Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Jia-Ming Chang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract During COVID-19 pandemic, cases of postvaccination infections and restored SARS-CoV-2 virus have increased after full vaccination, which might be contributed to by immune surveillance escape or virus rebound. Here, artificial linear 9-mer hu
Externí odkaz:
https://doaj.org/article/5a2771dbeea94b29b0e500275db20e7c
Autor:
Shih-Yao Chen, Chung-Teng Wang, Tang-Hsiu Huang, Jeng-Liang Tsai, Hao-Tien Wang, Yi-Ting Yen, Yau-Lin Tseng, Chao-Liang Wu, Jia-Ming Chang, Ai-Li Shiau
Publikováno v:
Cells, Vol 13, Iss 18, p 1597 (2024)
Lung cancer remains a formidable health challenge due to its high mortality and morbidity rates. Non-small cell lung cancer (NSCLC) constitutes approximately 85% of all lung cancer cases, with small cell lung cancer (SCLC) accounting for the remainde
Externí odkaz:
https://doaj.org/article/168b9edf4b8c44bfb117acb81587615b
Autor:
Jhen Yuan Yang, Jia-Ming Chang
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S10, Pp 1-15 (2022)
Abstract Background Recent increasing evidence indicates that three-dimensional chromosome structure plays an important role in genomic function. Topologically associating domains (TADs) are self-interacting regions that have been shown to be a chrom
Externí odkaz:
https://doaj.org/article/f8432215efd744449986f19f08a4dc70
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-8 (2022)
Abstract Background With the development of HiC technology, more and more HiC sequencing data have been produced. Although there are dozens of packages that can turn sequencing data into contact maps, there is no appropriate tool to query contact map
Externí odkaz:
https://doaj.org/article/3928b420c6ba486ba8786696fbc1b742
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S6, Pp 1-16 (2020)
Abstract Background Biological data has grown explosively with the advance of next-generation sequencing. However, annotating protein function with wet lab experiments is time-consuming. Fortunately, computational function prediction can help wet lab
Externí odkaz:
https://doaj.org/article/1d53b8a4268f4d1a938689a262ec16d4
MS2CNN: predicting MS/MS spectrum based on protein sequence using deep convolutional neural networks
Publikováno v:
BMC Genomics, Vol 20, Iss S9, Pp 1-10 (2019)
Abstract Background Tandem mass spectrometry allows biologists to identify and quantify protein samples in the form of digested peptide sequences. When performing peptide identification, spectral library search is more sensitive than traditional data
Externí odkaz:
https://doaj.org/article/8f9acb79a475453baa6d234bf3f73c49
Publikováno v:
Asian Journal of Surgery, Vol 45, Iss 2, Pp 826-827 (2022)
Externí odkaz:
https://doaj.org/article/12a4faba45f94bcd811d5deadea105b1
Autor:
Naihui Zhou, Yuxiang Jiang, Timothy R. Bergquist, Alexandra J. Lee, Balint Z. Kacsoh, Alex W. Crocker, Kimberley A. Lewis, George Georghiou, Huy N. Nguyen, Md Nafiz Hamid, Larry Davis, Tunca Dogan, Volkan Atalay, Ahmet S. Rifaioglu, Alperen Dalkıran, Rengul Cetin Atalay, Chengxin Zhang, Rebecca L. Hurto, Peter L. Freddolino, Yang Zhang, Prajwal Bhat, Fran Supek, José M. Fernández, Branislava Gemovic, Vladimir R. Perovic, Radoslav S. Davidović, Neven Sumonja, Nevena Veljkovic, Ehsaneddin Asgari, Mohammad R.K. Mofrad, Giuseppe Profiti, Castrense Savojardo, Pier Luigi Martelli, Rita Casadio, Florian Boecker, Heiko Schoof, Indika