| 1. |
- Bourlat, Sarah
(author)
-
Marine Genomics: Methods and Protocols
- 2016
-
Book (other academic/artistic)abstract
- This volume presents the latest protocols for both laboratory and bioinformatics based analyses in the field of marine genomics. The chapters presented in the book cover a wide range of topics, including the sampling and genomics of bacterial communities, DNA extraction in marine organisms, high-throughput sequencing of whole mitochondrial genomes, phylogenomics, SNP discovery, SNP-arrays for species identification, digital PCR-based quantification methods, environment DNA for invasive species surveillance and monitoring, microarrays for the detection of waterborne pathogens, DNA barcoding of marine biodiversity, metabarcoding protocols for marine eukaryotes, analytical protocols for the visualization of eukaryotic diversity, and applications for genomic data to benthic indices for environmental monitoring. Written in the highly successful Methods in Molecular Biology series format, chapters include introduction 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. Cutting-edge and thorough, Marine Genomics: Methods and Protocols is a valuable resource for researchers, students, and policy makers in the field of marine biology.
|
|
| 2. |
- Nielsen, Jens B, 1962, et al.
(author)
-
Systems Biology
- 2017
-
Book (other academic/artistic)abstract
- Comprehensive coverage of the many different aspects of systems biology, resulting in an excellent overview of the experimental and computational approaches currently in use to study biological systems. Each chapter represents a valuable introduction to one specific branch of systems biology, while also including the current state of the art and pointers to future directions. Following different methods for the integrative analysis of omics data, the book goes on to describe techniques that allow for the direct quantification of carbon fluxes in large metabolic networks, including the use of 13C labelled substrates and genome-scale metabolic models. The latter is explained on the basis of the model organism Escherichia coli as well as the human metabolism. Subsequently, the authors deal with the application of such techniques to human health and cell factory engineering, with a focus on recent progress in building genome-scale models and regulatory networks. They highlight the importance of such information for specific biological processes, including the ageing of cells, the immune system and organogenesis. The book concludes with a summary of recent advances in genome editing, which have allowed for precise genetic modifications, even with the dynamic control of gene expression. This is part of the Advances Biotechnology series, covering all pertinent aspects of the field with each volume prepared by eminent scientists who are experts on the topic in question.
|
|
| 3. |
- Samuelsson, Tore, 1951
(author)
-
Genomics and bioinformatics - An introduction to programming tools for life scientists
- 2012
-
Book (other academic/artistic)abstract
- With the arrival of genomics and genome sequencing projects, biology has been transformed into an incredibly data-rich science. The vast amount of information generated has made computational analysis critical and has increased demand for skilled bioinformaticians. Designed for biologists without previous computer science experience, this textbook provides a hands-on introduction to Unix, Perl and other software used in sequence bioinformatics. Relevant biological topics are used throughout the book and are combined with practical bioinformatics examples, leading students through the process from biological problem to computational solution. All of the Perl scripts, sequence and database files used in the book are available for download at the accompanying website, allowing the reader to easily follow each example using their own computer. Programming examples are kept at an intorductory level, avoiding complex mathematics that students often find daunting and demonstrating that even simple programs can provide powerful solutions to many complex bioinformatics problems.
|
|
| 4. |
|
|
