2023 - Research.com Genetics in United States Leader Award
2022 - Research.com Best Scientist Award
2018 - Member of the National Academy of Engineering For developments in computational learning theory and bioinformatics, including first assembly of the human genome, its analysis, and data sharing.
2009 - Curt Stern Award, American Society of Human Genetics
2009 - Fellow of the International Society for Computational Biology
2006 - Fellow of the American Academy of Arts and Sciences
2006 - Member of the National Academy of Sciences
2003 - ACM AAAI Allen Newell Award "For contributions bridging computer science and biology through research in computational learning theory, computational biology, and bioinformatics leading to major influences on the understanding of biological macromolecules and the investigation of the human genome."
2002 - Fellow of the American Association for the Advancement of Science (AAAS)
1993 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For scientific contributions to the theory and practice of machine learning.
His primary scientific interests are in Genetics, Genome, Genomics, Computational biology and Human genome. His Genome study combines topics in areas such as Evolutionary biology and ENCODE. His Genomics research includes themes of Exome sequencing, Sequence analysis, Reference genome and Copy-number variation.
His research in Computational biology tackles topics such as 1000 Genomes Project which are related to areas like Genetic association, Genetic variation, Genome-wide association study and Human genetic variation. His studies in Human genome integrate themes in fields like Conserved non-coding sequence, Conserved sequence, Systems biology, Pseudogene and Human genetics. His work carried out in the field of Epigenetics brings together such families of science as Genomic Profile, Cancer genome and Medical genetics.
His main research concerns Genome, Genetics, Computational biology, Genomics and Human genome. His work deals with themes such as Evolutionary biology and ENCODE, which intersect with Genome. His Genetics and Gene, Sequence alignment, Genome evolution, DNA and DNA sequencing investigations all form part of his Genetics research activities.
David Haussler has researched Computational biology in several fields, including Phylogenetic tree, RNA, Whole genome sequencing, Sequence assembly and Hidden Markov model. He has included themes like Cancer, Bioinformatics, Set, World Wide Web and Visualization in his Genomics study. His Genome browser research incorporates themes from Annotation and Database.
His scientific interests lie mostly in Computational biology, Genome, Genomics, Pediatric cancer and Gene. His Computational biology study integrates concerns from other disciplines, such as Personal genomics, Human genome, Sequencing data, T cell and Major histocompatibility complex. His research integrates issues of Annotation, Nanopore sequencing and Sequence assembly in his study of Human genome.
The study incorporates disciplines such as Evolutionary biology, Phylogenetics and Phylogenetic tree in addition to Genome. His study in the fields of Functional genomics under the domain of Genomics overlaps with other disciplines such as Chromothripsis. David Haussler focuses mostly in the field of Gene, narrowing it down to topics relating to Cancer research and, in certain cases, Epithelial–mesenchymal transition and Neuroblastoma.
David Haussler focuses on Genome, Computational biology, Genomics, Human genome and Evolutionary biology. His studies examine the connections between Genome and genetics, as well as such issues in Annotation, with regards to Molecular Sequence Annotation and CRISPR. The Computational biology study combines topics in areas such as Germline mutation, No reference, Sequencing data, T cell and Personal genomics.
The concepts of his Genomics study are interwoven with issues in Phylogenetics, Data visualization, DNA methylation and Indel. His Human genome research is multidisciplinary, incorporating elements of Nanopore sequencing and Sequence assembly. David Haussler combines subjects such as Lineage and Comparative genomics with his study of Evolutionary biology.
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Initial sequencing and analysis of the human genome.
Eric S. Lander;Lauren M. Linton;Bruce Birren;Chad Nusbaum.
A global reference for human genetic variation.
Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin.
Comprehensive molecular portraits of human breast tumours
Daniel C. Koboldt;Robert S. Fulton;Michael D. McLellan;Heather Schmidt.
Initial sequencing and comparative analysis of the mouse genome.
Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers.
Comprehensive molecular characterization of human colon and rectal cancer
Donna M. Muzny;Matthew N. Bainbridge;Kyle Chang;Huyen H. Dinh.
Integrated genomic analyses of ovarian carcinoma
D. Bell;A. Berchuck;M. Birrer;J. Chien.
Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project
Ewan Birney;John A. Stamatoyannopoulos;Anindya Dutta;Roderic Guigó.
Integrative analysis of 111 reference human epigenomes
Anshul Kundaje;Wouter Meuleman;Wouter Meuleman;Jason Ernst.
The cancer genome atlas pan-cancer analysis project
John N Weinstein;John N Weinstein;Eric A. Collisson;Gordon B Mills;Kenna R Mills Shaw;Kenna R Mills Shaw.
Nature Genetics (2013)
GENCODE: The reference human genome annotation for The ENCODE Project
Jennifer Harrow;Adam Frankish;Jose M. Gonzalez;Electra Tapanari.
Genome Research (2012)
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