Computational tools for prioritizing candidate genes: boosting disease gene discovery
Y Moreau, LC Tranchevent - Nature Reviews Genetics, 2012 - nature.com
At different stages of any research project, molecular biologists need to choose—often
somewhat arbitrarily, even after careful statistical data analysis—which genes or proteins to …
somewhat arbitrarily, even after careful statistical data analysis—which genes or proteins to …
Disease gene identification strategies for exome sequencing
C Gilissen, A Hoischen, HG Brunner… - European Journal of …, 2012 - nature.com
Next generation sequencing can be used to search for Mendelian disease genes in an
unbiased manner by sequencing the entire protein-coding sequence, known as the exome …
unbiased manner by sequencing the entire protein-coding sequence, known as the exome …
PredictSNP: robust and accurate consensus classifier for prediction of disease-related mutations
Single nucleotide variants represent a prevalent form of genetic variation. Mutations in the
coding regions are frequently associated with the development of various genetic diseases …
coding regions are frequently associated with the development of various genetic diseases …
Bioinformatics challenges for personalized medicine
GH Fernald, E Capriotti, R Daneshjou… - …, 2011 - academic.oup.com
Motivation: Widespread availability of low-cost, full genome sequencing will introduce new
challenges for bioinformatics. Results: This review outlines recent developments in …
challenges for bioinformatics. Results: This review outlines recent developments in …
Recent advances and emerging applications in text and data mining for biomedical discovery
Precision medicine will revolutionize the way we treat and prevent disease. A major barrier
to the implementation of precision medicine that clinicians and translational scientists face is …
to the implementation of precision medicine that clinicians and translational scientists face is …
Candidate gene association studies: a comprehensive guide to useful in silicotools
The candidate gene approach has been a pioneer in the field of genetic epidemiology,
identifying risk alleles and their association with clinical traits. With the advent of rapidly …
identifying risk alleles and their association with clinical traits. With the advent of rapidly …
Molecular genetic studies of ADHD and its candidate genes: a review
Attention-deficit/hyperactivity disorder (ADHD) is a common childhood-onset psychiatric
disorder with high heritability. In recent years, numerous molecular genetic studies have …
disorder with high heritability. In recent years, numerous molecular genetic studies have …
Prodige: Prioritization of disease genes with multitask machine learning from positive and unlabeled examples
F Mordelet, JP Vert - BMC bioinformatics, 2011 - Springer
Background Elucidating the genetic basis of human diseases is a central goal of genetics
and molecular biology. While traditional linkage analysis and modern high-throughput …
and molecular biology. While traditional linkage analysis and modern high-throughput …
[HTML][HTML] IoMT-based mitochondrial and multifactorial genetic inheritance disorder prediction using machine learning
A genetic disorder is a serious disease that affects a large number of individuals around the
world. There are various types of genetic illnesses, however, we focus on mitochondrial and …
world. There are various types of genetic illnesses, however, we focus on mitochondrial and …
[BOOK][B] Computational systems biology of cancer
Cancer is a complex and heterogeneous disease that exhibits high levels of robustness
against various therapeutic interventions. It is a constellation of diverse and evolving …
against various therapeutic interventions. It is a constellation of diverse and evolving …