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1. |
Record Nr. |
UNINA9910962450103321 |
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Titolo |
Gendered futures in higher education : critical perspectives for change / / Becky Ropers-Huilman, editor |
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Pubbl/distr/stampa |
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Albany, : State University of New York Press, c2003 |
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ISBN |
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9780791486993 |
0791486990 |
9781417500864 |
1417500867 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (217 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Sex discrimination in higher education - United States |
Women in higher education - United States |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front Matter -- Contents -- Acknowledgments -- Gender in the Future of Higher Education -- Learning from the Past -- From Whence They Came -- Gender and Higher Education -- Deconstructing the Present -- Stepping off the Scale -- The Gender of Violence on Campus -- Deconstructing the Present -- Women Faculty and Part-Time Employment -- Future Prospects for Women Faculty -- Negotiating Identities and Making Change -- Re-Conceiving the Future -- Advocacy Education -- Gender, Race, and Millennial Curiosity -- Contributors -- Index |
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Sommario/riassunto |
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This volume addresses the ways in which gender takes shape in and is shaped by higher education environments. Focusing on historical knowledge and contemporary experience, the contributors identify several key gender issues affecting students, faculty, and leaders in higher education. They examine such diverse topics as what lessons women's colleges have to offer, violence on campus, women faculty and part-time employment, and intersecting identities of race and gender, and they apply critical perspectives to suggest needed change. While they may not agree on the necessary strategies to improve higher education environments, they do agree that those environments are |
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currently deeply and problematically gendered. |
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2. |
Record Nr. |
UNINA9911018651603321 |
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Autore |
Wang Sufang |
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Titolo |
Practical Bioinformatics : A Laboratory Manual / / by Sufang Wang, Michael Gribskov |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (143 pages) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Genetics - Research |
Biology - Technique |
Genetics |
Molecular biology |
Biotechnology |
Genetics Research |
Biological Techniques |
Genetics and Genomics |
Molecular Biology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. Introduction to Bioinformatics -- Chapter 2. Introduction to Antibiotic Resistance -- Chapter 3. Introduction to Evolution and Homology -- Chapter 4. Preparing your sequences -- Chapter 5. Investigating sequence comparison statistics -- Chapter 6. Finding homologous sequences using Blast -- Chapter 7. Finding homologous sequences using UniProt -- Chapter 8. Multiple Sequence Alignment -- Chapter 9. Identifying conserved sequence motifs -- Chapter 10. Building a phylogenetic tree -- Chapter 11. Gene expression analysis in RNA-seq -- Chapter 12. Machine learning methods in RNA-seq. |
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Sommario/riassunto |
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This book is a lab manual which can be integrated with bioinformatics course. The field of bioinformatics is advancing at a remarkable rate. |
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With the development of new analytical techniques that make use of the latest advances in machine learning and data science, today’s biologists are gaining fantastic new insights into the natural world’s most complex systems. This book includes a lab-based manual that can assist students handling large biological data. It aims to help students and researchers understand (1) the importance of horizontal transfer in the spread of antibiotic resistance, and in biology more broadly; (2) how protein and nucleic acid sequences are used to determine phylogenetic trees and the genetic relationship between organisms; (3) how sequence comparisons can be used to infer protein function; and (4) how to analyze high-throughput sequencing data to do gene expression analysis. This book is valuable for researchers, teachers and students, as well as any readers who are interested in bioinformatics. |
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