Effective data visualization strategies in untargeted metabolomics DOI Creative Commons
Kevin Mildau, Henry Ehlers, Mara Meisenburg

и другие.

Natural Product Reports, Год журнала: 2024, Номер unknown

Опубликована: Дек. 2, 2024

Covering: 2014 to 2023 for metabolomics, 2002 information visualizationLC-MS/MS-based untargeted metabolomics is a rapidly developing research field spawning increasing numbers of computational tools assisting researchers with their complex data processing, analysis, and interpretation tasks. In this article, we review the entire workflow from perspective visualization, visual analytics integration. Data visualization crucial step at every stage workflow, where it provides core components inspection, evaluation, sharing capabilities. However, due large number available analysis corresponding components, hard both users developers get an overview what already which are suitable analysis. addition, there little cross-pollination between fields leaving be designed in secondary mostly ad hoc fashion. With review, aim bridge gap visualization. First, introduce as topic worthy its own dedicated research, provide primer on cutting-edge into well active metabolomics. We extend discussion best practices they have emerged studies. Second, practical roadmap tool landscape use within field. Here, several stages commonly used strategies examples. context, will also outline promising areas further development. end set recommendations how make visualizations more effective transparent communication results.

Язык: Английский

Sequence, Structure, and Functional Space of Drosophila De Novo Proteins DOI Creative Commons
Lasse Middendorf, Bharat Ravi Iyengar, Lars A. Eicholt

и другие.

Genome Biology and Evolution, Год журнала: 2024, Номер 16(8)

Опубликована: Авг. 1, 2024

During de novo emergence, new protein coding genes emerge from previously nongenic sequences. The proteins they encode are dissimilar in composition and predicted biochemical properties to conserved proteins. However, functional indeed exist. Both identification of their structural characterization experimentally laborious. To identify structured silico, we applied recently developed machine learning based tools found that most different both structure sequence. some adopt known folds, participate cellular reactions, form biomolecular condensates. Apart broadening our understanding evolution, study also provides a large set testable hypotheses for focused experimental studies on function Drosophila.

Язык: Английский

Процитировано

1

scBubbletree: computational approach for visualization of single cell RNA-seq data DOI Creative Commons
Simo Kitanovski,

Yingying Cao,

Dimitris Ttoouli

и другие.

BMC Bioinformatics, Год журнала: 2024, Номер 25(1)

Опубликована: Сен. 13, 2024

Язык: Английский

Процитировано

1

The Importance of Genetic Screening on the Syndromes of Colorectal Cancer and Gastric Cancer: A 2024 Update DOI Creative Commons

Iulia Lupan,

Ciprian Silaghi,

Claudia Stroe

и другие.

Biomedicines, Год журнала: 2024, Номер 12(12), С. 2655 - 2655

Опубликована: Ноя. 21, 2024

Gastrointestinal cancers (GIC), encompassing colonic, rectal, and gastric malignancies, rank among the most prevalent cancer types globally, contributing significantly to cancer-related mortality. In scientific literature, various syndromes associated with colorectal have been elucidated, highlighting intricate interplay between genetic factors disease manifestation. The primary objective of this study was conduct a exploration aimed at elucidating these associations identifying shared determinants across types. Notably, considerable research has focused on KRAS gene mutations, polymorphisms in nucleic acids, Wnt signaling pathway, role chemokine ligands tumorigenesis. While investigations into natural plant extracts as potential therapeutic agents are still their nascent stages, they represent promising avenue for future research. Ongoing studies essential uncover suitable biomarkers that could facilitate identification understanding links GIC. This not only seeks enhance our comprehension underlying architecture but also aims inform development targeted therapies preventive strategies.

Язык: Английский

Процитировано

1

Effective data visualization strategies in untargeted metabolomics DOI Creative Commons
Kevin Mildau, Henry Ehlers, Mara Meisenburg

и другие.

Natural Product Reports, Год журнала: 2024, Номер unknown

Опубликована: Дек. 2, 2024

Covering: 2014 to 2023 for metabolomics, 2002 information visualizationLC-MS/MS-based untargeted metabolomics is a rapidly developing research field spawning increasing numbers of computational tools assisting researchers with their complex data processing, analysis, and interpretation tasks. In this article, we review the entire workflow from perspective visualization, visual analytics integration. Data visualization crucial step at every stage workflow, where it provides core components inspection, evaluation, sharing capabilities. However, due large number available analysis corresponding components, hard both users developers get an overview what already which are suitable analysis. addition, there little cross-pollination between fields leaving be designed in secondary mostly ad hoc fashion. With review, aim bridge gap visualization. First, introduce as topic worthy its own dedicated research, provide primer on cutting-edge into well active metabolomics. We extend discussion best practices they have emerged studies. Second, practical roadmap tool landscape use within field. Here, several stages commonly used strategies examples. context, will also outline promising areas further development. end set recommendations how make visualizations more effective transparent communication results.

Язык: Английский

Процитировано

1