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Computational pan-genomics: Status, promises and challenges
The Computational Pan-Genomics Consortium
Electrical and Computer Engineering
National Center for Supercomputing Applications (NCSA)
Carl R. Woese Institute for Genomic Biology
Siebel School of Computing and Data Science
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Keyphrases
Pan-genome
100%
Computational Paradigm
40%
Computational Methods
20%
Genome Sequencing
20%
Computational Biology
20%
Potential Gains
20%
Full Potential
20%
Computer Science
20%
Oncology
20%
Homo Sapiens
20%
Sequenced Genomes
20%
Bioinformatics Methods
20%
Reference Genome
20%
Genomic Data
20%
Application Domain
20%
Enhanced Awareness
20%
Bioinformatics pipeline
20%
Plant Breeding
20%
Computational Problems
20%
Joint Approach
20%
Human Genetics
20%
Plant Virology
20%
Plant Microbiology
20%
Subarea
20%
Medicine and Dentistry
Oncology
100%
Awareness
100%
Human Genetics
100%
Pan-Genome
100%
Biochemistry, Genetics and Molecular Biology
Genomics
100%
Bioinformatics
50%
Scale up
25%
Human Genetics
25%
Awareness
25%
Pan-Genome
25%
Homo sapiens
25%