Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Varuni Sarwal"'
Autor:
Serghei Mangul, Thiago Mosqueiro, Richard J Abdill, Dat Duong, Keith Mitchell, Varuni Sarwal, Brian Hill, Jaqueline Brito, Russell Jared Littman, Benjamin Statz, Angela Ka-Mei Lam, Gargi Dayama, Laura Grieneisen, Lana S Martin, Jonathan Flint, Eleazar Eskin, Ran Blekhman
Publikováno v:
PLoS Biology, Vol 17, Iss 6, p e3000333 (2019)
Developing new software tools for analysis of large-scale biological data is a key component of advancing modern biomedical research. Scientific reproduction of published findings requires running computational tools on data generated by such studies
Externí odkaz:
https://doaj.org/article/292b7e5be01b4f5ba587b117b008364a
Autor:
Kerui Peng, Serghei Mangul, Houda Alachkar, Varuni Sarwal, Annie Wong-Beringer, Yu Ning Huang
Publikováno v:
JACCP: JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY. 4:1263-1266
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Autor:
Aditya Sarkar, Augustin Giros, Louis Mockly, Jaden Moore, Andrew Moore, Anish Nagareddy, Boyang Fu, Andrada Fiscutean, Karishma Chhugani, Nicholas Darci-Maher, Yesha M. Patel, Varuni Sarwal, Yutong Chang, Srishti Ginjala, Lana X. Garmire, Riyue Bao, Sriram Sankararaman, Rayan Chikhi, Serghei Mangul
Microblogging platform Twitter allows researchers to showcase their work, receive constructive feedback, find jobs, and build scientific collaborations. While existing literature has analyzed the benefits of Twitter in the development and distributio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::233196e5e65dd237cac040289334408f
https://doi.org/10.1101/2022.04.22.488804
https://doi.org/10.1101/2022.04.22.488804
Autor:
Sergey Knyazev, Karishma Chhugani, Varuni Sarwal, Ram Ayyala, Harman Singh, Smruthi Karthikeyan, Dhrithi Deshpande, Pelin Icer Baykal, Zoia Comarova, Angela Lu, Yuri Porozov, Tetyana I. Vasylyeva, Joel O. Wertheim, Braden T. Tierney, Charles Y. Chiu, Ren Sun, Aiping Wu, Malak S. Abedalthagafi, Victoria M. Pak, Shivashankar H. Nagaraj, Adam L. Smith, Pavel Skums, Bogdan Pasaniuc, Andrey Komissarov, Christopher E. Mason, Eric Bortz, Philippe Lemey, Fyodor Kondrashov, Niko Beerenwinkel, Tommy Tsan-Yuk Lam, Nicholas C. Wu, Alex Zelikovsky, Rob Knight, Keith A. Crandall, Serghei Mangul
Publikováno v:
ArXiv
article-version (number) 1
article-version (status) pre
Nature methods, vol 19, iss 4
article-version (number) 1
article-version (status) pre
Nature methods, vol 19, iss 4
More than any other infectious disease epidemic, the COVID-19 pandemic has been characterized by the generation of large volumes of viral genomic data at an incredible pace due to recent advances in high-throughput sequencing technologies, the rapid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7594ac9f03db7cdfd90b445fa4f44f8
https://lirias.kuleuven.be/handle/20.500.12942/694643
https://lirias.kuleuven.be/handle/20.500.12942/694643
Autor:
