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Methane is one of the most potent greenhouse gases, and its short atmospheric half-life makes it a prime target to rapidly curb global warming. However, current methane emission monitoring techniques primarily rely on approximate emission…

Geophysics · Physics 2023-08-23 Bertrand Rouet-Leduc , Thomas Kerdreux , Alexandre Tuel , Claudia Hulbert

The interpretation of count data originating from the current generation of DNA sequencing platforms requires special attention. In particular, the per-sample library sizes often vary by orders of magnitude from the same sequencing run, and…

Quantitative Methods · Quantitative Biology 2015-06-17 Paul J. McMurdie , Susan Holmes

DNA samples are often pooled, either by experimental design, or because the sample itself is a mixture. For example, when population allele frequencies are of primary interest, individual samples may be pooled together to lower the cost of…

Quantitative Methods · Quantitative Biology 2013-02-07 Darren Kessner , Tom Turner , John Novembre

Repetitive elements are important in genomic structures, functions and regulations, yet effective methods in precisely identifying repetitive elements in DNA sequences are not fully accessible, and the relationship between repetitive…

Genomics · Quantitative Biology 2016-08-03 Changchuan Yin

Statistical analysis of DNA mixtures is known to pose computational challenges due to the enormous state space of possible DNA profiles. We propose a Bayesian network representation for genotypes, allowing computations to be performed…

Methodology · Statistics 2014-02-21 Therese Graversen , Steffen Lauritzen

Guidance provides a simple and effective framework for posterior sampling by steering the generation process towards the desired distribution. When modeling discrete data, existing approaches mostly focus on guidance with the first-order…

Machine Learning · Computer Science 2026-04-16 Zhengyan Wan , Yidong Ouyang , Liyan Xie , Fang Fang , Hongyuan Zha , Guang Cheng

Motivation: Modelling methods that find structure in data are necessary with the current large volumes of genomic data, and there have been various efforts to find subsets of genes exhibiting consistent patterns over subsets of treatments.…

Machine Learning · Computer Science 2016-09-15 Kerstin Bunte , Eemeli Leppäaho , Inka Saarinen , Samuel Kaski

The research reported in this paper identifies the epigenetic biomarker (methylation beta pattern) of breast cancer. Many cancers are triggered by abnormal gene expression levels caused by aberrant methylation of CpG sites in the DNA. In…

Genomics · Quantitative Biology 2019-10-16 Maxim Vaysburd

A novel method to classify human cells is presented in this work based on the transform-domain method on DNA methylation data. DNA methylation profile variations are observed in human cells with the progression of disease stages, and the…

Genomics · Quantitative Biology 2020-01-01 Xueyuan Zhao , Dario Pompili

In Cowell et al. (2007), a Bayesian network for analysis of mixed traces of DNA was presented using gamma distributions for modelling peak sizes in the electropherogram. It was demonstrated that the analysis was sensitive to the choice of a…

Methodology · Statistics 2013-06-21 Therese Graversen , Steffen Lauritzen

Next generation sequencing technology rapidly produces massive volume of data and quality control of this sequencing data is essential to any genomic analysis. Here we present MEEPTOOLS, which is a collection of open-source tools based on…

Genomics · Quantitative Biology 2015-12-11 Vishal N. Koparde , Hardik I. Parikh , Steven P. Bradley , Nihar U. Sheth

A Deep Autoencoder based content retrieval algorithm is proposed for prediction and differentiation of cancer types based on the presence of epigenetic patterns of DNA methylation identified in genetic regions known as CpG islands. The…

Quantitative Methods · Quantitative Biology 2018-10-08 Mohammed Khwaja , Melpomeni Kalofonou , Chris Toumazou

Previous theoretical studies have shown that measuring the transverse current across DNA strands while they translocate through a nanopore or channel may provide a statistically distinguishable signature of the DNA bases, and may thus allow…

Soft Condensed Matter · Physics 2009-11-21 Matt Krems , Michael Zwolak , Yuriy V. Pershin , Massimiliano Di Ventra

The PHASE software package allows phylogenetic tree construction with a number of evolutionary models designed specifically for use with RNA sequences that have conserved secondary structure. Evolution in the paired regions of RNAs occurs…

Populations and Evolution · Quantitative Biology 2007-05-23 Cendrine Hudelot , Vivek Gowri-Shankar , Howsun Jow , Magnus Rattray , Paul G. Higgs

In DNA computing, it is impossible to decide whether a specific hybridization among complex DNA molecules is effective or not within acceptable time. In order to address this common problem, we introduce a new method based on the machine…

Quantitative Methods · Quantitative Biology 2018-07-03 Weijun Zhu

In biological research machine learning algorithms are part of nearly every analytical process. They are used to identify new insights into biological phenomena, interpret data, provide molecular diagnosis for diseases and develop…

This paper presents a probabilistic approach for DNA sequence analysis. A DNA sequence consists of an arrangement of the four nucleotides A, C, T and G and different representation schemes are presented according to a probability measure…

Quantitative Methods · Quantitative Biology 2010-02-12 Amrita Priyam , B. M. Karan , G. Sahoo

Questions of understanding and quantifying the representation and amount of information in organisms have become a central part of biological research, as they potentially hold the key to fundamental advances. In this paper, we demonstrate…

Genomics · Quantitative Biology 2007-10-30 H. M. Aktulga , I. Kontoyiannis , L. A. Lyznik , L. Szpankowski , A. Y. Grama , W. Szpankowski

Summary: Longer sequencing reads, with at least 200 bases per template are now common. While traditional aligners have adopted new strategies to improve the mapping of longer reads, aligners specific to bisulfite-sequencing were optimized…

Genomics · Quantitative Biology 2014-05-14 Brent S. Pedersen , Kenneth Eyring , Subhajyoti De , Ivana V. Yang , David A. Schwartz

Pyrosequencing is emerging as one of the important next-generation sequencing technologies. We derive the statistical distributions of this technique in terms of nucleotide probabilities of the target sequences. We give exact distributions…

Genomics · Quantitative Biology 2024-05-28 Yong Kong