The Human Genome Project: Lessons from Large-Scale Biology

By F. S. Collins, M. Morgan, A. Patrinos. 2003

1,177 citations recorded by the source corpus.

Subfields: Cancer Research, Molecular Biology

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Citations in the corpus

Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine (2020, background): “With the completion of the International Human Genome Project in 2003 [66], we entered an era known as the post-genome era, and the momentum for the application of genomic information in medicine has increased.”
Comparison of Next-Generation Sequencing Systems (2012, methodology): “Emerged in 1998, the automatic sequencing instruments and associated software using the capillary sequencing machines and Sanger sequencing technology became the main tools for the completion of human genome project in 2001 [3].”
Integrating phenotype ontologies across multiple species (2010, neutral): “The completion of the Human Genome Project [1,2] has resulted in an increase in high-throughput systematic projects aimed at elucidating the molecular basis of human disease.”
Advances in molecular technology and their impact on fisheries genetics (2008, background): “The human genome project started in 1982, took 15 years and cost about US$3 billion (Collins et al. 2003) – in contrast, sequencing a recent human genome with the same basic technology (Levy et al.”
Information Retrieval: A Biomedical and Health Perspective (2020, background): “Marchionini looked beyond fact lookup to “exploratory search,” where users also engage in learning and investigation [44].”
Darwinism, behavioral genetics, and organizational behavior: A review and agenda for future research. (2006, background): “To prevent unethical use of genetic testing and genetic information, as of early 2003, more than 40 states in the United States have passed genetic non-discrimination bills (Collins et al., 2003), and the Genetic Non-discrimination Bill was moving forward in the United States Senate.”
Advanced sequencing technologies: methods and goals (2004, positive): “Over the course of a decade, through the parallelization, automation and refinement of established sequencing methods, the HGP motivated a 100-fold reduction in sequencing costs, from US d10 per finished base to 10 finished bases per US d1 (Ref”
MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment (2004, methodology): “The need for software to perform these tasks is now well recognised.(1) 7 This software must contain fast computational algorithms and useful statistical methods and have an extensive”