Fernando Meyer, Adrian Fritz, Zhi-Luo Deng, David Koslicki, Till Robin Lesker, Alexey Gurevich, Gary Robertson, Mohammed Alser, Dmitry Antipov, Francesco Beghini, Denis Bertrand, Jaqueline J. Brito, C. Titus Brown, Jan Buchmann, Aydin Buluç, Bo Chen, Rayan Chikhi, Philip T. L. C. Clausen, Alexandru Cristian, Piotr Wojciech Dabrowski, Aaron E. Darling, Rob Egan, Eleazar Eskin, Evangelos Georganas, Eugene Goltsman, Melissa A. Gray, Lars Hestbjerg Hansen, Steven Hofmeyr, Pingqin Huang, Luiz Irber, Huijue Jia, Tue Sparholt Jørgensen, Silas D. Kieser, Terje Klemetsen, Axel Kola, Mikhail Kolmogorov, Anton Korobeynikov, Jason Kwan, Nathan LaPierre, Claire Lemaitre, Chenhao Li, Antoine Limasset, Fabio Malcher-Miranda, Serghei Mangul, Vanessa R. Marcelino, Camille Marchet, Pierre Marijon, Dmitry Meleshko, Daniel R. Mende, Alessio Milanese, Niranjan Nagarajan, Jakob Nissen, Sergey Nurk, Leonid Oliker, Lucas Paoli, Pierre Peterlongo, Vitor C. Piro, Jacob S. Porter, Simon Rasmussen, Evan R. Rees, Knut Reinert, Bernhard Renard, Espen Mikal Robertsen, Gail L. Rosen, Hans-Joachim Ruscheweyh, Varuni Sarwal, Nicola Segata, Enrico Seiler, Lizhen Shi, Fengzhu Sun, Shinichi Sunagawa, Søren Johannes Sørensen, Ashleigh Thomas, Chengxuan Tong, Mirko Trajkovski, Julien Tremblay, Gherman Uritskiy, Riccardo Vicedomini, Zhengyang Wang, Ziye Wang, Zhong Wang, Andrew Warren, Nils Peder Willassen, Katherine Yelick, Ronghui You, Georg Zeller, Zhengqiao Zhao, Shanfeng Zhu, Jie Zhu, Ruben Garrido-Oter, Petra Gastmeier, Stephane Hacquard, Susanne Häußler, Ariane Khaledi, Friederike Maechler, Fantin Mesny, Simona Radutoiu, Paul Schulze-Lefert, Nathiana Smit, Till Strowig, Andreas Bremges, Alexander Sczyrba, Alice Carolyn McHardy
Publikováno v:
Nature Methods
Meyer, F, Fritz, A, Deng, Z L, Koslicki, D, Lesker, T R, Gurevich, A, Robertson, G, Alser, M, Antipov, D, Beghini, F, Bertrand, D, Brito, J J, Brown, C T, Buchmann, J, Buluç, A, Chen, B, Chikhi, R, Clausen, P T L C, Cristian, A, Dabrowski, P W, Darling, A E, Egan, R, Eskin, E, Georganas, E, Goltsman, E, Gray, M A, Hansen, L H, Hofmeyr, S, Huang, P, Irber, L, Jia, H, Jørgensen, T S, Kieser, S D, Klemetsen, T, Kola, A, Kolmogorov, M, Korobeynikov, A, Kwan, J, LaPierre, N, Lemaitre, C, Li, C, Limasset, A, Malcher-Miranda, F, Mangul, S, Marcelino, V R, Marchet, C, Marijon, P, Meleshko, D, Mende, D R, Milanese, A, Nagarajan, N, Nissen, J, Nurk, S, Oliker, L, Paoli, L, Peterlongo, P, Piro, V C, Porter, J S, Rasmussen, S, Rees, E R, Reinert, K, Renard, B, Robertsen, E M, Rosen, G L, Ruscheweyh, H J, Sarwal, V, Segata, N, Seiler, E, Shi, L, Sun, F, Sunagawa, S, Sørensen, S J, Thomas, A, Tong, C, Trajkovski, M, Tremblay, J, Uritskiy, G, Vicedomini, R, Wang, Z, Wang, Z, Wang, Z, Warren, A, Willassen, N P, Yelick, K, You, R, Zeller, G, Zhao, Z, Zhu, S, Zhu, J, Garrido-Oter, R, Gastmeier, P, Hacquard, S, Häußler, S, Khaledi, A, Maechler, F, Mesny, F, Radutoiu, S, Schulze-Lefert, P, Smit, N, Strowig, T, Bremges, A, Sczyrba, A & McHardy, A C 2022, ' Critical Assessment of Metagenome Interpretation : the second round of challenges ', Nature Methods, vol. 19, no. 4, pp. 429-440 . https://doi.org/10.1038/s41592-022-01431-4
