A5035792920- Cancer Genomics and Diagnostics
- Renal cell carcinoma treatment
- Bioinformatics and Genomic Networks
- Renal and related cancers
- Gene Regulatory Network Analysis
- Genomics and Chromatin Dynamics
- Gene expression and cancer classification
- Evolution and Genetic Dynamics
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Enzyme Structure and Function
- RNA modifications and cancer
- Quantum Computing Algorithms and Architecture
- Epigenetics and DNA Methylation
- Cancer-related molecular mechanisms research
- Quantum Information and Cryptography
- Machine Learning and Algorithms
- Genetic factors in colorectal cancer
- Chromosomal and Genetic Variations
- Computability, Logic, AI Algorithms
- Nutrition, Genetics, and Disease
- Algorithms and Data Compression
- Genomics and Rare Diseases
- RNA Research and Splicing
University of Latvia
2015-2025
Coventry University
2022
Institute of Electronics and Computer Science
2011-2015
Centre for Human Genetics
2009
Oxford Centre for Diabetes, Endocrinology and Metabolism
2009
Churchill Hospital
2009
Institute for Molecular Medicine Finland
2009
European Bioinformatics Institute
2009
University of Glasgow
2004
City, University of London
2001
We have performed a metabolite quantitative trait locus (mQTL) study of the (1)H nuclear magnetic resonance spectroscopy ((1)H NMR) metabolome in humans, building on recent targeted knowledge genetic drivers metabolic regulation. Urine and plasma samples were collected from two cohorts individuals European descent, with one cohort comprised female twins donating longitudinally. Sample concentrations quantified by NMR tested for association genome-wide single-nucleotide polymorphisms (SNPs)....
Abstract Purpose: Patients with resected localized clear-cell renal cell carcinoma (ccRCC) remain at variable risk of recurrence. Incorporation biomarkers may refine prediction and inform adjuvant treatment decisions. We explored the role tumor genomics in this setting, leveraging largest cohort to date ccRCC tissues subjected targeted gene sequencing. Experimental Design: The somatic mutation status 12 genes was determined 943 cases from a multinational patients, associations outcomes were...
Abstract Summary: SIMBioMS is a web-based open source software system for managing data and information in biomedical studies. It provides solution the collection, storage, management retrieval of about research subjects samples, as well experimental obtained using range high-throughput technologies, including gene expression, genotyping, proteomics metabonomics. The can easily be customized has proven to successful several large-scale multi-site collaborative projects. compatible with...
Abstract Background One of the crucial aspects day-to-day laboratory information management is collection, storage and retrieval about research subjects biomedical samples. An efficient link between sample data experiment results absolutely imperative for a successful outcome study. Currently available software solutions are largely limited to large-scale, expensive commercial Laboratory Information Management Systems (LIMS). Acquiring such LIMS indeed can bring higher level, but often...
Mass spectrometry (MS)‐based quantitative proteomics experiments typically assay a subset of up to 60% the ≈20 000 human protein coding genes. Computational methods for imputing missing values using RNA expression data usually allow only imputations proteins measured in at least some samples. In silico comprehensively estimating abundances across all are still missing. Here, novel method is proposed deep learning extrapolate observed label‐free MS proteins, leveraging gene functional...
Abstract Motivation: The evolution of protein sequences can be described by a stepwise process, where each step involves changes few amino acids. In similar manner, the folds at least partially an analogous comparatively simple affecting secondary structure elements. A number such steps, justified biologically confirmed examples, have previously been proposed other researchers. However, unlike situation with sequences, as far we know there no attempts to estimate comparative probabilities...
This research paper proposes a hybrid quantum key distribution (QKD)-based framework for secure enterprise communication using post-quantum cryptography (PQC) and smart cards. The discusses the limitations of current PQC implementations need approach that combines classical non-PQC algorithms with quantum-resistant to establish channels. proposed utilizes point-to-point QKD links between devices shared secret key, which is then used encrypt decrypt data algorithms. Smart cards are...
Abstract Background Current Hi-C technologies for chromosome conformation capture allow to understand a broad spectrum of functional interactions between genome elements. Although significant progress has been made into analysis data identify biologically features, many questions still remain open, in particular regarding potential biological significance various topological features that are characteristic chromatin interaction networks. Results It previously observed promoter (PCHi-C)...
Gene regulatory networks can be modelled in various ways depending on the level of detail required and biological questions addressed. One earliest formalisms used for modeling is a Boolean network, although these models cannot describe most temporal aspects system. Differential equation have also been to model gene networks, but frameworks tend too detailed large many quantitative parameters might not deducible practice. Hybrid bridge gap between two classes - are useful when concentration...
Current high-throughput experimental techniques make it feasible to infer gene regulatory interactions at the whole-genome level with reasonably good accuracy. Such experimentally inferred networks have become available for a number of simpler model organisms such as S. cerevisiae, and others. The availability provides an opportunity compare processes whole genome level, in particular, assess similarity homologous pairs either from same or different species. We present here new technique...
In this paper we study evolution of gene regulatory networks from the graph-theoretic perspective.We consider two duplication models that are based on those studied before, but more general and/or mathematically precise than previously published schemes.Our aims to assess biological appropriateness proposed and possibilities reconstruction history solely basis network topology.For one models, which is fully deterministic, provide an exact algorithm for evolutionary network.The applicable in...