Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Azza E Ahmed"'
Autor:
Lesley M Chapman, Noah Spies, Patrick Pai, Chun Shen Lim, Andrew Carroll, Giuseppe Narzisi, Christopher M Watson, Christos Proukakis, Wayne E Clarke, Naoki Nariai, Eric Dawson, Garan Jones, Daniel Blankenberg, Christian Brueffer, Chunlin Xiao, Sree Rohit Raj Kolora, Noah Alexander, Paul Wolujewicz, Azza E Ahmed, Graeme Smith, Saadlee Shehreen, Aaron M Wenger, Marc Salit, Justin M Zook
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 6, p e1007933 (2020)
A high quality benchmark for small variants encompassing 88 to 90% of the reference genome has been developed for seven Genome in a Bottle (GIAB) reference samples. However a reliable benchmark for large indels and structural variants (SVs) is more c
Externí odkaz:
https://doaj.org/article/b08f9ccca37e4727afc897d6fa521024
Autor:
Faisal M Fadlelmola, Sumir Panji, Azza E Ahmed, Amel Ghouila, Wisdom A Akurugu, Jean-Baka Domelevo Entfellner, Oussema Souiai, Nicola Mulder, H3ABioNet Research working group as members of the H3Africa Consortium
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 4, p e1006671 (2019)
Externí odkaz:
https://doaj.org/article/43b9fae699c747e598654d994e8cf76e
Autor:
Azza E Ahmed, Jacob Heldenbrand, Yan Asmann, Faisal M Fadlelmola, Daniel S Katz, Katherine Kendig, Matthew C Kendzior, Tiffany Li, Yingxue Ren, Elliott Rodriguez, Matthew R Weber, Justin M Wozniak, Jennie Zermeno, Liudmila S Mainzer
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0211608 (2019)
Bioinformatics research is frequently performed using complex workflows with multiple steps, fans, merges, and conditionals. This complexity makes management of the workflow difficult on a computer cluster, especially when running in parallel on larg
Externí odkaz:
https://doaj.org/article/1e09fc94f6494e458150290d4c0cf43d
Autor:
Azza E. Ahmed, Phelelani T. Mpangase, Sumir Panji, Shakuntala Baichoo, Yassine Souilmi, Faisal M. Fadlelmola, Mustafa Alghali, Shaun Aron, Hocine Bendou, Eugene De Beste, Mamana Mbiyavanga, Oussema Souiai, Long Yi, Jennie Zermeno, Don Armstrong, Brian D. O'Connor, Liudmila Sergeevna Mainzer, Michael R. Crusoe, Ayton Meintjes, Peter Van Heusden, Gerrit Botha, Fourie Joubert, C. Victor Jongeneel, Scott Hazelhurst, Nicola Mulder
Publikováno v:
AAS Open Research, Vol 1 (2019)
The need for portable and reproducible genomics analysis pipelines is growing globally as well as in Africa, especially with the growth of collaborative projects like the Human Health and Heredity in Africa Consortium (H3Africa). The Pan-African H3Af
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::e73730b8e081867735686e3dd8c488bb
https://aasopenresearch.org/articles/1-9/v2
https://aasopenresearch.org/articles/1-9/v2
Autor:
Azza E. Ahmed, Joshua M. Allen, Tajesvi Bhat, Prakruthi Burra, Christina E. Fliege, Steven N. Hart, Jacob R. Heldenbrand, Matthew E. Hudson, Dave Deandre Istanto, Michael T. Kalmbach, Gregory D. Kapraun, Katherine I. Kendig, Matthew Charles Kendzior, Eric W. Klee, Nate Mattson, Christian A. Ross, Sami M. Sharif, Ramshankar Venkatakrishnan, Faisal M. Fadlelmola, Liudmila S. Mainzer
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Abstract The changing landscape of genomics research and clinical practice has created a need for computational pipelines capable of efficiently orchestrating complex analysis stages while handling large volumes of data across heterogeneous computati
Externí odkaz:
https://doaj.org/article/71063f0cca8645c6a434d845100e2c90
Autor:
Shakuntala Baichoo, Yassine Souilmi, Sumir Panji, Gerrit Botha, Ayton Meintjes, Scott Hazelhurst, Hocine Bendou, Eugene de Beste, Phelelani T. Mpangase, Oussema Souiai, Mustafa Alghali, Long Yi, Brian D. O’Connor, Michael Crusoe, Don Armstrong, Shaun Aron, Fourie Joubert, Azza E. Ahmed, Mamana Mbiyavanga, Peter van Heusden, Lerato E. Magosi, Jennie Zermeno, Liudmila Sergeevna Mainzer, Faisal M. Fadlelmola, C. Victor Jongeneel, Nicola Mulder
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-13 (2018)
Abstract Background The Pan-African bioinformatics network, H3ABioNet, comprises 27 research institutions in 17 African countries. H3ABioNet is part of the Human Health and Heredity in Africa program (H3Africa), an African-led research consortium fun
Externí odkaz:
https://doaj.org/article/b9386fe4dced4b938ad6c01dba73df71