Nature Methods, 2022, 19 (4), pp.429-440. ⟨10.1038/s41592-022-01431-4⟩
Nature methods, 19(4), 429-440. Nature Publishing Group
Meyer, F, Fritz, A, Deng, Z-L, Koslicki, D, Lesker, T R, Gurevich, A, Robertson, G, Alser, M, Antipov, D, Beghini, F, Bertrand, D, Brito, J J, Brown, C T, Buchmann, J, Buluç, A, Chen, B, Chikhi, R, Clausen, P T L C, Cristian, A, Dabrowski, P W, Darling, A E, Egan, R, Eskin, E, Georganas, E, Goltsman, E, Gray, M A, Hansen, L H, Hofmeyr, S, Huang, P, Irber, L, Jia, H, Jørgensen, T S, Kieser, S D, Klemetsen, T, Kola, A, Kolmogorov, M, Korobeynikov, A, Kwan, J, LaPierre, N, Lemaitre, C, Li, C, Limasset, A, Malcher-Miranda, F, Mangul, S, Marcelino, V R, Marchet, C, Marijon, P, Meleshko, D, Mende, D R, Milanese, A, Nagarajan, N, Nissen, J, Nurk, S, Oliker, L, Paoli, L, Peterlongo, P, Piro, V C, Porter, J S, Rasmussen, S, Rees, E R, Reinert, K, Renard, B, Robertsen, E M, Rosen, G L, Ruscheweyh, H-J, Sarwal, V, Segata, N, Seiler, E, Shi, L, Sun, F, Sunagawa, S, Sørensen, S J, Thomas, A, Tong, C, Trajkovski, M, Tremblay, J, Uritskiy, G, Vicedomini, R, Wang, Z, Wang, Z, Wang, Z, Warren, A, Willassen, N P, Yelick, K, You, R, Zeller, G, Zhao, Z, Zhu, S, Zhu, J, Garrido-Oter, R, Gastmeier, P, Hacquard, S, Häußler, S, Khaledi, A, Maechler, F, Mesny, F, Radutoiu, S, Schulze-Lefert, P, Smit, N, Strowig, T, Bremges, A, Sczyrba, A & McHardy, A C 2022, ' Critical Assessment of Metagenome Interpretation : the second round of challenges ', Nature Methods, vol. 19, no. 4, pp. 429-440 . https://doi.org/10.1038/s41592-022-01431-4
Nature Methods, 19 (8)
Meyer, F, Fritz, A, Deng, Z L, Koslicki, D, Lesker, T R, Gurevich, A, Robertson, G, Alser, M, Antipov, D, Beghini, F, Bertrand, D, Brito, J J, Brown, C T, Buchmann, J, Buluç, A, Chen, B, Chikhi, R, Clausen, P T L C, Cristian, A, Dabrowski, P W, Darling, A E, Egan, R, Eskin, E, Georganas, E, Goltsman, E, Gray, M A, Hansen, L H, Hofmeyr, S, Huang, P, Irber, L, Jia, H, Jørgensen, T S, Kieser, S D, Klemetsen, T, Kola, A, Kolmogorov, M, Korobeynikov, A, Kwan, J, LaPierre, N, Lemaitre, C, Li, C, Limasset, A, Malcher-Miranda, F, Mangul, S, Marcelino, V R, Marchet, C, Marijon, P, Meleshko, D, Mende, D R, Milanese, A, Nagarajan, N, Nissen, J, Nurk, S, Oliker, L, Paoli, L, Peterlongo, P, Piro, V C, Porter, J S, Rasmussen, S, Rees, E R, Reinert, K, Renard, B, Robertsen, E M, Rosen, G L, Ruscheweyh, H J, Sarwal, V, Segata, N, Seiler, E, Shi, L, Sun, F, Sunagawa, S, Sørensen, S J, Thomas, A, Tong, C, Trajkovski, M, Tremblay, J, Uritskiy, G, Vicedomini, R, Wang, Z, Wang, Z, Wang, Z, Warren, A, Willassen, N P, Yelick, K, You, R, Zeller, G, Zhao, Z, Zhu, S, Zhu, J, Garrido-Oter, R, Gastmeier, P, Hacquard, S, Häußler, S, Khaledi, A, Maechler, F, Mesny, F, Radutoiu, S, Schulze-Lefert, P, Smit, N, Strowig, T, Bremges, A, Sczyrba, A & McHardy, A C 2022, ' Critical Assessment of Metagenome Interpretation : the second round of challenges ', Nature Methods, vol. 19, no. 4, pp. 429-440 . https://doi.org/10.1038/s41592-022-01431-4
