Add DNA sequencing history

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eprint = {https://www.pnas.org/content/74/12/5463.full.pdf},
journal = {Proceedings of the National Academy of Sciences}
}

@Article{InternationalHumanGenomeSequencingConsortium2004,
author = {Consortium, International Human Genome Sequencing},
title = {Finishing the euchromatic sequence of the human genome},
journal = {Nature},
year = 2004,
month = {Oct},
day = 01,
volume = 431,
number = 7011,
pages = {931-945},
abstract = {The sequence of the human genome encodes the genetic
instructions for human physiology, as well as rich information
about human evolution. In 2001, the International Human Genome
Sequencing Consortium reported a draft sequence of the
euchromatic portion of the human genome. Since then, the
international collaboration has worked to convert this draft
into a genome sequence with high accuracy and nearly complete
coverage. Here, we report the result of this finishing
process. The current genome sequence (Build 35) contains 2.85
billion nucleotides interrupted by only 341 gaps. It covers
99{\%} of the euchromatic genome and is accurate to an error
rate of 1 event per 100,000 bases. Many of the remaining
euchromatic gaps are associated with segmental duplications
and will require focused work with new methods. The
near-complete sequence, the first for a vertebrate, greatly
improves the precision of biological analyses of the human
genome including studies of gene number, birth and death.
Notably, the human genome seems to encode only 20,000--25,000
protein-coding genes. The genome sequence reported here should
serve as a firm foundation for biomedical research in the
decades ahead.},
issn = {1476-4687},
doi = {10.1038/nature03001},
url = {https://doi.org/10.1038/nature03001}
}

@Article{Schloss2008,
author = {Schloss, Jeffery A.},
title = {How to get genomes at one ten-thousandth the cost},
journal = {Nature Biotechnology},
year = 2008,
month = {Oct},
day = 01,
volume = 26,
number = 10,
pages = {1113-1115},
abstract = {The NHGRI's Advanced DNA Sequencing Technology program is
spearheading the development of platforms that will bring
routine whole-genome sequencing closer to reality.},
issn = {1546-1696},
doi = {10.1038/nbt1008-1113},
url = {https://doi.org/10.1038/nbt1008-1113}
}