Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge,United Kingdom ; New York, NY
Cambridge University Press
2019
|
| Subjects: | |
| Links: | https://doi.org/10.1017/9781108377737 https://doi.org/10.1017/9781108377737 https://doi.org/10.1017/9781108377737 |
| Abstract: | Integer linear programming (ILP) is a versatile modeling and optimization technique that is increasingly used in non-traditional ways in biology, with the potential to transform biological computation. However, few biologists know about it. This how-to and why-do text introduces ILP through the lens of computational and systems biology. It uses in-depth examples from genomics, phylogenetics, RNA, protein folding, network analysis, cancer, ecology, co-evolution, DNA sequencing, sequence analysis, pedigree and sibling inference, haplotyping, and more, to establish the power of ILP. This book aims to teach the logic of modeling and solving problems with ILP, and to teach the practical 'work flow' involved in using ILP in biology. Written for a wide audience, with no biological or computational prerequisites, this book is appropriate for entry-level and advanced courses aimed at biological and computational students, and as a source for specialists. Numerous exercises and accompanying software (in Python and Perl) demonstrate the concepts |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9781108377737 |
| DOI: | 10.1017/9781108377737 |
Staff View
MARC
| LEADER | 00000nam a22000001c 4500 | ||
|---|---|---|---|
| 001 | BV046029677 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 190702s2019 xxk|||| o|||| 00||| eng d | ||
| 020 | |a 9781108377737 |9 9781108377737 | ||
| 024 | 7 | |a 10.1017/9781108377737 |2 doi | |
| 035 | |a (ZDB-20-CBO)CR9781108377737 | ||
| 035 | |a (OCoLC)1108318241 | ||
| 035 | |a (DE-599)KXP1667559109 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxk |c XA-GB | ||
| 049 | |a DE-12 |a DE-92 | ||
| 050 | 0 | |a QH324.2 | |
| 082 | 0 | |a 570.285 | |
| 100 | 1 | |a Gusfield, Dan |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Integer linear programming in computational and systems biology |b an entry-level text and course |c Dan Gusfield, University of California, Davis |
| 264 | 1 | |a Cambridge,United Kingdom ; New York, NY |b Cambridge University Press |c 2019 | |
| 300 | |b 1 Online-Ressource | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 520 | 3 | |a Integer linear programming (ILP) is a versatile modeling and optimization technique that is increasingly used in non-traditional ways in biology, with the potential to transform biological computation. However, few biologists know about it. This how-to and why-do text introduces ILP through the lens of computational and systems biology. It uses in-depth examples from genomics, phylogenetics, RNA, protein folding, network analysis, cancer, ecology, co-evolution, DNA sequencing, sequence analysis, pedigree and sibling inference, haplotyping, and more, to establish the power of ILP. This book aims to teach the logic of modeling and solving problems with ILP, and to teach the practical 'work flow' involved in using ILP in biology. Written for a wide audience, with no biological or computational prerequisites, this book is appropriate for entry-level and advanced courses aimed at biological and computational students, and as a source for specialists. Numerous exercises and accompanying software (in Python and Perl) demonstrate the concepts | |
| 650 | 0 | 7 | |a Lineare Optimierung |0 (DE-588)4035816-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Systembiologie |0 (DE-588)4809615-5 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Computational biology / Mathematical models | |
| 653 | 0 | |a Systems biology / Mathematical models | |
| 653 | 0 | |a Linear programming | |
| 653 | 0 | |a Computational biology ; Mathematical models | |
| 653 | 0 | |a Systems biology ; Mathematical models | |
| 653 | 0 | |a Linear programming | |
| 689 | 0 | 0 | |a Lineare Optimierung |0 (DE-588)4035816-1 |D s |
| 689 | 0 | 1 | |a Systembiologie |0 (DE-588)4809615-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, hardback |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, paperback |
| 856 | 4 | 0 | |u https://doi.org/10.1017/9781108377737 |x Resolving-System |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-20-CBO | ||
| 912 | |a ZDB-20-CBO | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-031411566 | |
| 966 | e | |u https://doi.org/10.1017/9781108377737 |l DE-12 |p ZDB-20-CBO |q BSB_PDA_CBO |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1017/9781108377737 |l DE-92 |p ZDB-20-CBO |q FHN_PDA_CBO |x Verlag |3 Volltext | |
Record in the Search Index
| _version_ | 1818985841455792128 |
|---|---|
| any_adam_object | |
| author | Gusfield, Dan |
| author_facet | Gusfield, Dan |
| author_role | aut |
| author_sort | Gusfield, Dan |
| author_variant | d g dg |
| building | Verbundindex |
| bvnumber | BV046029677 |
| callnumber-first | Q - Science |
| callnumber-label | QH324 |
| callnumber-raw | QH324.2 |
| callnumber-search | QH324.2 |
| callnumber-sort | QH 3324.2 |
| callnumber-subject | QH - Natural History and Biology |
| collection | ZDB-20-CBO |
| ctrlnum | (ZDB-20-CBO)CR9781108377737 (OCoLC)1108318241 (DE-599)KXP1667559109 |
| dewey-full | 570.285 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 570 - Biology |
| dewey-raw | 570.285 |
| dewey-search | 570.285 |
| dewey-sort | 3570.285 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| doi_str_mv | 10.1017/9781108377737 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03205nam a22005531c 4500</leader><controlfield tag="001">BV046029677</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">190702s2019 xxk|||| o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781108377737</subfield><subfield code="9">9781108377737</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1017/9781108377737</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-20-CBO)CR9781108377737</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1108318241</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1667559109</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxk</subfield><subfield code="c">XA-GB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-92</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QH324.2</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">570.285</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gusfield, Dan</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Integer linear programming in computational and systems biology</subfield><subfield code="b">an entry-level text and course</subfield><subfield code="c">Dan Gusfield, University of California, Davis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge,United Kingdom ; New