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Institution

University of Malaya

EducationKuala Lumpur, Malaysia
About: University of Malaya is a education organization based out in Kuala Lumpur, Malaysia. It is known for research contribution in the topics: Population & Fiber laser. The organization has 25087 authors who have published 51491 publications receiving 1036791 citations. The organization is also known as: UM & Universiti Malaya.


Papers
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Journal ArticleDOI
TL;DR: It is demonstrated that biallelic PALB2 mutations cause a new subtype of Fanconi anemia, FA-N, and, similar to bIALlelic BRCA2 mutations, confer a high risk of childhood cancer.
Abstract: PALB2 was recently identified as a nuclear binding partner of BRCA2. Biallelic BRCA2 mutations cause Fanconi anemia subtype FA-D1 and predispose to childhood malignancies. We identified pathogenic mutations in PALB2 (also known as FANCN) in seven families affected with Fanconi anemia and cancer in early childhood, demonstrating that biallelic PALB2 mutations cause a new subtype of Fanconi anemia, FA-N, and, similar to biallelic BRCA2 mutations, confer a high risk of childhood cancer.

609 citations

Journal ArticleDOI
Mark Chaisson1, Mark Chaisson2, Ashley D. Sanders, Xuefang Zhao3, Xuefang Zhao4, Ankit Malhotra, David Porubsky5, David Porubsky6, Tobias Rausch, Eugene J. Gardner7, Oscar L. Rodriguez8, Li Guo9, Ryan L. Collins4, Xian Fan10, Jia Wen11, Robert E. Handsaker4, Robert E. Handsaker12, Susan Fairley13, Zev N. Kronenberg1, Xiangmeng Kong14, Fereydoun Hormozdiari15, Dillon Lee16, Aaron M. Wenger17, Alex Hastie, Danny Antaki18, Thomas Anantharaman, Peter A. Audano1, Harrison Brand4, Stuart Cantsilieris1, Han Cao, Eliza Cerveira, Chong Chen10, Xintong Chen7, Chen-Shan Chin17, Zechen Chong10, Nelson T. Chuang7, Christine C. Lambert17, Deanna M. Church, Laura Clarke13, Andrew Farrell16, Joey Flores19, Timur R. Galeev14, David U. Gorkin20, David U. Gorkin18, Madhusudan Gujral18, Victor Guryev6, William Haynes Heaton, Jonas Korlach17, Sushant Kumar14, Jee Young Kwon21, Ernest T. Lam, Jong Eun Lee, Joyce V. Lee, Wan-Ping Lee, Sau Peng Lee, Shantao Li14, Patrick Marks, Karine A. Viaud-Martinez19, Sascha Meiers, Katherine M. Munson1, Fabio C. P. Navarro14, Bradley J. Nelson1, Conor Nodzak11, Amina Noor18, Sofia Kyriazopoulou-Panagiotopoulou, Andy Wing Chun Pang, Yunjiang Qiu20, Yunjiang Qiu18, Gabriel Rosanio18, Mallory Ryan, Adrian M. Stütz, Diana C.J. Spierings6, Alistair Ward16, Anne Marie E. Welch1, Ming Xiao22, Wei Xu, Chengsheng Zhang, Qihui Zhu, Xiangqun Zheng-Bradley13, Ernesto Lowy13, Sergei Yakneen, Steven A. McCarroll12, Steven A. McCarroll4, Goo Jun23, Li Ding24, Chong-Lek Koh25, Bing Ren18, Bing Ren20, Paul Flicek13, Ken Chen10, Mark Gerstein, Pui-Yan Kwok26, Peter M. Lansdorp27, Peter M. Lansdorp6, Peter M. Lansdorp28, Gabor T. Marth16, Jonathan Sebat18, Xinghua Shi11, Ali Bashir8, Kai Ye9, Scott E. Devine7, Michael E. Talkowski12, Michael E. Talkowski4, Ryan E. Mills3, Tobias Marschall5, Jan O. Korbel13, Evan E. Eichler1, Charles Lee21 
TL;DR: A suite of long-read, short- read, strand-specific sequencing technologies, optical mapping, and variant discovery algorithms are applied to comprehensively analyze three trios to define the full spectrum of human genetic variation in a haplotype-resolved manner.
Abstract: The incomplete identification of structural variants (SVs) from whole-genome sequencing data limits studies of human genetic diversity and disease association. Here, we apply a suite of long-read, short-read, strand-specific sequencing technologies, optical mapping, and variant discovery algorithms to comprehensively analyze three trios to define the full spectrum of human genetic variation in a haplotype-resolved manner. We identify 818,054 indel variants (<50 bp) and 27,622 SVs (≥50 bp) per genome. We also discover 156 inversions per genome and 58 of the inversions intersect with the critical regions of recurrent microdeletion and microduplication syndromes. Taken together, our SV callsets represent a three to sevenfold increase in SV detection compared to most standard high-throughput sequencing studies, including those from the 1000 Genomes Project. The methods and the dataset presented serve as a gold standard for the scientific community allowing us to make recommendations for maximizing structural variation sensitivity for future genome sequencing studies.