Kahanda, Natalie Thurlby, Alice C. McHardy, Alexandre Renaux, Rabie Saidi, Julian Gough, Alex A. Freitas, Magdalena Antczak, Fabio Fabris, Mark N. Wass, Jie Hou, Jianlin Cheng, Zheng Wang, Alfonso E. Romero, Alberto Paccanaro, Haixuan Yang, Tatyana Goldberg, Chenguang Zhao, Liisa Holm, Petri Törönen, Alan J. Medlar, Elaine Zosa, Itamar Borukhov, Ilya Novikov, Angela Wilkins, Olivier Lichtarge, Po-Han Chi, Wei-Cheng Tseng, Michal Linial, Peter W. Rose, Christophe Dessimoz, Vedrana Vidulin, Saso Dzeroski, Ian Sillitoe, Sayoni Das, Jonathan Gill Lees, David T. Jones, Cen Wan, Domenico Cozzetto, Rui Fa, Mateo Torres, Alex Warwick Vesztrocy, Jose Manuel Rodriguez, Michael L. Tress, Marco Frasca, Marco Notaro, Giuliano Grossi, Alessandro Petrini, Matteo Re, Giorgio Valentini, Marco Mesiti, Daniel B. Roche, Jonas Reeb, David W. Ritchie, Sabeur Aridhi, Seyed Ziaeddin Alborzi, Marie-Dominique Devignes, Da Chen Emily Koo, Richard Bonneau, Vladimir Gligorijević, Meet Barot, Hai Fang, Stefano Toppo, Enrico Lavezzo, Marco Falda, Michele Berselli, Silvio C.E. Tosatto, Marco Carraro, Damiano Piovesan, Hafeez Ur Rehman, Qizhong Mao, Shanshan Zhang, Slobodan Vucetic, Gage S. Black, Dane Jo, Erica Suh, Jonathan B. Dayton, Dallas J. Larsen, Ashton R. Omdahl, Liam J. McGuffin, Danielle A. Brackenridge, Patricia C. Babbitt, Jeffrey M. Yunes, Paolo Fontana, Feng Zhang, Shanfeng Zhu, Ronghui You, Zihan Zhang, Suyang Dai, Shuwei Yao, Weidong Tian, Renzhi Cao, Caleb Chandler, Miguel Amezola, Devon Johnson, Jia-Ming Chang, Wen-Hung Liao, Yi-Wei Liu, Stefano Pascarelli, Yotam Frank, Robert Hoehndorf, Maxat Kulmanov, Imane Boudellioua, Gianfranco Politano, Stefano Di Carlo, Alfredo Benso, Kai Hakala, Filip Ginter, Farrokh Mehryary, Suwisa Kaewphan, Jari Björne, Hans Moen, Martti E.E. Tolvanen, Tapio Salakoski, Daisuke Kihara, Aashish Jain, Tomislav Šmuc, Adrian Altenhoff, Asa Ben-Hur, Burkhard Rost, Steven E. Brenner, Christine A. Orengo, Constance J. Jeffery, Giovanni Bosco, Deborah A. Hogan, Maria J. Martin, Claire O’Donovan, Sean D. Mooney, Casey S. Greene, Predrag Radivojac, Iddo Friedberg
Publikováno v:
Genome Biology, Vol 20, Iss 1, Pp 1-23 (2019)
Abstract Background The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function. Results Here, we report on the results of the third C
Externí odkaz:
https://doaj.org/article/4c2b017b155b41ceab8d6d078186cafa
Publikováno v:
Biomedicines, Vol 9, Iss 10, p 1433 (2021)
Failure to detect early-stage epithelial ovarian cancer (EOC) is a major contributing factor to its low survival rate. Increasing evidence suggests that different subtypes of EOC may behave as distinct diseases due to their different cells of origins
Externí odkaz:
https://doaj.org/article/9ddf9033000f44478a87e12af33e0422
Autor:
Diego I. Cattoni, Andrés M. Cardozo Gizzi, Mariya Georgieva, Marco Di Stefano, Alessandro Valeri, Delphine Chamousset, Christophe Houbron, Stephanie Déjardin, Jean-Bernard Fiche, Inma González, Jia-Ming Chang, Thomas Sexton, Marc A. Marti-Renom, Frédéric Bantignies, Giacomo Cavalli, Marcelo Nollmann
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-10 (2017)
Eukaryotic genomes are partitioned into self-interacting modules or topologically associated domains (TADs) that exist at the kilo-megabase scale. Here Cattoni et al. combine super-resolution microscopy with DNA-labeling methods to quantify absolute
Externí odkaz:
https://doaj.org/article/e60cd11935584fd2817e693003fc822f