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Author(s):  
Sergio M. Martin ◽  
Daniel Wälchli ◽  
Georgios Arampatzis ◽  
Athena E. Economides ◽  
Petr Karnakov ◽  
...  

2021 ◽  
Author(s):  
Jeffrey M. Granja ◽  
M. Ryan Corces ◽  
Sarah E. Pierce ◽  
S. Tansu Bagdatli ◽  
Hani Choudhry ◽  
...  

A Correction to this paper has been published: https://doi.org/10.1038/s41588-021-00850-x.


2021 ◽  
Vol 53 (3) ◽  
pp. 403-411 ◽  
Author(s):  
Jeffrey M. Granja ◽  
M. Ryan Corces ◽  
Sarah E. Pierce ◽  
S. Tansu Bagdatli ◽  
Hani Choudhry ◽  
...  

AbstractThe advent of single-cell chromatin accessibility profiling has accelerated the ability to map gene regulatory landscapes but has outpaced the development of scalable software to rapidly extract biological meaning from these data. Here we present a software suite for single-cell analysis of regulatory chromatin in R (ArchR; https://www.archrproject.com/) that enables fast and comprehensive analysis of single-cell chromatin accessibility data. ArchR provides an intuitive, user-focused interface for complex single-cell analyses, including doublet removal, single-cell clustering and cell type identification, unified peak set generation, cellular trajectory identification, DNA element-to-gene linkage, transcription factor footprinting, mRNA expression level prediction from chromatin accessibility and multi-omic integration with single-cell RNA sequencing (scRNA-seq). Enabling the analysis of over 1.2 million single cells within 8 h on a standard Unix laptop, ArchR is a comprehensive software suite for end-to-end analysis of single-cell chromatin accessibility that will accelerate the understanding of gene regulation at the resolution of individual cells.


2021 ◽  
pp. 42-51
Author(s):  
Angelo Manco ◽  
◽  
Vittorio U. Castrillo

In the framework of modern Unmanned Aerial System (UAS) ground-board communications, a data-link system should provide with the following features [1]: multiband and adaptive modulations for responding to channel conditions changes and multi-standard interoperability, interferences resilience with a secure physical layer, incorporation of an air-to-air link complementary to the classical air-to-ground links. Varying the available communication functions to provide the above features without the need to substitute on-board components is a desired target. For this purpose, a Field Programmable Gate Aray (FPGA) scalable Software Defined Radio hardware Platform (SDRP) and its control and baseband signal processing architecture have been developed. The platform is composed by means of three boards which provide respectively the power supply, an FPGA based processing core and the radio frequency front-end. The control and baseband signal processing architecture, implemented on the FPGA, is designed with an application-independent section, working as a base reference design, and a reconfigurable section that implements communication functions and algorithms. The overall platform, at the board and FPGA architecture level, has been designed considering scalability and modularity as key features. Thanks to this platform a data-link which responds to the above target can be easily implemented. As a case study a reconfigurable data-link between a UAS and a Ground Control Station (GCS), designed to establish reliable communication in all the phases of a flight (parking, taxiing, taking off, cruising and landing), is presented.


2021 ◽  
Author(s):  
Volkan Gezer

Edge Computing is expected to solve the latency and best-effort delivery problems of the renowned Cloud Computing. However, Edge Computing must be supported with a vendor-independent, scalable, and decentralized software reference architecture to fully exploit its benefits. This dissertation explains the enablers, requirements, and conceptual approach to create such architecture, and validates it with a framework to show its possibilities. Contents Foreword III Abstract VII Kurzfassung VIII List of Abbreviations IX 1 Introduction 1 1.1 Problem Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2 Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.3 Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2 State of the Art 11 2.1 Cloud Computing and Edge Computing . . . . . . . . . . . . . . . . . . . . . . 11 2.1.1 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 2.1.2 Requirements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 2.1.3 Enablers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.2 Real‐Tim...


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 35371-35381
Author(s):  
Doaa A. Hamdi ◽  
Samy Ghoniemy ◽  
Yasser Dakroury ◽  
Mohammed A. Sobh

2020 ◽  
Vol 15 (07) ◽  
pp. T07004-T07004
Author(s):  
G. Vecchio ◽  
S. Aurnia ◽  
S. Cavallaro ◽  
B. Diana ◽  
E. Furia ◽  
...  

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