606 citations

Journal ArticleDOI
TL;DR: In this paper, the authors reviewed the co-pyrolysis process through several points of view, including the process mechanism, feedstock, exploration on co- pyrolyisation studies, co-PyROlysis phenomena, characteristics of byproducts, and economic assessment.

605 citations

Journal ArticleDOI
TL;DR: In this article, the authors explored the influences of the active metal, support, promoter, preparation methods, calcination temperature, reducing environment, particle size and reactor choice on catalytic activity and carbon deposition for the dry reforming of methane.
Abstract: This review will explore the influences of the active metal, support, promoter, preparation methods, calcination temperature, reducing environment, particle size and reactor choice on catalytic activity and carbon deposition for the dry reforming of methane Bimetallic (Ni−Pt, Ni−Rh, Ni−Ce, Ni−Mo, Ni−Co) and monometallic (Ni) catalysts are preferred for dry reforming compared to noble metals (Rh, Ru and Pt) due to their low-cost Investigation of support materials indicated that ceria−zirconia mixtures, ZrO2 with alkali metals (Mg2+, Ca2+, Y2+) addition, MgO, SBA-15, ZSM-5, CeO2, BaTiO3 and Ca08Sr02TiO3 showed improved catalytic activities and decreased carbon deposition The modifying effects of cerium (Ce), magnesium (Mg) and yttrium (Y) were significant for dry reforming of methane MgO, CeO2 and La2O3 promoters for metal catalysts supported on mesoporous materials had the highest catalyst stability among all the other promoters Preparation methods played an important role in the synthesis of smaller particle size and higher dispersion of active metals Calcination temperature and treatment duration imparted significant changes to the morphology of catalysts as evident by XRD, TPR and XPS Catalyst reduction in different environments (H2, He, H2/He, O2/He, H2−N2 and CH4/O2) indicated that probably the mixture of reducing agents will lead to enhanced catalytic activities Smaller particle size (

593 citations

Journal ArticleDOI
TL;DR: This paper defines MCC, explains its major challenges, discusses heterogeneity in convergent computing and networking, and divides it into two dimensions, namely vertical and horizontal.
Abstract: The unabated flurry of research activities to augment various mobile devices by leveraging heterogeneous cloud resources has created a new research domain called Mobile Cloud Computing (MCC). In the core of such a non-uniform environment, facilitating interoperability, portability, and integration among heterogeneous platforms is nontrivial. Building such facilitators in MCC requires investigations to understand heterogeneity and its challenges over the roots. Although there are many research studies in mobile computing and cloud computing, convergence of these two areas grants further academic efforts towards flourishing MCC. In this paper, we define MCC, explain its major challenges, discuss heterogeneity in convergent computing (i.e. mobile computing and cloud computing) and networking (wired and wireless networks), and divide it into two dimensions, namely vertical and horizontal. Heterogeneity roots are analyzed and taxonomized as hardware, platform, feature, API, and network. Multidimensional heterogeneity in MCC results in application and code fragmentation problems that impede development of cross-platform mobile applications which is mathematically described. The impacts of heterogeneity in MCC are investigated, related opportunities and challenges are identified, and predominant heterogeneity handling approaches like virtualization, middleware, and service oriented architecture (SOA) are discussed. We outline open issues that help in identifying new research directions in MCC.

589 citations


Authors

Showing all 25327 results

NameH-indexPapersCitations
Diederick E. Grobbee1551051122748
Intae Yu134137289870
Ovsat Abdinov12986478489
Jyothsna Rani Komaragiri129109782258
Odette Benary12884474238
Paul M. Vanhoutte12786862177
Irene Vichou12676272520
Ian O. Ellis126105175435
Louisa Degenhardt126798139683
Matthew Jones125116196909
Andrius Juodagalvis118106967138
Martin Ravallion11557055380
R. St. Denis11292165326
Xiao-Ming Chen10859642229
A. Yurkewicz10651451537
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202391
2022418
20213,698
20203,646
20193,239
20183,203