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Pattern detection and string matching are fundamental problems in computer science and the accelerated expansion of bioinformatics and computational biology have made them a core topic for both disciplines. The SARS-CoV-2 pandemic has made…

Genomics · Quantitative Biology 2025-05-14 Konstantinos Xylogiannopoulos

The widespread availability of large amounts of genomic data on the SARS-CoV-2 virus, as a result of the COVID-19 pandemic, has created an opportunity for researchers to analyze the disease at a level of detail unlike any virus before it.…

Machine Learning · Computer Science 2021-10-20 Zahra Tayebi , Sarwan Ali , Murray Patterson

The widely used gene quantisation technique, Lateral Flow Device (LFD), is now commonly used to detect the presence of SARS-CoV-2. It is enabling the control and prevention of the spread of the virus. Depending on the viral load, LFD have…

Machine Learning · Computer Science 2022-05-27 Neeraj Vashistha

The rapid spread of the COVID-19 pandemic has resulted in an unprecedented amount of sequence data of the SARS-CoV-2 genome -- millions of sequences and counting. This amount of data, while being orders of magnitude beyond the capacity of…

Genomics · Quantitative Biology 2022-07-20 Sarwan Ali , Bikram Sahoo , Alexander Zelikovskiy , Pin-Yu Chen , Murray Patterson

Despite of the fast development of highly effective vaccines to control the current COVID$-$19 pandemic, the unequal distribution and availability of these vaccines worldwide and the number of people infected in the world lead to the…

The detection of rare variants is important for understanding the genetic heterogeneity in mixed samples. Recently, next-generation sequencing (NGS) technologies have enabled the identification of single nucleotide variants (SNVs) in mixed…

Genomics · Quantitative Biology 2016-04-25 Fan Zhang , Patrick Flaherty

The low frequency region of the spectrum is a challenging regime for quantum probes. We support the idea that, in this regime, performing Ramsey measurements carefully controlling the time at which each measurement is initiated is an…

Quantum Physics · Physics 2024-05-28 Santiago Oviedo-Casado , Javier Prior , Javier Cerrillo

Low frequency radio waves, while challenging to observe, are a rich source of information about pulsars. The LOw Frequency ARray (LOFAR) is a new radio interferometer operating in the lowest 4 octaves of the ionospheric "radio window":…

The advent of high-throughput sequencing technologies has revolutionized genome analysis by enabling the rapid and cost-effective sequencing of large genomes. Despite these advancements, the increasing complexity and volume of genomic data…

Genomics · Quantitative Biology 2025-03-06 Can Firtina

LOFAR (Low Frequency Array) is an innovative radio telescope optimized for the frequency range 30-240 MHz. The telescope is realized as a phased aperture array without any moving parts. Digital beam forming allows the telescope to point to…

SARS-CoV-2, like any other virus, continues to mutate as it spreads, according to an evolutionary process. Unlike any other virus, the number of currently available sequences of SARS-CoV-2 in public databases such as GISAID is already…

Populations and Evolution · Quantitative Biology 2021-10-13 Sarwan Ali , Tamkanat-E-Ali , Muhammad Asad Khan , Imdadullah Khan , Murray Patterson

Exquisite sensitivities are a prominent advantage of quantum sensors. Ramsey sequences allow precise measurement of direct current fields, while Hahn-echo-like sequences measure alternating current fields. However, the latter are restrained…

Quantum Physics · Physics 2022-09-29 E. D. Herbschleb , I. Ohki , K. Morita , Y. Yoshii , H. Kato , T. Makino , S. Yamasaki , N. Mizuochi

LoRaWAN is nowadays one of the most popular protocols for low-power Internet-of-Things communications. Although its physical layer, namely LoRa, has been thoroughly studied in the literature, aspects related to the synchronization of LoRa…

Signal Processing · Electrical Eng. & Systems 2021-08-03 Mathieu Xhonneux , Orion Afisiadis , David Bol , Jérôme Louveaux

Surges that have been observed at different periods in the number of COVID-19 cases are associated with the emergence of multiple SARS-CoV-2 (Severe Acute Respiratory Virus) variants. The design of methods to support laboratory detection…

The Low Frequency Array (LOFAR) radio telescope is an international aperture synthesis radio telescope used to study the Universe at low frequencies. One of the goals of the LOFAR telescope is to conduct deep wide-field surveys. Here we…

Instrumentation and Methods for Astrophysics · Physics 2018-04-11 A. P. Mechev , J. B. R. Oonk , A. Danezi , T. W. Shimwell , C. Schrijvers , H. T. Intema , A. Plaat , H. J. A. Röttgering

Bam-readcount is a utility for generating low-level information about sequencing data at specific nucleotide positions. Originally designed to help filter genomic mutation calls, the metrics it outputs are useful as input for variant…

SARS-CoV-2 is an upper respiratory system RNA virus that has caused over 3 million deaths and infecting over 150 million worldwide as of May 2021. With thousands of strains sequenced to date, SARS-CoV-2 mutations pose significant challenges…

Quantitative Methods · Quantitative Biology 2021-11-15 Yanyi Ding , Zhiyi Kuang , Yuxin Pei , Jeff Tan , Ziyu Zhang , Joseph Konan

Low-Rank Adaptation (LoRA) has become a standard technique for parameter-efficient fine-tuning of large language models, enabling large libraries of LoRAs, each for a specific task or domain. Efficiently selecting the correct LoRA adapter…

Computation and Language · Computer Science 2025-09-23 William Fleshman , Benjamin Van Durme

The LOw FRequency ARray - LOFAR is a new radio telescope that is moving the science of radio pulsars and transients into a new phase. Its design places emphasis on digital hardware and flexible software instead of mechanical solutions.…

Instrumentation and Methods for Astrophysics · Physics 2012-07-03 Maciej Serylak , Aris Karastergiou , Chris Williams , Wes Armour , LOFAR Pulsar Working Group

Radio frequency fingerprint identification (RFFI) can uniquely classify wireless devices by analyzing the received signal distortions caused by the intrinsic hardware impairments. The state-of-the-art deep learning techniques such as…

Signal Processing · Electrical Eng. & Systems 2021-11-30 Guanxiong Shen , Junqing Zhang , Alan Marshall , Mikko Valkama , Joseph Cavallaro
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