Bioinformatics of genome evolution: from ancestral to modern metabolism : : Phylogenomics and comparative genomics to understand microbial evolution / / Marco Fondi.

Bioinformatics, that is the interdisciplinary field that blends computer science and biostatistics with biological and biomedical sciences, is expected to gain a central role in next feature. Indeed, it has now affected several fields of biology, providing crucial hints for the understanding of biol...

Full description

Saved in:
Bibliographic Details
Superior document:Premio Tesi di Dottorato
VerfasserIn:
Place / Publishing House:Firenze : : Firenze University Press,, 2011.
©2011
Year of Publication:2011
Language:Italian
Series:Premio Tesi di Dottorato.
Physical Description:1 online resource (80 pages).
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 01963nam a2200373 i 4500
001 993603863904498
005 20230517131746.0
006 m o d
007 cr |||||||||||
008 230517s2011 it ob 001 0 ita d
024 7 |a 10.36253/978-88-6655-045-7  |2 doi 
035 |a (CKB)5860000000047036 
035 |a (NjHacI)995860000000047036 
035 |a (EXLCZ)995860000000047036 
040 |a NjHacI  |b eng  |e rda  |c NjHacl 
050 4 |a T58.5  |b .F663 2011 
082 0 4 |a 004  |2 23 
100 1 |a Fondi, Marco,  |e author. 
245 1 0 |a Bioinformatics of genome evolution: from ancestral to modern metabolism :  |b Phylogenomics and comparative genomics to understand microbial evolution /  |c Marco Fondi. 
246 |a Bioinformatics of genome evolution 
264 1 |a Firenze :  |b Firenze University Press,  |c 2011. 
264 4 |c ©2011 
300 |a 1 online resource (80 pages). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Premio Tesi di Dottorato 
588 |a Description based on: online resource; title from PDF information screen (directory.doabooks.org, viewed May 17, 2023). 
520 |a Bioinformatics, that is the interdisciplinary field that blends computer science and biostatistics with biological and biomedical sciences, is expected to gain a central role in next feature. Indeed, it has now affected several fields of biology, providing crucial hints for the understanding of biological systems and also allowing a more accurate design of wet lab experiments. In this work, the analysis of sequence data has be used in different fields, such as evolution (e.g. the assembly and evolution of metabolism), infections control (e.g. the horizontal flow of antibiotic resistance), ecology (bacterial bioremediation). 
504 |a Includes bibliographical references and index. 
650 0 |a Information technology. 
776 |z 88-927-3644-2 
830 0 |a Premio Tesi di Dottorato. 
906 |a BOOK 
ADM |b 2023-06-09 12:36:18 Europe/Vienna  |f System  |c marc21  |a 2022-06-08 16:08:14 Europe/Vienna  |g false 
AVE |i DOAB Directory of Open Access Books  |P DOAB Directory of Open Access Books  |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5337711690004498&Force_direct=true  |Z 5337711690004498  |b Available  |8 5337711690004498