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020 _a9780511800986 (ebook)
020 _z9780521850063 (hardback)
020 _z9780521615211 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQH442
_b.N53 2008
082 0 0 _a660.65
_222
100 1 _aNicholl, Desmond S. T.,
_eauthor.
245 1 3 _aAn introduction to genetic engineering /
_cDesmond S.T. Nicholl.
250 _aThird edition.
264 1 _aCambridge :
_bCambridge University Press,
_c2008.
300 _a1 online resource (xii, 336 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0 _aIntroducing molecular biology -- Working with nucleic acids -- The tools of the trade -- Host cells and vectors -- Cloning strategies -- The polymerase chain reaction -- Selection, screening, and analysis of recombinants -- Bioinformatics -- Understanding genes, genomes, and'otheromes' -- Genetic engineering and biotechnology -- Medical and forensic applications of gene manipulation -- Transgenic plants and animals -- The other sort of cloning -- Brave new world or genetic nightmare?
520 _aIn this third edition of his popular undergraduate-level textbook, Des Nicholl recognises that a sound grasp of basic principles is vital in any introduction to genetic engineering. Therefore, the book retains its focus on the fundamental principles used in gene manipulation. It is divided into three sections: Part I provides an introduction to the relevant basic molecular biology; Part II, the methods used to manipulate genes; and Part III, applications of the technology. There is a new chapter devoted to the emerging importance of bioinformatics as a distinct discipline. Other additional features include text boxes, which highlight important aspects of topics discussed, and chapter summaries, which include aims and learning outcomes. These, along with key word listings, concept maps and a glossary, will enable students to tailor their study to suit their own learning styles and ultimately gain a firm grasp of a subject that students traditionally find difficult.
650 0 _aGenetic engineering.
776 0 8 _iPrint version:
_z9780521850063
856 4 0 _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1017/CBO9780511800986
907 _a.b1689988x
_b2022-10-31
_c2022-01-19
942 _n0
998 _ae
_b2022-01-19
_cm
_dz
_feng
_genk
_y0
_z.b1689988x
999 _c657135
_d657135