Overview

This 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.

Full Product Details

Author:   Patrick Cahan
Publisher:   Humana Press Inc.
Imprint:   Humana Press Inc.
Edition:   1st ed. 2019
Volume:   1975
Weight:   0.891kg
ISBN:  

9781493992263

ISBN 10:   1493992260
Pages:   456
Publication Date:   28 October 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Agent-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.

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