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020 _a9781493992249
_9978-1-4939-9224-9
024 7 _a10.1007/978-1-4939-9224-9
_2doi
050 4 _aQH588.S83
072 7 _aPSC
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072 7 _aSCI072000
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072 7 _aPSC
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082 0 4 _a571.6
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082 0 4 _a616.02774
_223
245 1 0 _aComputational Stem Cell Biology
_h[electronic resource] :
_bMethods and Protocols /
_cedited by Patrick Cahan.
250 _a1st ed. 2019.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Humana,
_c2019.
300 _aXI, 456 p. 107 illus., 95 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMethods in Molecular Biology,
_x1940-6029 ;
_v1975
505 0 _aAgent-Based Modeling to Delineate Spatiotemporal Control Mechanisms of the Stem Cell Niche -- Modeling Cellular Differentiation and Reprogramming with Gene Regulatory Networks -- Cell Population Model to Track Stochastic Cellular Decision-Making during Differentiation -- Automated Formal Reasoning to Uncover Molecular Programs of Self-Renewal -- Mathematical Modeling of Clonal Stem Cell Dynamics -- Computational Tools for Quantifying Concordance in Single Cell Fate -- Quantitative Modeling of the Waddington Epigenetic Landscape -- Modeling Gene Networks to Understand Multistability in Stem Cells -- Trajectory Algorithms to Infer Stem Cell Fate Decisions -- Gene Regulatory Networks from Single Cell Data for Exploring Cell Fate Decisions -- Reconstructing Gene Regulatory Networks that Control Hematopoietic Commitment -- Investigating Cell Fate Decisions with ICGS Analysis of Single Cells -- Lineage Inference and Stem Cell Identity Prediction using Single Cell RNA-Sequencing Data -- Dynamic Network Modeling of Stem Cell Metabolism -- Metabolomics in Stem Cell Biology Research -- Molecular Interaction Networks to Select Factors for Cell Conversion -- A Computational Approach for Cell Fate Reprogramming -- Computational Analysis of Aneuploidy in Pluripotent Stem Cells -- Cell Fate Engineering Tools for iPSC Disease Modeling.
520 _aThis volume details methods and protocols to further the study of stem cells within the computational stem cell biology (CSCB) field. Chapters are divided into four sections covering the theory and practice of modeling of stem cell behavior, analyzing single cell genome-scale measurements, reconstructing gene regulatory networks, and metabolomics. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Stem Cell Biology: Methods and Protocols will be an invaluable guide to researchers as they explore stem cells from the perspective of computational biology.
650 0 _aStem cells.
650 0 _aBioinformatics.
650 1 4 _aStem Cell Biology.
650 2 4 _aComputational and Systems Biology.
700 1 _aCahan, Patrick.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9781493992232
776 0 8 _iPrinted edition:
_z9781493992256
776 0 8 _iPrinted edition:
_z9781493992263
830 0 _aMethods in Molecular Biology,
_x1940-6029 ;
_v1975
856 4 0 _uhttps://doi.org/10.1007/978-1-4939-9224-9
912 _aZDB-2-PRO
999 _c5707
_d5707