Cutting-edge ai technologies meet precision medicine to improve cancer care
PC Lin, YS Tsai, YM Yeh, MR Shen - Biomolecules, 2022 - mdpi.com
To provide precision medicine for better cancer care, researchers must work on clinical
patient data, such as electronic medical records, physiological measurements, biochemistry …
patient data, such as electronic medical records, physiological measurements, biochemistry …
[HTML][HTML] From GPUs to AI and quantum: three waves of acceleration in bioinformatics
The enormous growth in the amount of data generated by the life sciences is continuously
shifting the field from model-driven science towards data-driven science. The need for …
shifting the field from model-driven science towards data-driven science. The need for …
A Technique for Secure Variant Calling on Human Genome Sequences Using SmartNICs
Genome sequences of individuals constitute sensitive data and must be safeguarded from
unauthorized access or disclosure. While encryption of human genome sequences at rest …
unauthorized access or disclosure. While encryption of human genome sequences at rest …
SWQC: Efficient sequencing data quality control on the next-generation sunway platform
Sequencing data quality control can significantly prevent low-quality data from impacting
downstream applications in bioinformatics. The enormous growth of biological sequencing …
downstream applications in bioinformatics. The enormous growth of biological sequencing …
[HTML][HTML] A GDPR-compliant solution for analysis of large-scale genomics datasets on HPC cloud infrastructure
S Gioiosa, B Chiavarini… - … of Big Data, 2025 - journalofbigdata.springeropen.com
This paper outlines the technical and organizational measures implemented by the Italian
supercomputing center, CINECA, to efficiently collect, process, and store sensitive-omics …
supercomputing center, CINECA, to efficiently collect, process, and store sensitive-omics …
[PDF][PDF] CloudATAC: a cloud-based framework for ATAC-Seq data analysis
Assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq)
generates genome-wide chromatin accessibility profiles, providing valuable insights into …
generates genome-wide chromatin accessibility profiles, providing valuable insights into …
A Bioinformatics Toolkit for Next-Generation Sequencing in Clinical Oncology
S Cabello-Aguilar, JA Vendrell, J Solassol - Current Issues in Molecular …, 2023 - mdpi.com
Next-generation sequencing (NGS) has taken on major importance in clinical oncology
practice. With the advent of targeted therapies capable of effectively targeting specific …
practice. With the advent of targeted therapies capable of effectively targeting specific …
Sequencing technologies and hardware-accelerated parallel computing transform computational genomics research
High-throughput sequencing and hardware-accelerated computing have both developed
tremendously within the last decade. In genomics, progress is fueled by new technologies …
tremendously within the last decade. In genomics, progress is fueled by new technologies …
Biostatistical Aspects of Whole Genome Sequencing Studies: Preprocessing and Quality Control
RO Betschart, C Riccio, D Aguilera‐Garcia… - Biometrical …, 2024 - Wiley Online Library
Rapid advances in high‐throughput DNA sequencing technologies have enabled large‐
scale whole genome sequencing (WGS) studies. Before performing association analysis …
scale whole genome sequencing (WGS) studies. Before performing association analysis …
A Scalable Tool for Democratizing Variant Calling on Human Genomes Using Commodity Clusters
Variant calling is a fundamental task that involves identifying variants in an individual's
genome compared to the reference genome. Knowing these variants is critical for assessing …
genome compared to the reference genome. Knowing these variants is critical for assessing …