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During evolution of microorganisms genomes underwork have different changes in their lengths, gene orders, and gene contents. Investigating these structural rearrangements helps to understand how genomes have been modified over time. Some…

Genomics · Quantitative Biology 2017-06-27 Huda Al-Nayyef , Christophe Guyeux , Marie Petitjean , Didier Hocquet , Jacques M. Bahi

Identification of functional elements of a genome often requires dividing a sequence of measurements along a genome into segments differing from adjacent segments. In many applications, the mean of the measured values at multiple genomic…

Applications · Statistics 2015-06-30 S. B. Girimurugan , Jonathan Dennis , Jinfeng Zhang

Rapidly assaying the diversity of a bacterial species present in a sample obtained from a hospital patient or an evironmental source has become possible after recent technological advances in DNA sequencing. For several applications it is…

High throughput genome sequencing technologies such as RNA-Seq and Microarray have the potential to transform clinical decision making and biomedical research by enabling high-throughput measurements of the genome at a granular level.…

In this paper, to unveil interpretable development-specific gene signatures in human PFC, we propose a novel gene selection method, named Interpretable Causality Gene Selection (ICGS), which adopts a Bayesian Network (BN) to represent…

Neurons and Cognition · Quantitative Biology 2022-11-18 Meng Huang , Xiucai Ye , Tetsuya Sakurai

Motivation: Bacteriophages are viruses infecting bacteria. Being key players in microbial communities, they can regulate the composition/function of microbiome by infecting their bacterial hosts and mediating gene transfer. Recently,…

Genomics · Quantitative Biology 2022-08-15 Jiayu Shang , Xubo Tang , Ruocheng Guo , Yanni Sun

Annotating the structure of protein-coding genes represents a major challenge in the analysis of eukaryotic genomes. This task sets the groundwork for subsequent genomic studies aimed at understanding the functions of individual genes.…

Genomics · Quantitative Biology 2024-03-29 Tomáš Brůna , Lars Gabriel , Katharina J. Hoff

Data science relies on pipelines that are organized in the form of interdependent computational steps. Each step consists of various candidate algorithms that maybe used for performing a particular function. Each algorithm consists of…

Computer Vision and Pattern Recognition · Computer Science 2019-03-04 Aritra Chowdhury , Malik Magdon-Ismail , Bulent Yener

Intrusion detection system (IDS) is a piece of hardware or software that looks for malicious activity or policy violations in a network. It looks for malicious activity or security flaws on a network or system. IDS protects hosts or…

Machine Learning · Computer Science 2024-11-01 Rajana Akter , Shahnure Rabib , Rahul Deb Mohalder , Laboni Paul , Ferdous Bin Ali

Motivation: Identifying the molecular pathways more prone to disruption during a pathological process is a key task in network medicine and, more in general, in systems biology. Results: In this work we propose a pipeline that couples a…

The detection of genomic structural variation (SV) has advanced tremendously in recent years due to progress in high-throughput sequencing technologies. Novel sequence insertions, insertions without similarity to a human reference genome,…

Genomics · Quantitative Biology 2015-04-09 Birte Kehr , Páll Melsted , Bjarni V. Halldórsson

Isochores are long genome segments relatively homogeneous in G+C. A heuristic algorithm based on entropic segmentation has been developed by our group, and a web server implementing all the required components is available. However, a…

Genomics · Quantitative Biology 2009-09-29 Pedro Bernaola-Galván , Pedro Carpena , José L. Oliver

Leak detection in gas pipelines is an important and persistent problem in the Oil and Gas industry. This is particularly important as pipelines are the most common way of transporting natural gas. This research aims to study the ability of…

Machine Learning · Computer Science 2022-09-22 Adebayo Oshingbesan

Accurate protein structural ensembles can be determined with metainference, a Bayesian inference method that integrates experimental information with prior knowledge of the system and deals with all sources of uncertainty and errors as well…

Quantitative Methods · Quantitative Biology 2019-01-24 Thomas Löhr , Carlo Camilloni , Massimiliano Bonomi , Michele Vendruscolo

Nowadays, due to the increasing amount of experimental data obtained by sequencing, the most interest is focused on determining the functions and characteristics of its individual parts of the genome instead of determining the nucleotide…

Genomics · Quantitative Biology 2021-02-09 Marina Galchenkova , Aleksei Korzhenkov

Next-generation sequencing (NGS) is a pivotal technique in genome sequencing due to its high throughput, rapid results, cost-effectiveness, and enhanced accuracy. Its significance extends across various domains, playing a crucial role in…

Genomics · Quantitative Biology 2025-04-28 Fathima Nuzla Ismail , Shanika Amarasoma

A major hindrance to studies of microbial diversity has been that the vast majority of microbes cannot be cultured in the laboratory and thus are not amenable to traditional methods of characterization. Environmental shotgun sequencing…

Genomics · Quantitative Biology 2007-08-24 Sourav Chatterji , Ichitaro Yamazaki , Zhaojun Bai , Jonathan Eisen

Next generation of embedded Information and Communication Technology (ICT) systems are collaborative systems able to perform autonomous tasks. The remarkable expansion of the embedded ICT market, together with the rise and breakthroughs of…

Despite the great developments in information technology, particularly the Internet, computer networks, global information exchange, and its positive impact in all areas of daily life, it has also contributed to the development of…

Networking and Internet Architecture · Computer Science 2017-12-29 Mouhammd Alkasassbeh

In recent years, the rapid development of deep learning has brought great advancements to image and video segmentation methods based on neural networks. However, to unleash the full potential of such models, large numbers of high-quality…

Computer Vision and Pattern Recognition · Computer Science 2022-10-19 Yuying Hao , Yi Liu , Yizhou Chen , Lin Han , Juncai Peng , Shiyu Tang , Guowei Chen , Zewu Wu , Zeyu Chen , Baohua Lai
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