Nature Methods, 2022, 19 (4), pp.429-440. ⟨10.1038/s41592-022-01431-4⟩
Nature methods, 19(4), 429-440. Nature Publishing Group
Meyer, F, Fritz, A, Deng, Z-L, Koslicki, D, Lesker, T R, Gurevich, A, Robertson, G, Alser, M, Antipov, D, Beghini, F, Bertrand, D, Brito, J J, Brown, C T, Buchmann, J, Buluç, A, Chen, B, Chikhi, R, Clausen, P T L C, Cristian, A, Dabrowski, P W, Darling, A E, Egan, R, Eskin, E, Georganas, E, Goltsman, E, Gray, M A, Hansen, L H, Hofmeyr, S, Huang, P, Irber, L, Jia, H, Jørgensen, T S, Kieser, S D, Klemetsen, T, Kola, A, Kolmogorov, M, Korobeynikov, A, Kwan, J, LaPierre, N, Lemaitre, C, Li, C, Limasset, A, Malcher-Miranda, F, Mangul, S, Marcelino, V R, Marchet, C, Marijon, P, Meleshko, D, Mende, D R, Milanese, A, Nagarajan, N, Nissen, J, Nurk, S, Oliker, L, Paoli, L, Peterlongo, P, Piro, V C, Porter, J S, Rasmussen, S, Rees, E R, Reinert, K, Renard, B, Robertsen, E M, Rosen, G L, Ruscheweyh, H-J, Sarwal, V, Segata, N, Seiler, E, Shi, L, Sun, F, Sunagawa, S, Sørensen, S J, Thomas, A, Tong, C, Trajkovski, M, Tremblay, J, Uritskiy, G, Vicedomini, R, Wang, Z, Wang, Z, Wang, Z, Warren, A, Willassen, N P, Yelick, K, You, R, Zeller, G, Zhao, Z, Zhu, S, Zhu, J, Garrido-Oter, R, Gastmeier, P, Hacquard, S, Häußler, S, Khaledi, A, Maechler, F, Mesny, F, Radutoiu, S, Schulze-Lefert, P, Smit, N, Strowig, T, Bremges, A, Sczyrba, A & McHardy, A C 2022, ' Critical Assessment of Metagenome Interpretation : the second round of challenges ', Nature Methods, vol. 19, no. 4, pp. 429-440 . https://doi.org/10.1038/s41592-022-01431-4
Nature Methods, 19 (8)
Evaluating metagenomic software is key for optimizing metagenome interpretation and focus of the Initiative for the Critical Assessment of Metagenome Interpretation (CAMI). The CAMI II challenge engaged the community to assess methods on realistic an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6a457600da700f14909805684c3378a
https://hdl.handle.net/10453/163369
https://hdl.handle.net/10453/163369
Autor:
Varuni Sarwal, Sebastian Niehus, Ram Ayyala, Minyoung Kim, Aditya Sarkar, Sei Chang, Angela Lu, Neha Rajkumar, Nicholas Darfci-Maher, Russell Littman, Karishma Chhugani, Arda Soylev, Zoia Comarova, Emily Wesel, Jacqueline Castellanos, Rahul Chikka, Margaret G Distler, Eleazar Eskin, Jonathan Flint, Serghei Mangul
Publikováno v:
Brief Bioinform
Briefings in bioinformatics, vol 23, iss 4
Briefings in bioinformatics, vol 23, iss 4
Advances in whole-genome sequencing (WGS) promise to enable the accurate and comprehensive structural variant (SV) discovery. Dissecting SVs from WGS data presents a substantial number of challenges and a plethora of SV detection methods have been de
Autor:
