[PDF][PDF] Clinical bioinformatics desiderata for molecular tumor boards
M Pallocca, M Betti, S Baldinelli… - Briefings in …, 2024 - academic.oup.com
Clinical Bioinformatics is a knowledge framework required to interpret data of medical
interest via computational methods. This area became of dramatic importance in precision …
interest via computational methods. This area became of dramatic importance in precision …
DNA testing for malignant hyperthermia: the reality and the dream
KM Stowell - Anesthesia & Analgesia, 2014 - journals.lww.com
The advent of the polymerase chain reaction and the availability of data from various global
human genome projects should make it possible, using a DNA sample isolated from white …
human genome projects should make it possible, using a DNA sample isolated from white …
Phenotypic profiling with a living biobank of primary rhabdomyosarcoma unravels disease heterogeneity and AKT sensitivity
G Manzella, LD Schreck, WB Breunis… - Nature …, 2020 - nature.com
Cancer therapy is currently shifting from broadly used cytotoxic drugs to patient-specific
precision therapies. Druggable driver oncogenes, identified by molecular analyses, are …
precision therapies. Druggable driver oncogenes, identified by molecular analyses, are …
Developing an integrated genomic profile for cancer patients with the use of NGS data
A Kosvyra, C Maramis, I Chouvarda - Emerging Science Journal, 2019 - ijournalse.org
Abstract Next Generation Sequencing (NGS) technologies has revolutionized genomics
data research by facilitating high-throughput sequencing of genetic material that comes from …
data research by facilitating high-throughput sequencing of genetic material that comes from …
RAP: RNA-Seq Analysis Pipeline, a new cloud-based NGS web application
Background The study of RNA has been dramatically improved by the introduction of Next
Generation Sequencing platforms allowing massive and cheap sequencing of selected RNA …
Generation Sequencing platforms allowing massive and cheap sequencing of selected RNA …
VariantDB: a flexible annotation and filtering portal for next generation sequencing data
G Vandeweyer, L Van Laer, B Loeys… - Genome medicine, 2014 - Springer
Abstract Interpretation of the multitude of variants obtained from next generation sequencing
(NGS) is labor intensive and complex. Web-based interfaces such as Galaxy streamline the …
(NGS) is labor intensive and complex. Web-based interfaces such as Galaxy streamline the …
An Activating Mutation in STAT3 Results in Neonatal Diabetes Through Reduced Insulin Synthesis
T Velayos, R Martínez, M Alonso… - Diabetes, 2017 - Am Diabetes Assoc
Neonatal diabetes mellitus (NDM) is a rare form of diabetes diagnosed within the first 6
months of life. Genetic studies have allowed the identification of several genes linked to the …
months of life. Genetic studies have allowed the identification of several genes linked to the …
Leveraging the power of high performance computing for next generation sequencing data analysis: tricks and twists from a high throughput exome workflow
A Kawalia, S Motameny, S Wonczak, H Thiele… - PloS one, 2015 - journals.plos.org
Next generation sequencing (NGS) has been a great success and is now a standard method
of research in the life sciences. With this technology, dozens of whole genomes or hundreds …
of research in the life sciences. With this technology, dozens of whole genomes or hundreds …
CoVaCS: a consensus variant calling system
Background The advent and ongoing development of next generation sequencing
technologies (NGS) has led to a rapid increase in the rate of human genome re-sequencing …
technologies (NGS) has led to a rapid increase in the rate of human genome re-sequencing …
JWES: a new pipeline for whole genome/exome sequence data processing, management, and gene‐variant discovery, annotation, prediction, and genotyping
Whole genome and exome sequencing (WGS/WES) are the most popular next‐generation
sequencing (NGS) methodologies and are at present often used to detect rare and common …
sequencing (NGS) methodologies and are at present often used to detect rare and common …