Introductory presentation given to the Global Alliance for Genomics and Health Data Working Group. We presented the G'N'Omics Graph Model for efficient whole genome analysis using graph data structures, plus algorithms for graph construction and read alignment
Genome graphs are emerging as an important novel approach to the analysis of high-throughput human s...
Computational pangenomics is an emerging research field that is changing the way computer scientists...
Genome graphs are emerging as an important novel approach to the analysis of high-throughput human s...
Genome databases have specific requirements which limit the usefulness of some da-tabase management ...
The human reference genome provides a framework against which the analysis and interpretation of an ...
Due to the advancement in high throughput technologies and robust experimental designs, more studies...
The use of high-throughput omics technologies is becoming increasingly popular in all facets of biom...
Genetics has known an extraordinary development in the last years, with a reduction of several order...
Thesis (Ph.D.)--University of Washington, 2013Studies of the genetic basis of complex disease presen...
The amount of sequence data has increased exponentially during the last decade. This applies especia...
Graph neural networks (GNNs), as a branch of deep learning in non-Euclidean space, perform particula...
Computational pangenomics is an emerging research field that is changing the way computer scientists...
Background Recent advances in rapid, low-cost sequencing have opened up the opportunity to study ...
<div><p>Genome-wide association studies (GWAS) have identified tens of thousands of genetic variants...
Next Generation Sequencing (NGS) has recently emerged as the main technology behind the majority of ...
Genome graphs are emerging as an important novel approach to the analysis of high-throughput human s...
Computational pangenomics is an emerging research field that is changing the way computer scientists...
Genome graphs are emerging as an important novel approach to the analysis of high-throughput human s...
Genome databases have specific requirements which limit the usefulness of some da-tabase management ...
The human reference genome provides a framework against which the analysis and interpretation of an ...
Due to the advancement in high throughput technologies and robust experimental designs, more studies...
The use of high-throughput omics technologies is becoming increasingly popular in all facets of biom...
Genetics has known an extraordinary development in the last years, with a reduction of several order...
Thesis (Ph.D.)--University of Washington, 2013Studies of the genetic basis of complex disease presen...
The amount of sequence data has increased exponentially during the last decade. This applies especia...
Graph neural networks (GNNs), as a branch of deep learning in non-Euclidean space, perform particula...
Computational pangenomics is an emerging research field that is changing the way computer scientists...
Background Recent advances in rapid, low-cost sequencing have opened up the opportunity to study ...
<div><p>Genome-wide association studies (GWAS) have identified tens of thousands of genetic variants...
Next Generation Sequencing (NGS) has recently emerged as the main technology behind the majority of ...
Genome graphs are emerging as an important novel approach to the analysis of high-throughput human s...
Computational pangenomics is an emerging research field that is changing the way computer scientists...
Genome graphs are emerging as an important novel approach to the analysis of high-throughput human s...
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