
Explore novel analytical technologies providing new insights into the molecular landscape of the human heart, focusing on cell surface proteins and their role in cardiac physiology.

Explore G protein-coupled receptors and receptor activity-modifying proteins interactions through multiplexed mapping, uncovering potential therapeutic targets for various human diseases.

Explore techniques for identifying low-frequency viral variants from Oxford Nanopore sequencing data, enhancing understanding of intra-host viral populations and mutation patterns.

Explore scalable pharmacogenetic screening of CYP2D6 using SMRT long-read amplicon sequencing. Learn computational pipeline development for large sequencing datasets analysis.

Explore neoantigen identification and vaccine design through bioinformatics. Learn about REAL-neo analytic framework and novel modules for tumor sequencing data analysis in immunotherapy research.

Explore how genetic regulatory networks provide insights into health, disease, and potential therapies through examples from large-scale genomic datasets.

Explore high-throughput, automated workflows for TMT and EasyPep sample preparation in quantitative proteomics, focusing on efficiency and reproducibility for large-scale experiments.

Explore the AccelerOme platform's performance in automating proteomics sample preparation, optimizing extraction, digestion, and labeling processes for improved experimental quality.

Explore targeted pathway proteomics using TMT and real-time analytics for GoDig assays. Learn innovative techniques for hypothesis-driven research in systems biology.

Explore cutting-edge proteomics techniques for mapping cell-to-cell communication in cancer immunology, focusing on immune checkpoints and their potential in immunotherapy.

Explore an intelligent data acquisition approach for increasing throughput in multiplexed proteome analyses, enhancing efficiency in quantitative proteomics research.

Learn advanced statistical modeling techniques for complex proteomic experiments using isobaric labeling, focusing on multilevel designs and time-series data analysis.

Explore deep learning and rare event sampling techniques for analyzing climate extremes' impact on power systems.

Explore an interdisciplinary approach to Explainable AI, moving beyond technical interpretations to enhance AI interpretability through socio-technical perspectives and academic-industry collaboration.

Explore ES|QL, Elasticsearch's new query language combining SQL and Bash, for improved performance and seamless integration across Java and Kibana.

ラーニングアナリティクスの重要性と注目度の高まりについて、教育・学習データの活用における最新の研究動向と課題を探求する。

Discover how learning analytics and educational data are transforming teaching and learning methods, from digital textbooks to lecture videos, with practical examples from K-12 and university settings.

教育・学習データの活用事例を通じて、最新の教育支援技術と研究動向について深く理解する機会を提供。データ駆動型の教育実践における具体的な応用例を探求。

Discover how to build and operate open-source communities effectively through Apache Amoro's incubation journey, focusing on key strategies and best practices for community development.

Discover how YTsaurus evolved its big data platform automation, from basic infrastructure needs to advanced user-centric features, managing 20K+ hosts and 4.5K daily active users at Yandex.

Узнайте, как эффективно внедрить Grafana stack для централизованного логирования и трейсинга, включая миграцию с Elastic на Loki и Tempo, масштабирование и решение технических проблем.