Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Ammal Abbasi"'
Autor:
Azhar Khandekar, Raviteja Vangara, Mark Barnes, Marcos Díaz-Gay, Ammal Abbasi, Erik N. Bergstrom, Christopher D. Steele, Nischalan Pillay, Ludmil B. Alexandrov
Publikováno v:
BMC Genomics, Vol 24, Iss 1, Pp 1-9 (2023)
Abstract Background All cancers harbor somatic mutations in their genomes. In principle, mutations affecting between one and fifty base pairs are generally classified as small mutational events. Conversely, large mutational events affect more than fi
Externí odkaz:
https://doaj.org/article/e277fb79cb7e4bdb8efd3acb49845605
Autor:
Julia Su Zhou Li, Ammal Abbasi, Dong Hyun Kim, Scott M. Lippman, Ludmil B. Alexandrov, Don W. Cleveland
Publikováno v:
Nature. 616:504-509
Autor:
Christopher D. Steele, Ammal Abbasi, S. M. Ashiqul Islam, Amy L. Bowes, Azhar Khandekar, Kerstin Haase, Shadi Hames-Fathi, Dolapo Ajayi, Annelien Verfaillie, Pawan Dhami, Alex McLatchie, Matt Lechner, Nicholas Light, Adam Shlien, David Malkin, Andrew Feber, Paula Proszek, Tom Lesluyes, Fredrik Mertens, Adrienne M. Flanagan, Maxime Tarabichi, Peter Van Loo, Ludmil B. Alexandrov, Nischalan Pillay
Publikováno v:
Nature. 606:984-991
Gains and losses of DNA are prevalent in cancer and emerge as a consequence of inter-related processes of replication stress, mitotic errors, spindle multipolarity and breakage–fusion–bridge cycles, among others, which may lead to chromosomal ins
Autor:
Erik N. Bergstrom, Ammal Abbasi, Marcos Díaz-Gay, Loïck Galland, Scott M. Lippman, Sylvain Ladoire, Ludmil B. Alexandrov
Breast and ovarian cancers harboring homologous recombination deficiencies (HRD) can benefit from platinum-based chemotherapies and PARP inhibitors. Standard diagnostic tests for detecting HRD utilize molecular profiling, which is not universally ava
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00c5c756fadca0c9ed9830696c6695c7
https://doi.org/10.1101/2023.02.23.23285869
https://doi.org/10.1101/2023.02.23.23285869
Autor:
S.M. Ashiqul Islam, Marcos Díaz-Gay, Yang Wu, Mark Barnes, Raviteja Vangara, Erik N. Bergstrom, Yudou He, Mike Vella, Jingwei Wang, Jon W. Teague, Peter Clapham, Sarah Moody, Sergey Senkin, Yun Rose Li, Laura Riva, Tongwu Zhang, Andreas J. Gruber, Christopher D. Steele, Burçak Otlu, Azhar Khandekar, Ammal Abbasi, Laura Humphreys, Natalia Syulyukina, Samuel W. Brady, Boian S. Alexandrov, Nischalan Pillay, Jinghui Zhang, David J. Adams, Iñigo Martincorena, David C. Wedge, Maria Teresa Landi, Paul Brennan, Michael R. Stratton, Steven G. Rozen, Ludmil B. Alexandrov
Publikováno v:
Cell genomics, vol 2, iss 11
Mutational signature analysis is commonly performed in cancer genomic studies. Here, we present SigProfilerExtractor, an automated tool for de novo extraction of mutational signatures, and benchmark it against another 13 bioinformatics tools by using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d66650f68920d43fde2ce688d861fe80
https://escholarship.org/uc/item/9b82739r
https://escholarship.org/uc/item/9b82739r
Autor:
Hideko Isozaki, Ammal Abbasi, Naveed Nikpour, Marcello Stanzione, Ramin Sakhtemani, Susanna L. Monroe, Alice T. Shaw, Jessica J. Lin, Lecia V. Sequist, Zofia Piotrowska, Rémi Buisson, Michael S. Lawrence, Aaron N. Hata
Publikováno v:
Cancer Research. 82:657-657
Acquired drug resistance to even the most effective anti cancer targeted therapies remains an unsolved clinical problem. Although many drivers of acquired drug resistance have been identified, the underlying molecular mechanisms shaping tumor evoluti
Autor:
Ammal Abbasi, Ludmil B. Alexandrov
Publikováno v:
Nature. 602:580-581
Autor:
S M Ashiqul, Islam, Marcos, Díaz-Gay, Yang, Wu, Mark, Barnes, Raviteja, Vangara, Erik N, Bergstrom, Yudou, He, Mike, Vella, Jingwei, Wang, Jon W, Teague, Peter, Clapham, Sarah, Moody, Sergey, Senkin, Yun Rose, Li, Laura, Riva, Tongwu, Zhang, Andreas J, Gruber, Christopher D, Steele, Burçak, Otlu, Azhar, Khandekar, Ammal, Abbasi, Laura, Humphreys, Natalia, Syulyukina, Samuel W, Brady, Boian S, Alexandrov, Nischalan, Pillay, Jinghui, Zhang, David J, Adams, Iñigo, Martincorena, David C, Wedge, Maria Teresa, Landi, Paul, Brennan, Michael R, Stratton, Steven G, Rozen, Ludmil B, Alexandrov
Publikováno v:
Cell genomics. 2(11)
Mutational signature analysis is commonly performed in cancer genomic studies. Here, we present SigProfilerExtractor, an automated tool for
Autor:
Nischalan Pillay, Hames S, Ammal Abbasi, Azhar Khandekar, Van Loo P, Tom Lesluyes, Kerstin Haase, Adrienne M. Flanagan, Fredrik Mertens, Islam Asm, Maxime Tarabichi, Christopher D. Steele, Ludmil B. Alexandrov
The gains and losses of DNA that emerge as a consequence of mitotic errors and chromosomal instability are prevalent in cancer. These copy number alterations contribute to cancer initiaition, progression and therapeutic resistance. Here, we present a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6f4e952b7e097bf87065c5665681894
https://doi.org/10.1101/2021.04.30.441940
https://doi.org/10.1101/2021.04.30.441940
Autor:
Paul Brennan, Burcak Otlu, Sergey Senkin, Azhar Khandekar, Michael R. Stratton, Raviteja Vangara, Mike Vella, David J. Adams, Sarah Moody, Inigo Marticorena, Natalia Syulyukina, Marcos Díaz-Gay, Steven G. Rozen, Mark Barnes, Erik N. Bergstrom, Andreas J. Gruber, Tongwu Zhang, Boian S. Alexandrov, Ludmil B. Alexandrov, Yun Li, Jingwei Wang, Yudou He, Peter Clapham, Laura Humphreys, Jon W. Teague, Samuel W. Brady, Yang Wu, Nischalan Pillay, Ammal Abbasi, S M Ashiqul Islam, Jinghui Zhang, Laura Riva, David C. Wedge, Maria Teresa Landi, Christopher D. Steele
SUMMARYMutational signature analysis is commonly performed in genomic studies surveying cancer and normal somatic tissues. Here we present SigProfilerExtractor, an automated tool for accurate de novo extraction of mutational signatures for all types
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4daa9c682d1ba924468a8845df9ed6bb
https://doi.org/10.1101/2020.12.13.422570
https://doi.org/10.1101/2020.12.13.422570