Computational stem cell biology: methods and protocols
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, reconstru...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2019
|
| Ausgabe: | 1st ed. 2019 |
| Schriftenreihe: | Methods in Molecular Biology
1975 |
| Schlagworte: | |
| Online-Zugang: | UBR01 TUM01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 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 |
| Beschreibung: | 1 Online-Ressource (XI, 456 Seiten) Illustrationen |
| ISBN: | 9781493992249 |
| DOI: | 10.1007/978-1-4939-9224-9 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV047639952 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 211214s2019 |||| o||u| ||||||eng d | ||
| 020 | |a 9781493992249 |c Online |9 978-1-4939-9224-9 | ||
| 024 | 7 | |a 10.1007/978-1-4939-9224-9 |2 doi | |
| 035 | |a (ZDB-2-PRO)978-1-4939-9224-9 | ||
| 035 | |a (OCoLC)1289764242 | ||
| 035 | |a (DE-599)BVBBV047639952 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-355 |a DE-91 | ||
| 082 | 0 | |a 571.6 | |
| 245 | 1 | 0 | |a Computational stem cell biology |b methods and protocols |c edited by Patrick Cahan |
| 250 | |a 1st ed. 2019 | ||
| 264 | 1 | |a New York, NY |b Springer New York |c 2019 | |
| 300 | |a 1 Online-Ressource (XI, 456 Seiten) |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Methods in Molecular Biology | |
| 490 | 0 | |a 1975 | |
| 500 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Stem cells | |
| 650 | 4 | |a Bioinformatics | |
| 650 | 4 | |a Computational biology | |
| 650 | 4 | |a Bioinformatics | |
| 700 | 1 | |a Cahan, Patrick |d ca. 20./21. Jh. |0 (DE-588)1247589692 |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-4939-9226-3 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4939-9224-9 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-2-PRO | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-033024159 | ||
| 966 | e | |u https://doi.org/10.1007/978-1-4939-9224-9 |l UBR01 |p ZDB-2-PRO |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4939-9224-9 |l TUM01 |p ZDB-2-PRO |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804183092703789056 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author2 | Cahan, Patrick ca. 20./21. Jh |
| author2_role | edt |
| author2_variant | p c pc |
| author_GND | (DE-588)1247589692 |
| author_facet | Cahan, Patrick ca. 20./21. Jh |
| building | Verbundindex |
| bvnumber | BV047639952 |
| collection | ZDB-2-PRO |
| ctrlnum | (ZDB-2-PRO)978-1-4939-9224-9 (OCoLC)1289764242 (DE-599)BVBBV047639952 |
| dewey-full | 571.6 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 571 - Physiology & related subjects |
| dewey-raw | 571.6 |
| dewey-search | 571.6 |
| dewey-sort | 3571.6 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| discipline_str_mv | Biologie |
| doi_str_mv | 10.1007/978-1-4939-9224-9 |
| edition | 1st ed. 2019 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03779nmm a2200457zc 4500</leader><controlfield tag="001">BV047639952</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">211214s2019 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781493992249</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4939-9224-9</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4939-9224-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-PRO)978-1-4939-9224-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1289764242</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047639952</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="049" ind1=" " ind2=" "><subfield code="a">DE-355</subfield><subfield code="a">DE-91</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">571.6</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Computational stem cell biology</subfield><subfield code="b">methods and protocols</subfield><subfield code="c">edited by Patrick Cahan</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed. 2019</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, NY</subfield><subfield code="b">Springer New York</subfield><subfield code="c">2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XI, 456 Seiten)</subfield><subfield code="b">Illustrationen</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="490" ind1="0" ind2=" "><subfield code="a">Methods in Molecular Biology</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">1975</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">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</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Stem cells</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bioinformatics </subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computational biology </subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bioinformatics</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cahan, Patrick</subfield><subfield code="d">ca. 20./21. Jh.</subfield><subfield code="0">(DE-588)1247589692</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-1-4939-9226-3</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4939-9224-9</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-PRO</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033024159</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4939-9224-9</subfield><subfield code="l">UBR01</subfield><subfield code="p">ZDB-2-PRO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4939-9224-9</subfield><subfield code="l">TUM01</subfield><subfield code="p">ZDB-2-PRO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047639952 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:47:41Z |
| indexdate | 2024-07-10T09:17:57Z |
| institution | BVB |
| isbn | 9781493992249 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033024159 |
| oclc_num | 1289764242 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-91 DE-BY-TUM |
| owner_facet | DE-355 DE-BY-UBR DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (XI, 456 Seiten) Illustrationen |
| psigel | ZDB-2-PRO |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Springer New York |
| record_format | marc |
| series2 | Methods in Molecular Biology 1975 |
| spelling | Computational stem cell biology methods and protocols edited by Patrick Cahan 1st ed. 2019 New York, NY Springer New York 2019 1 Online-Ressource (XI, 456 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology 1975 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 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 Stem cells Bioinformatics Computational biology Bioinformatics Cahan, Patrick ca. 20./21. Jh. (DE-588)1247589692 edt Erscheint auch als Druck-Ausgabe 978-1-4939-9226-3 https://doi.org/10.1007/978-1-4939-9224-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Computational stem cell biology methods and protocols Stem cells Bioinformatics Computational biology Bioinformatics |
| title | Computational stem cell biology methods and protocols |
| title_auth | Computational stem cell biology methods and protocols |
| title_exact_search | Computational stem cell biology methods and protocols |
| title_exact_search_txtP | Computational stem cell biology methods and protocols |
| title_full | Computational stem cell biology methods and protocols edited by Patrick Cahan |
| title_fullStr | Computational stem cell biology methods and protocols edited by Patrick Cahan |
| title_full_unstemmed | Computational stem cell biology methods and protocols edited by Patrick Cahan |
| title_short | Computational stem cell biology |
| title_sort | computational stem cell biology methods and protocols |
| title_sub | methods and protocols |
| topic | Stem cells Bioinformatics Computational biology Bioinformatics |
| topic_facet | Stem cells Bioinformatics Computational biology Bioinformatics |
| url | https://doi.org/10.1007/978-1-4939-9224-9 |
| work_keys_str_mv | AT cahanpatrick computationalstemcellbiologymethodsandprotocols |