Literature DB >> 16004555

Toward the 1,000 dollars human genome.

Simon T Bennett1, Colin Barnes, Anthony Cox, Lisa Davies, Clive Brown.   

Abstract

Revolutionary new technologies, capable of transforming the economics of sequencing, are providing an unparalleled opportunity to analyze human genetic variation comprehensively at the whole-genome level within a realistic timeframe and at affordable costs. Current estimates suggest that it would cost somewhere in the region of 30 million US dollars to sequence an entire human genome using Sanger-based sequencing, and on one machine it would take about 60 years. Solexa is widely regarded as a company with the necessary disruptive technology to be the first to achieve the ultimate goal of the so-called 1,000 dollars human genome - the conceptual cost-point needed for routine analysis of individual genomes. Solexa's technology is based on completely novel sequencing chemistry capable of sequencing billions of individual DNA molecules simultaneously, a base at a time, to enable highly accurate, low cost analysis of an entire human genome in a single experiment. When applied over a large enough genomic region, these new approaches to resequencing will enable the simultaneous detection and typing of known, as well as unknown, polymorphisms, and will also offer information about patterns of linkage disequilibrium in the population being studied. Technological progress, leading to the advent of single-molecule-based approaches, is beginning to dramatically drive down costs and increase throughput to unprecedented levels, each being several orders of magnitude better than that which is currently available. A new sequencing paradigm based on single molecules will be faster, cheaper and more sensitive, and will permit routine analysis at the whole-genome level.

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Year:  2005        PMID: 16004555     DOI: 10.1517/14622416.6.4.373

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  62 in total

1.  Gene-Lifestyle Interactions in Complex Diseases: Design and Description of the GLACIER and VIKING Studies.

Authors:  Azra Kurbasic; Alaitz Poveda; Yan Chen; Asa Agren; Elisabeth Engberg; Frank B Hu; Ingegerd Johansson; Ines Barroso; Anders Brändström; Göran Hallmans; Frida Renström; Paul W Franks
Journal:  Curr Nutr Rep       Date:  2014-12-01

2.  Single molecule transcription profiling with AFM.

Authors:  Jason Reed; Bud Mishra; Bede Pittenger; Sergei Magonov; Joshua Troke; Michael A Teitell; James K Gimzewski
Journal:  Nanotechnology       Date:  2007-05-09       Impact factor: 3.874

Review 3.  Magnetic biosensor technologies for medical applications: a review.

Authors:  J Llandro; J J Palfreyman; A Ionescu; C H W Barnes
Journal:  Med Biol Eng Comput       Date:  2010-06-24       Impact factor: 2.602

4.  Genome assembly comparison identifies structural variants in the human genome.

Authors:  Razi Khaja; Junjun Zhang; Jeffrey R MacDonald; Yongshu He; Ann M Joseph-George; John Wei; Muhammad A Rafiq; Cheng Qian; Mary Shago; Lorena Pantano; Hiroyuki Aburatani; Keith Jones; Richard Redon; Matthew Hurles; Lluis Armengol; Xavier Estivill; Richard J Mural; Charles Lee; Stephen W Scherer; Lars Feuk
Journal:  Nat Genet       Date:  2006-11-22       Impact factor: 38.330

5.  Comparative sequencing of plant genomes: choices to make.

Authors:  Scott Jackson; Steve Rounsley; Michael Purugganan
Journal:  Plant Cell       Date:  2006-05       Impact factor: 11.277

6.  Large-scale production of SAGE libraries from microdissected tissues, flow-sorted cells, and cell lines.

Authors:  Jaswinder Khattra; Allen D Delaney; Yongjun Zhao; Asim Siddiqui; Jennifer Asano; Helen McDonald; Pawan Pandoh; Noreen Dhalla; Anna-Liisa Prabhu; Kevin Ma; Stephanie Lee; Adrian Ally; Angela Tam; Danne Sa; Sean Rogers; David Charest; Jeff Stott; Scott Zuyderduyn; Richard Varhol; Connie Eaves; Steven Jones; Robert Holt; Martin Hirst; Pamela A Hoodless; Marco A Marra
Journal:  Genome Res       Date:  2006-11-29       Impact factor: 9.043

7.  RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays.

Authors:  John C Marioni; Christopher E Mason; Shrikant M Mane; Matthew Stephens; Yoav Gilad
Journal:  Genome Res       Date:  2008-06-11       Impact factor: 9.043

Review 8.  Legume transcription factor genes: what makes legumes so special?

Authors:  Marc Libault; Trupti Joshi; Vagner A Benedito; Dong Xu; Michael K Udvardi; Gary Stacey
Journal:  Plant Physiol       Date:  2009-09-02       Impact factor: 8.340

Review 9.  Drug resistance and genetic mapping in Plasmodium falciparum.

Authors:  Karen Hayton; Xin-Zhuan Su
Journal:  Curr Genet       Date:  2008-09-18       Impact factor: 3.886

10.  Meta Analysis of Gene Expression Data within and Across Species.

Authors:  Ana C Fierro; Filip Vandenbussche; Kristof Engelen; Yves Van de Peer; Kathleen Marchal
Journal:  Curr Genomics       Date:  2008-12       Impact factor: 2.236

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