QIIME allows analysis of high-throughput community sequencing data Tập 7 Số 5 - Trang 335-336 - 2010
J. Gregory Caporaso, Justin Kuczynski, Jesse Stombaugh, Kyle Bittinger, Frederic D. Bushman, Elizabeth K. Costello, Noah Fierer, Antonio González Peña, Julia K. Goodrich, Jeffrey I. Gordon, Gavin Huttley, Scott T. Kelley, Dan Knights, Jeremy E. Koenig, Ruth E. Ley, Catherine Lozupone, Daniel McDonald, Brian D. Muegge, Meg Pirrung, Jens Reeder, Joel Sevinsky, Peter J. Turnbaugh, William A. Walters, Jeremy Widmann, Tanya Yatsunenko, Jesse Zaneveld, Rob Knight
SciPy 1.0: fundamental algorithms for scientific computing in Python Tập 17 Số 3 - Trang 261-272 - 2020
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, J.D. Bright, Stéfan van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew Nelson, Eric D. Jones, Roland Kern, Eric B. Larson, CJ Carey, İlhan Polat, G. Bolla, Eric Moore, Jake Vanderplas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, R. Quitzow-James, C. R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabián Pedregosa, Paul van Mulbregt, A. Vijaykumar, Alessandro Pietro Bardelli, Amy E. Rothberg, Andreas Hilboll, Andreas Klöckner, Anthony Scopatz, Antony Lee, Ariel Rokem, Charles Woods, C. Fulton, C. R. Masson, C. Häggström, Chris Fitzgerald, David Nicholson, David Hagen, Dmitrii V. Ṗasechnik, Emanuele Olivetti, Elizabeth A. Martin, Eric Wieser, Fabrice Silva, Frank K. Wilhelm, George S. Young, George Price, Gert‐Ludwig Ingold, G.E. Allen, A. Lister, Hervé Audren, Irvin Probst, J. P. Dietrich, Jacob Silterra, James T. Webber, Janko Slavič, Joel Nothman, J. Büchner, Jeffrey H. Kulick, Johannes L. Schönberger, José Vinícius de Miranda Cardoso, Joscha Reimer, Joseph Harrington, José A. Rodríguez, Juan Nunez-Iglesias, Justin Kuczynski, K. Tritz, M. Thoma, M. Newville, Matthias Kümmerer, Maximilian Bolingbroke, M. Tartre, M. Pak, Nathaniel J. Smith, Nikolai Nowaczyk, N. Shebanov, Oleksandr Pavlyk, Per A. Brodtkorb, Peter Lee, Robert T. McGibbon, Roman Feldbauer, S. R. Lewis, Sam Tygier, Scott Sievert, Sebastiano Vigna, S. Peterson, Surhud More, T. Pudlik, Takuya Oshima, Thomas J. Pingel, Thomas Robitaille, Thomas Spura, Thouis R. Jones, Tim Cera, Thomas M. Leslie, Tiziano Zito, Thomas F. Krauss, Udita Upadhyay, Yaroslav Halchenko, Yoshiki Vázquez‐Baeza
AbstractSciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
