Uncover the latest and most impactful research in Sequence Annotation. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the field.
Thrips are widely distributed insects with economic importance, but their evolutionary dynamics of the mitochondrial genome remain poorly understood. This study presented a computational mitogenomic analysis of six Thrips species obtained from a...
Ri6 is a commercially important Vietnamese durian (Durio zibethinusL.) cultivar whose genomic characterization can expand resources for studying fruit quality. We developed and evaluated a reference-guided scaffold assembly using Illumina data and...
Knowledge Tracing (KT) aims to predict a student’s future performance based on their sequence of interactions with learning content. Many KT models rely on knowledge concepts (KCs), which represent the skills required for each item. However, some of...
With the continuous development of long-read RNA-seq, obtaining reliable splice-aware alignments remains a major challenge in transcriptomic analysis. Here, we propose GLASS, a graph-learning-based, precision-oriented post-alignment filtering method...
Corticobasal degeneration (CBD) is a rare and progressive neurodegenerative disorder characterized by asymmetric cortical dysfunction, motor impairment, and cognitive decline, making its diagnosis and classification challenging. Neurological data...
Background High-frequency intracranial pressure (ICP) and arterial blood pressure (ABP) waveforms are increasingly utilized for advanced physiological monitoring and as inputs for machine learning (ML) models. The accuracy of derived parameters...
Babesia ovis is a unicellular parasite of sheep and goats transmitted by the tick Rhipicephalus bursa. B. ovisinfection is widespread and can be lethal, and therefore there is need for a deeper understanding of its biology and pathogenesis. There...
In the fashion industry, sewing defects have traditionally been detected through manual visual inspection, which is limited in accuracy and speed. This study developed an efficient anomaly detection method for the industrial sewing process using...
Clinical information required for surgical data science (SDS) is frequently embedded in unstructured text. We developed and evaluated a reproducible pipeline for selecting locally deployed open-weight large language models (LLMs) for binary symptom...
Accurate segmentation of vestibular schwannoma (VS) on MRI is essential for clinical management, yet large-scale, high-quality annotated datasets remain scarce. We present a publicly available longitudinal VS dataset comprising 534 contrast-enhanced...
Background Large language models (LLMs) are now widely used in numerous text-generation exercises. This trend raises important questions about the scientific literature and the effectiveness of editorial checks. This study aimed to measure the...
Membrane transporter annotation has long relied on a homology-centric paradigm that treats evolutionary proximity as a proxy for substrate specificity. Yet transporter functional space is intrinsically long-tailed, partially multi-label, and often...
Accurate scene text recognition and detection in natural images remain challenging because of variations in text appearance, orientation, illumination, occlusion, and complex backgrounds. These factors significantly affect the reliability of...
To improve the accuracy of wolfberry geographical origin identification, this study proposes a Domain Knowledge-guided Hyperspectral-Text Alignment Network (DKHTA-Net) based on hyperspectral imaging. Visible–near-infrared hyperspectral images of...
The arms race of bacteriophages and their bacterial hosts has inspired major breakthroughs in biotechnology and shaped phages as fierce predators with great clinical potential to fight multidrug-resistant bacterial pathogens. However, the large...
Machine learning-based annotation methods are increasingly used to assess the pathogenicity of genetic variants, but their performance at prioritizing variants for gene-level association testing remains poorly characterized. Here, to better...
Background The Reactome Pathway Knowledgebase provides expert-curated information on human biological pathways, molecular interactions, and disease mechanisms. However, its complex data model and keyword-based search interface present accessibility...
Software systems are increasingly vital in contemporary society, creating a persistent demand for high-quality and maintainable code. However, code smells may emerge during both the design and implementation phases, making software systems more...
News media shape how societies perceive and respond to climate change, yet fine-grained analysis remains hindered by fragmented corpora and ad hoc coding schemes. The Canadian Climate Framing (CCF) database answers both with a large-scale bilingual...
The aim of this study was to present the applicability of Variational Autoencoders (VAE) in the analysis and generation of human gait data, represented by multivariate sequences containing rotations of skeletal joints or 3D positions of anatomically...
Journal
BMC Bioinformaticsis an open access, peer-reviewed journal that considers articles describing novel computational algorithms and software, models...
Journal
BMC Genomics is an open access, peer-reviewed journal that considers articles on all aspects of genetics, genomics, transcriptomics and proteomics. The...
Journal
Archives of Virology publishes original contributions from all branches of research on viruses and virus-like agents that infect humans and other...
