinformatics Laboratory School of Medicine Sao Paulo State University Department of Pathology School of Medicine Sao Paulo State University Brazil Faculdade de Filosofia Ciências e Letras de Ribeirão Preto University of São Paulo Brazil Centro de Oncologia Molecular Hospital Sírio-Libanes Department of Biochemistry Institute of Chemistry University of São Paulo Bioinformatics Graduate program University of S Brazil Centro de Oncologia Molecular Hospital Sírio-Libanes Department of Biochemistry Institute of Chemistry University of São Paulo Brazil Centro de Oncologia Molecular Hospital Sírio-Libanes Bolivia Instituto Nacional de Salud Instituto de Saúde Coletiva Universidade Federal da Bahia Center for Data and Knowledge Integration for Health Institute Gonçalo Muniz Fundação Oswaldo Cruz Brazil Instituto de Pesquisas René Rachou Fundação Oswaldo Cruz Programa De Pós-Graduação em Saúde Pública Universidade Federal de Minas Gerais Brazil Universidade Federal de Pelotas Brazil Departamento de Genética Ecologia e Evolução Instituto de Ciências Biológicas Universidade Federal de Minas Gerais Universidad Peruana Cayetano Heredia Lima Peru Medical-Surgical Nursing Department School of Nursing University of São Paulo Epidemiology Department Public Health School University of São Paulo Brazil

As whole-genome sequencing (WGS) becomes the gold standard tool for studying population genomics and medical applications, data on diverse non-European and admixed individuals are still scarce. Here, we present a high-coverage WGS dataset of 1,171 highly admixed elderly Brazilians from a census-based cohort, providing over 76 million variants, of which ~ 2 million are absent from large public databases. WGS enabled identifying ~ 2,000 novel mobile element insertions, nearly 5 Mb of genomic segments absent from human genome reference, and over 140 novel alleles from HLA genes. We reclassified and curated nearly four hundred variant's pathogenicity assertions in genes associated with dominantly inherited Mendelian disorders and calculated the incidence for selected recessive disorders, demonstrating the clinical usefulness of the present study. Finally, we observed that whole-genome and HLA imputation could be significantly improved compared to available datasets since rare variation represents the largest proportion of input from WGS. These results demonstrate that even smaller sample sizes of underrepresented populations bring relevant data for genomic studies, especially when exploring analyses allowed only by WGS. © 2020, CC BY.

关键词： Genome

来源：评论

学校读者我要写书评

暂无评论

MetaMOPE: a web service for mobile phase determination and fast chromatography peaks evaluation for metabolomics

引用

bioinformatics Advances 2023年第1期3卷

作者： Tsai, Dong-Ming Chang, Ching-Yao Lin, Shih-Ming Kuo, Tien-Chueh Wang, San-Yuan Chen, Guan-Yuan Kuo, Ching-Hua Tseng, Yufeng Jane Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei 106216 Taiwan The Metabolomics Core Laboratory Centers of Genomic and Precision Medicine National Taiwan University Taipei 100225 Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei 106216 Taiwan Master Program for Clinical Pharmacogenomics and Pharmacoproteomics School of Pharmacy Taipei Medical University Taipei 110301 Taiwan Forensic Medicine College of Medicine National Taiwan University Taipei 100225 Taiwan School of Pharmacy College of Medicine National Taiwan University Taipei 100225 Taiwan

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：