York, NY</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="b">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Integer linear programming (ILP) is a versatile modeling and optimization technique that is increasingly used in non-traditional ways in biology, with the potential to transform biological computation. However, few biologists know about it. This how-to and why-do text introduces ILP through the lens of computational and systems biology. It uses in-depth examples from genomics, phylogenetics, RNA, protein folding, network analysis, cancer, ecology, co-evolution, DNA sequencing, sequence analysis, pedigree and sibling inference, haplotyping, and more, to establish the power of ILP. This book aims to teach the logic of modeling and solving problems with ILP, and to teach the practical 'work flow' involved in using ILP in biology. Written for a wide audience, with no biological or computational prerequisites, this book is appropriate for entry-level and advanced courses aimed at biological and computational students, and as a source for specialists. Numerous exercises and accompanying software (in Python and Perl) demonstrate the concepts</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Lineare Optimierung</subfield><subfield code="0">(DE-588)4035816-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Systembiologie</subfield><subfield code="0">(DE-588)4809615-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Computational biology / Mathematical models</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Systems biology / Mathematical models</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Linear programming</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Computational biology ; Mathematical models</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Systems biology ; Mathematical models</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Linear programming</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Lineare Optimierung</subfield><subfield code="0">(DE-588)4035816-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Systembiologie</subfield><subfield code="0">(DE-588)4809615-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, hardback</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, paperback</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1017/9781108377737</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CBO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CBO</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031411566</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/9781108377737</subfield><subfield code="l">DE-12</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">BSB_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/9781108377737</subfield><subfield code="l">DE-92</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">FHN_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV046029677 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T18:41:18Z |
| institution | BVB |
| isbn | 9781108377737 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031411566 |
| oclc_num | 1108318241 |
| open_access_boolean | |
| owner | DE-12 DE-92 |
| owner_facet | DE-12 DE-92 |
| physical | 1 Online-Ressource |
| psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Gusfield, Dan Verfasser aut Integer linear programming in computational and systems biology an entry-level text and course Dan Gusfield, University of California, Davis Cambridge,United Kingdom ; New York, NY Cambridge University Press 2019 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Integer linear programming (ILP) is a versatile modeling and optimization technique that is increasingly used in non-traditional ways in biology, with the potential to transform biological computation. However, few biologists know about it. This how-to and why-do text introduces ILP through the lens of computational and systems biology. It uses in-depth examples from genomics, phylogenetics, RNA, protein folding, network analysis, cancer, ecology, co-evolution, DNA sequencing, sequence analysis, pedigree and sibling inference, haplotyping, and more, to establish the power of ILP. This book aims to teach the logic of modeling and solving problems with ILP, and to teach the practical 'work flow' involved in using ILP in biology. Written for a wide audience, with no biological or computational prerequisites, this book is appropriate for entry-level and advanced courses aimed at biological and computational students, and as a source for specialists. Numerous exercises and accompanying software (in Python and Perl) demonstrate the concepts Lineare Optimierung (DE-588)4035816-1 gnd rswk-swf Systembiologie (DE-588)4809615-5 gnd rswk-swf Computational biology / Mathematical models Systems biology / Mathematical models Linear programming Computational biology ; Mathematical models Systems biology ; Mathematical models Lineare Optimierung (DE-588)4035816-1 s Systembiologie (DE-588)4809615-5 s DE-604 Erscheint auch als Druck-Ausgabe, hardback Erscheint auch als Druck-Ausgabe, paperback https://doi.org/10.1017/9781108377737 Resolving-System URL des Erstveröffentlichers Volltext |
| spellingShingle | Gusfield, Dan Integer linear programming in computational and systems biology an entry-level text and course Lineare Optimierung (DE-588)4035816-1 gnd Systembiologie (DE-588)4809615-5 gnd |
| subject_GND | (DE-588)4035816-1 (DE-588)4809615-5 |
| title | Integer linear programming in computational and systems biology an entry-level text and course |
| title_auth | Integer linear programming in computational and systems biology an entry-level text and course |
| title_exact_search | Integer linear programming in computational and systems biology an entry-level text and course |
| title_full | Integer linear programming in computational and systems biology an entry-level text and course Dan Gusfield, University of California, Davis |
| title_fullStr | Integer linear programming in computational and systems biology an entry-level text and course Dan Gusfield, University of California, Davis |
| title_full_unstemmed | Integer linear programming in computational and systems biology an entry-level text and course Dan Gusfield, University of California, Davis |
| title_short | Integer linear programming in computational and systems biology |
| title_sort | integer linear programming in computational and systems biology an entry level text and course |
| title_sub | an entry-level text and course |
| topic | Lineare Optimierung (DE-588)4035816-1 gnd Systembiologie (DE-588)4809615-5 gnd |
| topic_facet | Lineare Optimierung Systembiologie |
| url | https://doi.org/10.1017/9781108377737 |
| work_keys_str_mv | AT gusfielddan integerlinearprogrammingincomputationalandsystemsbiologyanentryleveltextandcourse |