AIMC Topic: Genomics

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Single-cell omics: moving towards a new era in ischemic stroke research.

European journal of pharmacology
Ischemic stroke (IS) is a highly complex and heterogeneous disease involving multiple pathophysiological events. A better understanding of the pathophysiology of IS will enhance preventive, diagnostic and therapeutic strategies. Despite significant a...

The Future of a Myriad of Accelerated Biodiscoveries Lies in AI-Powered Mass Spectrometry and Multiomics Integration.

Journal of mass spectrometry : JMS
The intersection of modern artificial intelligence (AI) and mass spectrometry (MS) is set to transform the MS-based "omics" research fields, particularly proteomics, metabolomics, lipidomics, and glycomics, enabling advancements across a wide range o...

Genomics-assisted breeding for designing salinity-smart future crops.

Plant biotechnology journal
Climate change induces many abiotic stresses, including soil salinity, significantly challenging global agriculture. Salinity stress tolerance (SST) is a complex trait, both physiologically and genetically, and is conferred at various levels of plant...

spaLLM: enhancing spatial domain analysis in multi-omics data through large language model integration.

Briefings in bioinformatics
Spatial multi-omics technologies provide valuable data on gene expression from various omics in the same tissue section while preserving spatial information. However, deciphering spatial domains within spatial omics data remains challenging due to th...

Genomic language models (gLMs) decode bacterial genomes for improved gene prediction and translation initiation site identification.

Briefings in bioinformatics
Accurate bacterial gene prediction is essential for understanding microbial functions and advancing biotechnology. Traditional methods based on sequence homology and statistical models often struggle with complex genetic variations and novel sequence...

Illuminating the Noncoding Genome in Cancer Using Artificial Intelligence.

Cancer research
Understanding the vast noncoding cancer genome requires cutting-edge, high-resolution, and accessible strategies. Artificial intelligence is revolutionizing cancer research, enabling advanced models to analyze genome regulation. This review examines ...

AI-HOPE: an AI-driven conversational agent for enhanced clinical and genomic data integration in precision medicine research.

Bioinformatics (Oxford, England)
MOTIVATION: The growing complexity of clinical cancer research has fueled a surge in demand for automated bioinformatics tools capable of integrating clinical and genomic data to accelerate discovery efforts.

Integrating AI/ML and multi-omics approaches to investigate the role of TNFRSF10A/TRAILR1 and its potential targets in pancreatic cancer.

Computers in biology and medicine
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with a five-year survival of under 10 % despite current therapies. Aggressive tumor biology, a desmoplastic stroma that limits drug delivery and immune cell infiltra...

Evaluating an information theoretic approach for selecting multimodal data fusion methods.

Journal of biomedical informatics
OBJECTIVE: Interest has grown in combining radiology, pathology, genomic, and clinical data to improve the accuracy of diagnostic and prognostic predictions toward precision health. However, most existing works choose their datasets and modeling appr...

Genome Mining and Chemistry-Driven Discovery of a Cell Wall Lipopeptide Signature for subsp. Ancestral Lineage.

ACS infectious diseases
subsp. () causes Johne's disease (JD), a chronic infection responsible for considerable economic losses to dairy industries worldwide. Genetically clonal, has evolved into three distinct genetic lineages designated CII, for bovine strains, and SI ...