Publications

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1579 Publications visible to you, out of a total of 1579

Abstract

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Authors: Ghulam Mustafa, Prajwal P. Nandekar, Neil J. Bruce, Rebecca C. Wade

Date Published: 1st Sep 2019

Publication Type: Journal

Abstract

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Authors: Theodora Calogeropoulou, George E. Magoulas, Ina Pöhner, Joanna Panecka-Hofman, Pasquale Linciano, Stefania Ferrari, Nuno Santarem, M. Dolores Jiménez-Antón, Ana Isabel Olías-Molero, José María Alunda, Anabela Cordeiro da Silva, Rebecca C. Wade, Maria Paola Costi

Date Published: 29th Aug 2019

Publication Type: InCollection

Abstract

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Authors: Xiaofan Zhou, Sarah Lutteropp, Lucas Czech, Alexandros Stamatakis, Moritz Von Looz, Antonis Rokas

Date Published: 29th Aug 2019

Publication Type: Journal

Abstract (Expand)

The recent upswing of microfluidics and combinatorial indexing strategies, further enhanced by very low sequencing costs, have turned single cell sequencing into an empowering technology; analyzingzing thousands—or even millions—of cells per experimental run is becoming a routine assignment in laboratories worldwide. As a consequence, we are witnessing a data revolution in single cell biology. Although some issues are similar in spirit to those experienced in bulk sequencing, many of the emerging data science problems are unique to single cell analysis; together, they give rise to the new realm of 'Single-Cell Data Science'. Here, we outline twelve challenges that will be central in bringing this new field forward. For each challenge, the current state of the art in terms of prior work is reviewed, and open problems are formulated, with an emphasis on the research goals that motivate them. This compendium is meant to serve as a guideline for established researchers, newcomers and students alike, highlighting interesting and rewarding problems in 'Single-Cell Data Science' for the coming years.

Authors: David Laehnemann, Johannes Köster, Ewa Szczurek, Davis J McCarthy, Stephanie C Hicks, Mark D Robinson, Catalina A Vallejos, Niko Beerenwinkel, Kieran R Campbell, 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 Kiełbasa, Jan O Korbel, Alexey M Kozlov, Tzu-Hao Kuo, Boudewijn PF Lelieveldt, Ion I Mandoiu, John C Marioni, Tobias Marschall, Felix Mölder, Amir Niknejad, Łukasz Rączkowski, 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: 23rd Aug 2019

Publication Type: Journal

Abstract (Expand)

ModelTest-NG is a reimplementation from scratch of jModelTest and ProtTest, two popular tools for selecting the best-fit nucleotide and amino acid substitution models, respectively. ModelTest-NG is one to two orders of magnitude faster than jModelTest and ProtTest but equally accurate and introduces several new features, such as ascertainment bias correction, mixture, and free-rate models, or the automatic processing of single partitions. ModelTest-NG is available under a GNU GPL3 license at https://github.com/ddarriba/modeltest , last accessed September 2, 2019.

Authors: Diego Darriba, David Posada, Alexey M Kozlov, Alexandros Stamatakis, Benoit Morel, Tomas Flouri

Date Published: 21st Aug 2019

Publication Type: Journal

Abstract

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Authors: Mehwish Fatima, Mark-Christoph Müller

Date Published: 10th Aug 2019

Publication Type: InProceedings

Abstract

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Authors: Neil J. Bruce, Gaurav K. Ganotra, Stefan Richter, Rebecca C. Wade

Date Published: 5th Aug 2019

Publication Type: Journal

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