AIMC Topic: Genomics

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Multi-omics analysis of parthanatos related molecular subgroup and prognostic model development in stomach adenocarcinoma.

PloS one
Stomach adenocarcinoma (STAD), the most prevalent histological subtype of gastric cancer, exhibits high heterogeneity and poor prognosis, posing significant therapeutic challenges. Parthanatos, a distinct form of regulated cell death mediated by poly...

Applications of New Generation Sequencing (NGS) in Ocular Oncology.

International ophthalmology clinics
Next-generation sequencing (NGS) has revolutionized cancer genomics, offering unparalleled insights into the molecular landscape of various malignancies, including ocular cancers. This review explores the role of NGS in ocular oncology, highlighting ...

TEtrimmer: a tool to automate the manual curation of transposable elements.

Nature communications
Transposable elements (TEs) are repetitive DNA sequences that move within genomes and play important roles in gene regulation and genome evolution. Accurate TE annotation in genomesĀ is crucial for downstream analyses but challenging due to their sequ...

Next-generation translational genomics for developing future crops.

Functional & integrative genomics
Advancements in translational genomics have revolutionized crop breeding, driving us from traditional breeding methods towards next-generation strategies that integrate genomic, transcriptomic, and phenotypic data to expedite crop improvement. There ...

Harnessing AI for precision medicine and its applications in genomics, systems pharmacology, and drug discovery.

European journal of pharmacology
Artificial intelligence and machine learning are revolutionizing pharmaceutical research by enabling the rapid analysis of complex datasets and automating critical tasks throughout the drug-development process. In this review, we surveyed how artific...

A New Approach to Large Multiomics Data Integration.

Analytical chemistry
Data reduction and data mining are common practices for handling large-scale data from wide-ranging sources, but high-dimensional omics and imaging data sets present difficult challenges for feature extraction and data mining due to the large number ...

Revolution and advances in gene editing and genomics technology for developing climate-resilient legume crops: developments and prospects.

Plant molecular biology
Legumes are essential for agriculture and food security. Biotic and abiotic stresses pose significant challenges to legume production, lowering productivity levels. Most legumes must be genetically improved by introducing alleles that give pest and d...

Sarah Teichmann: Science always wins if we work together.

The Journal of experimental medicine
Sarah Teichmann is a professor at the University of Cambridge, where she leads a research group that uses a combination of genomics, artificial intelligence (AI), and bioinformatics to further understand various aspects of immunity. She is also one o...

A review on multi-omics integration for aiding study design of large scale TCGA cancer datasets.

BMC genomics
BACKGROUND: Rapid advancements in high-throughput sequencing technologies allow for detailed and accurate measurement of omics features within their biological context. The integration of different omics types creates heterogeneous datasets, presenti...

Recent developments in omics studies and artificial intelligence in depression and suicide.

Translational psychiatry
Major depressive disorder (MDD) is the most prevalent and severe form of mental illness and is significantly linked to suicide. At present, addressing the treatment and prevention of depression and suicide poses significant challenges, largely due to...