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- 1From: BMC Bioinformatics. (Vol. 25, Issue 1) Peer-ReviewedBackground High-dimensional omics data are increasingly utilized in clinical and public health research for disease risk prediction. Many previous sparse methods have been proposed that using prior knowledge, e.g.,...
- 2From: BMC Bioinformatics. (Vol. 25, Issue 1) Peer-ReviewedBackground With the generation of vast compendia of biological datasets, the challenge is how best to interpret 'omics data alongside biochemical and other small-scale experiments to gain meaningful biological...
- 3From: BMC Bioinformatics. (Vol. 25, Issue 1) Peer-ReviewedBackground Chromosome is one of the most fundamental part of cell biology where DNA holds the hierarchical information. DNA compacts its size by forming loops, and these regions house various protein particles,...
- 4From: BMC Bioinformatics. (Vol. 25, Issue 1) Peer-ReviewedBackground N6-methyladenosine (m.sup.6A) is the most prevalent post-transcriptional modification in eukaryotic cells that plays a crucial role in regulating various biological processes, and dysregulation of m.sup.6A...
- 5From: BMC Bioinformatics. (Vol. 25, Issue 1) Peer-ReviewedBackground Whole genome variants offer sufficient information for genetic prediction of human disease risk, and prediction of animal and plant breeding values. Many sophisticated statistical methods have been developed...
- 6From: BMC Bioinformatics. (Vol. 25, Issue 1) Peer-ReviewedBackground Metagenomic profiling algorithms commonly rely on genomic differences between lineages, strains, or species to infer the relative abundances of sequences present in a sample. This observation plays an...
- 7From: BMC Bioinformatics. (Vol. 25, Issue 1) Peer-ReviewedBackground Discovery biological motifs plays a fundamental role in understanding regulatory mechanisms. Computationally, they can be efficiently represented as kmers, making the counting of these elements a critical...
- 8From: BMC Bioinformatics. (Vol. 25, Issue 1) Peer-ReviewedBackground Next-generation sequencing (NGS) technologies offer fast and inexpensive identification of DNA sequences. Somatic sequencing is among the primary applications of NGS, where acquired (non-inherited) variants...
- 9From: BMC Bioinformatics. (Vol. 25, Issue 1) Peer-ReviewedIn the battle of the host against lentiviral pathogenesis, the immune response is crucial. However, several questions remain unanswered about the interaction with different viruses and their influence on disease...
- 10From: BMC Bioinformatics. (Vol. 25, Issue 1) Peer-ReviewedBackground Nanobodies, also known as VHH or single-domain antibodies, are unique antibody fragments derived solely from heavy chains. They offer advantages of small molecules and conventional antibodies, making them...
- 11From: BMC Bioinformatics. (Vol. 25, Issue 1) Peer-ReviewedBackground Classifying breast cancer subtypes is crucial for clinical diagnosis and treatment. However, the early symptoms of breast cancer may not be apparent. Rapid advances in high-throughput sequencing technology...
- 12From: BMC Bioinformatics. (Vol. 25, Issue 1) Peer-ReviewedThe global spread of the SARS-CoV-2 pandemic, originating in Wuhan, China, has had profound consequences on both health and the economy. Traditional alignment-based phylogenetic tree methods for tracking epidemic...
- 13From: BMC Bioinformatics. (Vol. 25, Issue 1) Peer-ReviewedCancer is one of the leading causes of deaths worldwide. Survival analysis and prediction of cancer patients is of great significance for their precision medicine. The robustness and interpretability of the survival...
- 14From: BMC Bioinformatics. (Vol. 25, Issue 1) Peer-ReviewedDeep learning methods have emerged as powerful tools for analyzing histopathological images, but current methods are often specialized for specific domains and software environments, and few open-source options exist for...
- 15From: BMC Bioinformatics. (Vol. 20, Issue 1) Peer-ReviewedBackground Ontology has attracted substantial attention from both academia and industry. Handling uncertainty reasoning is important in researching ontology. For example, when a patient is suffering from cirrhosis, the...
- 16From: BMC Bioinformatics. (Vol. 20, Issue Suppl 2) Peer-ReviewedBackground Several methods to handle data generated from bottom-up proteomics via liquid chromatography-mass spectrometry, particularly for peptide-centric quantification dealing with post-translational modification...
- 17From: BMC Bioinformatics. (Vol. 20, Issue 1) Peer-ReviewedBackground Canonical correlation analysis (CCA) is a classic statistical tool for investigating complex multivariate data. Correspondingly, it has found many diverse applications, ranging from molecular biology and...
- 18From: BMC Bioinformatics. (Vol. 20, Issue 1) Peer-ReviewedBackground In the last few decades, cumulative experimental researches have witnessed and verified the important roles of microRNAs (miRNAs) in the development of human complex diseases. Benefitting from the rapid...
- 19From: BMC Bioinformatics. (Vol. 20, Issue 1) Peer-ReviewedBackground Many medical imaging techniques utilize fitting approaches for quantitative parameter estimation and analysis. Common examples are pharmacokinetic modeling in dynamic contrast-enhanced (DCE) magnetic...
- 20From: BMC Bioinformatics. (Vol. 19, Issue Suppl 13) Peer-ReviewedBackground Molecular Recognition Features (MoRFs) are short protein regions present in intrinsically disordered protein (IDPs) sequences. MoRFs interact with structured partner protein and upon interaction, they...