Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Shuangxi, Ji"'
Autor:
Shuangxi Ji, Tuğçe Oruç, Liam Mead, Muhammad Fayyaz Rehman, Christopher Morton Thomas, Sam Butterworth, Peter James Winn
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0205214 (2019)
Rapid, accurate prediction of protein structure from amino acid sequence would accelerate fields as diverse as drug discovery, synthetic biology and disease diagnosis. Massively improved prediction of protein structures has been driven by improving t
Externí odkaz:
https://doaj.org/article/7f83ca2b3539473e81f0b5c37d081a35
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2493
Accurate detection of somatic mutations in genetically heterogeneous tumor cell populations using next-generation sequencing remains challenging. We have developed MuSE, Mutation calling using a Markov Substitution model for Evolution, a novel approa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0f7600afc33aeefd373cacbbbec024d0
https://pubmed.ncbi.nlm.nih.gov/35751806
https://pubmed.ncbi.nlm.nih.gov/35751806
Publikováno v:
Cancer Research. 83:2070-2070
As constantly improving in capacity and reducing in price, genomic sequencing is becoming a routine part of medical practice for cancer patients. Variant calling in sequencing data is a fundamental prerequisite for any downstream analysis, thus playi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32a637ddd35e1f29e7457984e21e0b5a
https://doi.org/10.1158/1538-7445.am2023-2070
https://doi.org/10.1158/1538-7445.am2023-2070
Autor:
Yujie Jiang, Kaixian Yu, Matthew D. Montierth, Shuangxi Ji, Seung Jun Shin, Shuai Guo, Shaolong Cao, Yuxin Tang, Scott Kopetz, Pavlos Msaouel, Jennifer R. Wang, Marek Kimmel, Peter Van Loo, Hongtu Zhu, Wenyi Wang
Publikováno v:
Cancer Research. 83:4272-4272
Subpopulations of tumor cells characterized by mutation profiles may confer differential fitness and consequently influence the prognosis of cancers. Understanding subclonal architecture has the potential to provide biological insight in tumor evolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00ea5cf0b057ae82f412a2803340435d
https://doi.org/10.1158/1538-7445.am2023-4272
https://doi.org/10.1158/1538-7445.am2023-4272
Autor:
Shaolong Cao, Jennifer R. Wang, Shuangxi Ji, Peng Yang, Yaoyi Dai, Shuai Guo, Matthew D. Montierth, John Paul Shen, Xiao Zhao, Jingxiao Chen, Jaewon James Lee, Paola A. Guerrero, Nicholas Spetsieris, Nikolai Engedal, Sinja Taavitsainen, Kaixian Yu, Julie Livingstone, Vinayak Bhandari, Shawna M. Hubert, Najat C. Daw, P. Andrew Futreal, Eleni Efstathiou, Bora Lim, Andrea Viale, Jianjun Zhang, Matti Nykter, Bogdan A. Czerniak, Powel H. Brown, Charles Swanton, Pavlos Msaouel, Anirban Maitra, Scott Kopetz, Peter Campbell, Terence P. Speed, Paul C. Boutros, Hongtu Zhu, Alfonso Urbanucci, Jonas Demeulemeester, Peter Van Loo, Wenyi Wang
Publikováno v:
Nature biotechnology, vol 40, iss 11
Single-cell RNA sequencing studies have suggested that total mRNA content correlates with tumor phenotypes. Technical and analytical challenges, however, have so far impeded at-scale pan-cancer examination of total mRNA content. Here we present a met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::064f70d12cb281a17970a35f7a835c43
Publikováno v:
Variant Calling ISBN: 9781071622926
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96a807b187ba2765af88746059641b1d
https://doi.org/10.1007/978-1-0716-2293-3_2
https://doi.org/10.1007/978-1-0716-2293-3_2
Autor:
Pavlos Msaouel, Bogdan Czerniak, Andy Futreal, Scott Kopetz, Kaixian Yu, Shaolong Cao, Bhandari, Matthew D. Montierth, Alfonso Urbanucci, Andrea Viale, Julie Livingstone, Paul C. Boutros, Xiaobei Zhao, Nikolai Engedal, Hongtu Zhu, Peng Yang, Jiun Sheng Chen, Matti Nykter, Peter J. Campbell, Guo S, Shawna M Hubert, Peter Van Loo, Najat C. Daw, Eleni Efstathiou, Terence P. Speed, John Paul Shen, Anirban Maitra, Bora Lim, Paola A. Guerrero, Wenyi Wang, Jonas Demeulemeester, Sinja Taavitsainen, Spetsieris N, Shuangxi Ji, Jianhua Zhang, Jangsoon Lee, Junmei Wang
Cancers can vary greatly in their transcriptomes. In contrast to alterations in specific genes or pathways, differences in tumor cell total mRNA content have not been comprehensively assessed. Technical and analytical challenges have impeded examinat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::650ceec146420cbb38a8891907e54e54
https://doi.org/10.21203/rs.3.rs-600171/v1
https://doi.org/10.21203/rs.3.rs-600171/v1
Publikováno v:
Geophysical Prospecting. 67:226-261
Rapid developments in SQUID-based technology make it possible for geophysical exploration to direct measure, inverse and interpret magnetic gradient tensor data. This contribution introduces a novel three-dimensional hybrid regularization method for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc529d7fb75c324bc171af75b658e6c2
https://doi.org/10.1111/1365-2478.12721
https://doi.org/10.1111/1365-2478.12721
Autor:
Zhu H, Shuangxi Ji, Marek Kimmel, Scott Kopetz, Jiang Y, Montierth, Wenyi Wang, Huang L, Kaixian Yu, Pavlos Msaouel, Wang, Shaolong Cao, Seung Jun Shin
Subpopulations of tumor cells characterized by mutation profiles may confer differential fitness and consequently influence prognosis of cancers. Understanding subclonal architecture has the potential to provide biological insight in tumor evolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d55a0eae43339580baea933865af30a
https://doi.org/10.1101/2021.03.31.437383
https://doi.org/10.1101/2021.03.31.437383
Autor:
Shaolong Cao, Jennifer R. Wang, Shuangxi Ji, Peng Yang, Matthew D. Montierth, Shuai Guo, John Paul Shen, Xiao Zhao, Jingxiao Chen, Jaewon James Lee, Paola A Guerrero, Nicholas Spetsieris, Nikolai Engedal, Sinja Taavitsainen, Kaixian Yu, Julie Livingstone, Vinayak Bhandari, Shawna M Hubert, Najat C. Daw, P. Andrew Futreal, Eleni Efstathiou, Bora Lim, Andrea Viale, Jianjun Zhang, Matti Nykter, Bogdan A Czerniak, Pavlos Msaouel, Anirban Maitra, Scott Kopetz, Peter Campbell, Terence P. Speed, Paul C. Boutros, Hongtu Zhu, Alfonso Urbanucci, Jonas Demeulemeester, Peter Van Loo, Wenyi Wang
Cancers can vary greatly in their transcriptomes. In contrast to alterations in specific genes or pathways, the significance of differences in tumor cell total mRNA content is poorly understood. Studies using single-cell sequencing or model systems h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95cd8ce3cca19775dea7679d275574ab
https://doi.org/10.1101/2020.09.30.306795
https://doi.org/10.1101/2020.09.30.306795