Zho. Wang, Ariane Khaledi, Alice C. McHardy, Anton Korobeynikov, A. Cristian, Gherman Uritskiy, Huijue Jia, Philip Thomas Lanken Conradsen Clausen, Till Strowig, Denis Bertrand, N. Smit, Niranjan Nagarajan, Enrico Seiler, Adam G. Thomas, David Koslicki, Piotr Wojtek Dabrowski, Vitor C. Piro, Andreas Bremges, L. Oliker, Petra Gastmeier, Steven Hofmeyr, Zhe Wang, Jason C. Kwan, Alessio Milanese, Tue Sparholt Jørgensen, Mohammed Alser, J. S. Porter, Alexander Sczyrba, Georg Zeller, Bernhard Y. Renard, Chenhao Li, Riccardo Vicedomini, Chengxuan Tong, Andrew S. Warren, Jaqueline J. Brito, Alexey Gurevich, Axel Kola, C.T. Brown, Julien Tremblay, Shinichi Sunagawa, F. Maechler, G. Robertson, Jakob Nybo Nissen, Ruben Garrido-Oter, Rob Egan, Simon Rasmussen, Katherine Yelick, Fernando Meyer, Zhengqiao Zhao, Daniel R Mende, Shanfeng Zhu, Lizhen Shi, F. Malcher-Miranda, Fengzhu Sun, Zi. Wang, Lars Hestbjerg Hansen, J. Buchmann, S. D. Kieser, Jie Zhu, E. M. Robertsen, Fantin Mesny, Sergey Nurk, Pierre Marijon, Dmitry Meleshko, Gail L. Rosen, Nicola Segata, Nathan LaPierre, Eugene Goltsman, Varuni Sarwal, Mirko Trajkovski, Dmitry Antipov, P. Huang, Vanesa R. Marcelino, Francesco Beghini, Antoine Limasset, Rayan Chikhi, Eleazar Eskin, M. A. Gray, Camille Marchet, Lucas Paoli, Adrian Fritz, Evangelos Georganas, Zhi-Luo Deng, T. Klemetsen, Hans-Joachim Ruscheweyh, Evan R. Rees, S. Häußler, Simona Radutoiu, Stéphane Hacquard, Paul Schulze-Lefert, Mikhail Kolmogorov, N. P. Willassen, Pierre Peterlongo, Knut Reinert, Claire Lemaitre, Ronghui You, Søren J. Sørensen, Aydin Buluc, Luiz Irber, Serghei Mangul, B. Chen, Aaron E. Darling
Evaluating metagenomic software is key for optimizing metagenome interpretation and focus of the community-driven initiative for the Critical Assessment of Metagenome Interpretation (CAMI). In its second challenge, CAMI engaged the community to asses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30f2c611599ba0fd5421c09bf5485486
https://doi.org/10.1101/2021.07.12.451567
https://doi.org/10.1101/2021.07.12.451567
Autor:
Laura E. Grieneisen, Thiago Mosqueiro, Dat Duong, Gargi Dayama, Richard J. Abdill, Brian L. Hill, Benjamin Statz, Serghei Mangul, Ran Blekhman, Varuni Sarwal, Lana S. Martin, Keith Mitchell, Eleazar Eskin, Jaqueline J. Brito, Russell Littman, Jonathan Flint, Angela Ka Mei Lam
Publikováno v:
PLoS Biology, Vol 17, Iss 6, p e3000333 (2019)
PLoS Biology
PLoS Biology
Developing new software tools for analysis of large-scale biological data is a key component of advancing modern biomedical research. Scientific reproduction of published findings requires running computational tools on data generated by such studies
Autor:
Keith Mitchell, Brian L. Hill, Thiago Mosqueiro, Angela Ka-Mei Lam, Eleazar Eskin, Jaqueline J. Brito, Russell Littman, Lana S. Martin, Dat Duong, Gargi Dayama, Jonathan Flint, Benjamin Statz, Richard J. Abdill, Varuni Sarwal, Serghei Mangul, Ran Blekhman, Laura E. Grieneisen
Developing new software tools for analysis of large-scale biological data is a key component of advancing modern biomedical research. Scientific reproduction of published findings requires running computational tools on data generated by such studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a52e10c4e5d05662d10d6f9aae48207