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This biology extension file includes teaching notes, guidance on coursework activities and equipment. It has at least one assignment for each topic in the textbooks - suitable for classwork and homework. A comprehensive range of practical activities are included. It contains extensive Key Skills and ICT materials. An exam file resource containing a complete set of exam style questions, in a format that can be used throughout Years 10 and 11, or as a resource for a revision programme is included.
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Includes a Teacher's Guide including teaching notes, guidance on the range of activities for coursework, equipment lists and answers to all questions. Additional assessment to enrich, extend and tailor the context of the Key Science textbooks for international schools A 'Mother Tongue' glossary to help students access the textbooks Additional multiple choice questions Alternative practical exercises (with sample mark schemes)
Revised and updated to take account of the new co-ordinated syllabuses under the National Curriculum, this book offers a comprehensive and authoritative guide to biology.
A major update of a best-selling textbook that introduces students to the key experimental and analytical techniques underpinning life science research.
Bioinformatics for Systems Biology bridges and unifies many disciplines. It presents the life scientist, computational biologist, and mathematician with a common framework. Only by linking the groups together may the true life sciences revolution move forward.
Sampling. Project design. Collection and storage of tissues. Molecular techniques. Proteins: isozyme electrophoresis. Chromosomes: molecular cytogenetics. Nucleic acids I: DNA-DNA hybridization. Nucleic acids II: the polymerase chain reaction. Nucleic acids III: analysis of fragments and restriction sites. Nucleic acids IV: sequencing and cloning. Analysis. Intraspecific differentiation. Phylogenetic inference. Applications of molecular systematics: the state of the field and a look to the future.
This two-volume work provides an overview on various state of the art experimental and statistical methods, modeling approaches and software tools that are available to generate, integrate and analyze multi-omics datasets in order to detect biomarkers, genetic markers and potential causal genes for improved animal production and health. The book will contain online resources where additional data and programs can be accessed. Some chapters also come with computer programming codes and example datasets to provide readers hands-on (computer) exercises. This first volume presents the basic principles and concepts of systems biology with theoretical foundations including genetic, co-expression and metabolic networks. It will introduce to multi omics components of systems biology from genomics, through transcriptomics, proteomics to metabolomics. In addition it will highlight statistical methods and (bioinformatic) tools available to model and analyse these data sets along with phenotypes in animal production and health. This book is suitable for both students and teachers in animal sciences and veterinary medicine as well as to researchers in this discipline.
This textbook has been designed to meet the needs of B.Sc. Fifth Semester students of Botany as per Common Minimum Syllabus prescribed for all Uttar Pradesh State Universities and Colleges under the recommended National Education Policy 2020. It comprehensively covers Paper 2, namely, Molecular Biology & Bioinformatics. The theory part of this book aptly discusses the understanding of nucleic acids, organization of DNA in prokaryotes and eukaryotes, DNA replication mechanism, genetic code and transcription process. Students would also learn about processing and modification of RNA and translation process, function and regulation of gene expression. This textbook further discusses the working knowledge of bioinformatics. Relevant experiments corresponding to the theoretical topics and examples have been presented systematically to help students achieve sound conceptual understanding and learn the experimental procedures.
Computational Non-coding RNA Biology is a resource for the computation of non-coding RNAs. The book covers computational methods for the identification and quantification of non-coding RNAs, including miRNAs, tasiRNAs, phasiRNAs, lariat originated circRNAs and back-spliced circRNAs, the identification of miRNA/siRNA targets, and the identification of mutations and editing sites in miRNAs. The book introduces basic ideas of computational methods, along with their detailed computational steps, a critical component in the development of high throughput sequencing technologies for identifying different classes of non-coding RNAs and predicting the possible functions of these molecules. Finding, quantifying, and visualizing non-coding RNAs from high throughput sequencing datasets at high volume is complex. Therefore, it is usually possible for biologists to complete all of the necessary steps for analysis. Presents a comprehensive resource of computational methods for the identification and quantification of non-coding RNAs Introduces 23 practical computational pipelines for various topics of non-coding RNAs Provides a guide to assist biologists and other researchers dealing with complex datasets Introduces basic computational methods and provides guidelines for their replication by researchers Offers a solution to researchers approaching large and complex sequencing datasets