000 02988nam a22005295i 4500
001 978-3-030-67742-8
003 DE-He213
005 20240423125422.0
007 cr nn 008mamaa
008 211006s2021 sz | s |||| 0|eng d
020 _a9783030677428
_9978-3-030-67742-8
024 7 _a10.1007/978-3-030-67742-8
_2doi
050 4 _aQH324.2-324.25
072 7 _aUY
_2bicssc
072 7 _aPS
_2bicssc
072 7 _aCOM082000
_2bisacsh
072 7 _aPSAX
_2thema
082 0 4 _a570.285
_223
245 1 0 _aCase Studies in Systems Biology
_h[electronic resource] /
_cedited by Pavel Kraikivski.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aVIII, 310 p. 104 illus., 80 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Guide to using the book -- Case studies.-Genetic regulatory network -- Synthetic biology switches -- Repressilator -- lac operon -- Bacterial physiology -- Bursting oscillators -- Glycolytic oscillations -- Signaling Pathways -- NF-kB signaling -- Chemotaxis -- Circadian Rhythms -- Cell cycle regulation -- Stem cells differentiation -- T-cells differentiation regulation -- Apoptosis regulation -- Future Trends in Systems Biology.
520 _aThis book provides case studies that can be used in Systems Biology related classes. Each case study has the same structure which answers the following questions: What is the biological problem and why is it interesting? What are the relevant details with regard to cell physiology and molecular mechanisms? How are the details put together into a mathematical model? How is the model analyzed and simulated? What are the results of the model? How do they compare to the known facts of the cell physiology? Does the model make predictions? What can be done to extend the model? The book presents a summary of results and references to more relevant sources. The volume contains the classic collection of topics and studies that are well established yet novel in the systems biology field. .
650 0 _aBioinformatics.
650 0 _aMedical genetics.
650 0 _aStem cells.
650 1 4 _aBioinformatics.
650 2 4 _aMedical Genetics.
650 2 4 _aStem Cell Biology.
700 1 _aKraikivski, Pavel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030677411
776 0 8 _iPrinted edition:
_z9783030677435
776 0 8 _iPrinted edition:
_z9783030677442
856 4 0 _uhttps://doi.org/10.1007/978-3-030-67742-8
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c177714
_d177714