Publications

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104 Publications visible to you, out of a total of 104

Abstract (Expand)

The recent boom in microfluidics and combinatorial indexing strategies, combined with low sequencing costs, has empowered single-cell sequencing technology. Thousands—or even millions—of cells analyzed in a single experiment amount to a data revolution in single-cell biology and pose unique data science problems. Here, we outline eleven challenges that will be central to bringing this emerging field of single-cell data science forward. For each challenge, we highlight motivating research questions, review prior work, and formulate open problems. This compendium is for established researchers, newcomers, and students alike, highlighting interesting and rewarding problems for the coming years.

Authors: David Lähnemann, Johannes Köster, Ewa Szczurek, Davis J. McCarthy, Stephanie C. Hicks, Mark D. Robinson, Catalina A. Vallejos, Kieran R. Campbell, Niko Beerenwinkel, Ahmed Mahfouz, Luca Pinello, Pavel Skums, Alexandros Stamatakis, Camille Stephan-Otto Attolini, Samuel Aparicio, Jasmijn Baaijens, Marleen Balvert, Buys de Barbanson, Antonio Cappuccio, Giacomo Corleone, Bas E. Dutilh, Maria Florescu, Victor Guryev, Rens Holmer, Katharina Jahn, Thamar Jessurun Lobo, Emma M. Keizer, Indu Khatri, Szymon M. Kielbasa, Jan O. Korbel, Alexey M. Kozlov, Tzu-Hao Kuo, Boudewijn P.F. Lelieveldt, Ion I. Mandoiu, John C. Marioni, Tobias Marschall, Felix Mölder, Amir Niknejad, Lukasz Raczkowski, Marcel Reinders, Jeroen de Ridder, Antoine-Emmanuel Saliba, Antonios Somarakis, Oliver Stegle, Fabian J. Theis, Huan Yang, Alex Zelikovsky, Alice C. McHardy, Benjamin J. Raphael, Sohrab P. Shah, Alexander Schönhuth

Date Published: 1st Dec 2020

Publication Type: Journal

Abstract

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Authors: Sebastian G Gornik, B Gideon Bergheim, Benoit Morel, Alexandros Stamatakis, Nicholas S Foulkes, Annika Guse

Date Published: 23rd Nov 2020

Publication Type: Journal

Abstract

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Authors: Adrian Zapletal, Dimitri Höhler, Carsten Sinz, Alexandros Stamatakis

Date Published: 13th Oct 2020

Publication Type: Journal

Abstract

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Authors: Pierre Barbera, Lucas Czech, Sarah Lutteropp, Alexandros Stamatakis

Date Published: 9th Oct 2020

Publication Type: Journal

Abstract

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Authors: Alexey Kozlov, Joao Alves, Alexandros Stamatakis, David Posada

Date Published: 2nd Aug 2020

Publication Type: Journal

Abstract (Expand)

Motivation Recently, Lemoine et al. suggested the transfer bootstrap expectation (TBE) branch support metric as an alternative to classical phylogenetic bootstrap support for taxon-rich datasets.. However, the original TBE implementation in the booster tool is compute- and memory-intensive. Results We developed a fast and memory-efficient TBE implementation. We improve upon the original algorithm by Lemoine et al. via several algorithmic and technical optimizations. On empirical as well as on random tree sets with varying taxon counts, our implementation is up to 480 times faster than booster. Furthermore, it only requires memory that is linear in the number of taxa, which leads to 10× to 40× memory savings compared with booster. Availability and implementation Our implementation has been partially integrated into pll-modules and RAxML-NG and is available under the GNU Affero General Public License v3.0 at https://github.com/ddarriba/pll-modules and https://github.com/amkozlov/raxml-ng. The parallel version that also computes additional TBE-related statistics is available at: https://github.com/lutteropp/raxml-ng/tree/tbe. Supplementary information Supplementary data are available at Bioinformatics online.

Authors: Sarah Lutteropp, Alexey M Kozlov, Alexandros Stamatakis

Date Published: 1st Apr 2020

Publication Type: Journal

Abstract

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Authors: Ben Bettisworth, Alexandros Stamatakis

Date Published: 14th Feb 2020

Publication Type: Journal

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