623 hasil
Menampilkan 1–20 · 0,36 detik · RSS
Journal of Integrative Bioinformatics
Scopus
ISSN 1613-4516 · De Gruyter · 623 artikel di indeks
-
Artikel Jurnal
Advancing cross-domain integration and semantic technologies: proceedings of the 19th international symposium on integrative bioinformatics
This special issue of the Journal of Integrative Bioinformatics presents proceedings from the 19th International Symposium on Integrative Bioinformatics, which was held 10–12 September 2025. The featured contributions address critical bottlenecks in life science data management, specifically…
-
Artikel Jurnal
Pithos – a scalable and secure data container for FAIR-compliant research data management in life sciences
Modern research techniques have led to exponential growth in the volume and complexity of scientific data. Consequently, managing these volumes securely and efficiently has become a major challenge. While all research domains face these challenges, life science research is particularly affected…
-
Artikel Jurnal
Fragment-level FAIRness: annotating scientific data and its provenance using data fragment selectors
Scientific communication depends on the production of FAIR (findable, accessible, interoperable, reusable) data. Yet when datasets are shared, they remain hard to interpret across domains because annotations are tied to heterogeneous file formats and implicit semantics. We present a format-agnostic…
-
Artikel Jurnal
Pheno-App 2.0 – a mobile app for collecting phenotypic data in plant research
Documenting plant phenotypic data in the field is a common task necessary for the preservation of crop plant biodiversity in genebanks. Today, mobile applications are used to record data more efficiently and avoid errors. The Pheno-App is an open-source Android application developed to facilitate…
-
Artikel Jurnal
Fusion of computational and experimental provenance in RO-Crate
Modern research projects typically involve several measurement techniques and computational analyses, resulting in complex, multimodal research data objects. While the FAIR Principles provide a framework for making data Findable, Accessible, Interoperable, and Reusable, researchers must still apply…
-
Artikel Jurnal
The DSMZ Digital Diversity Annotation Hub: a pipeline for database expansion via text mining and human curation
Maintaining scientific databases that depend on continuous curation of research literature often requires labor-intensive, slow, and error-prone annotation processes. To address these challenges, we present a pipeline that integrates text mining with expert supervision to support database…
-
Artikel Jurnal
The community engagement and empowerment cycle: FAIRagro’s framework to foster cultural change towards FAIR RDM practices in agrosystem science and beyond
Open Science is reshaping how research is conducted, yet the sustainable adoption of FAIR (Findable, Accessible, Interoperable, Reusable) research data management (RDM) requires more than technical infrastructures. In agrosystem sciences, heterogeneous data and diverse institutional contexts make…
-
Artikel Jurnal
Evolving bioinformatics services – the journey of KPI metrics with Scorpion
Key Performance Indicators (KPIs) are essential for evaluating project success and establishing control mechanisms to monitor development, performance, and user acceptance of services in joint projects. However, the absence of standardized frameworks and effective monitoring tools, combined with…
-
Artikel Jurnal
Integrating cross-omics research through FAIR Digital Objects with DataPLANT
In plant sciences, single-cell and spatial transcriptomics generate large complex datasets which require structured metadata in order to make them interoperable and reproducible. In this work, we demonstrate how the Annotated Research Context (ARC) can be used for the management of such data using…
-
Artikel Jurnal
Obtaining PDC and other high-added value products from lignin by in silico genetic engineering in Novosphingobium aromaticivorans
Lignin, the second most abundant plant biopolymer on Earth, is produced in large quantities as waste material by many industries. Researchers have studied bacterial metabolic networks as potential candidates for integrating lignin into a biotechnological value chain. The GEM used in this work for…
-
Artikel Jurnal
Functional and evolutionary characteristics of human genes encoding cell surface receptors involved in the regulation of appetite
Appetite is an instinct that has been formed through evolution. Appetite promotes normal growth and development in humans. However, under conditions of food abundance, appetite can become excessive, posing significant health risks. In this study we have identified 80 human genes whose orthologs…
-
Artikel Jurnal
Colon cancer survival prediction from gland shapes within histology slides using deep learning
This study investigates the application of deep learning techniques for segmenting glands in histopathological images of colorectal cancer. We trained two convolutional neural network models, U-Net and DCAN, on a combination of the GlaS and CRAG datasets to enhance generalization across diverse…
-
Artikel Jurnal
Integrating AI and genomics: predictive CNN models for schizophrenia phenotypes
This study explores the use of deep learning to analyze genetic data and predict phenotypic traits associated with schizophrenia, a complex psychiatric disorder with a strong hereditary component yet incomplete genetic characterization. We applied Convolutional Neural Networks models to a…
-
Artikel Jurnal
A ViTUNeT-based model using YOLOv8 for efficient LVNC diagnosis and automatic cleaning of dataset
Left ventricular non-compaction is a cardiac condition marked by excessive trabeculae in the left ventricle’s inner wall. Although various methods exist to measure these structures, the medical community still lacks consensus on the best approach. Previously, we developed DL-LVTQ, a tool based on a…
-
Artikel Jurnal
Fcodes update: a kinship encoding framework with F-Tree GUI & LLM inference
Family structures play a crucial role in personal development, social dynamics, and mental health. Traditional systems for encoding genealogical data, such as Ahnentafel and the Register System, offer methods to document lineage but face limitations, particularly in accommodating horizontal…
-
Artikel Jurnal
Predicting precursors of plant specialized metabolites using DeepMol automated machine learning
Plants produce specialized metabolites, which play critical roles in defending against biotic and abiotic stresses. Due to their chemical diversity and bioactivity, these compounds have significant economic implications, particularly in the pharmaceutical and agrotechnology sectors. Despite their…
-
Artikel Jurnal
Predicting DDI-induced pregnancy and neonatal ADRs using sparse PCA and stacking ensemble approach
Predicting Drug-Drug interaction (DDI)-induced adverse drug reactions (ADRs) using computational methods is challenging due to the availability of limited data samples, data sparsity, and high dimensionality. The issue of class imbalance further increases the intricacy of prediction. Different…