Genomics is the study of the genomes of organisms. The field includes intensive efforts to determine the entire DNA sequence of organisms and fine-scale genetic mapping efforts. It is a discipline in genetics that applies recombinant DNA, DNA sequencing methods, and bioinformatics to sequence, assemble, and analyse the function and structure of genomes. Genomics III - Methods, Techniques and Applications is the last volume of our Genomics series.
Chapter 1 presents an overview of exome sequencing technology and details its use in identification of molecular bases of rare diseases in human.
Chapter 2 describes and compares different methods of whole genome amplification (WGA) for replenishing DNA samples for genetic studies.
Chapter 3 ilustrates the method of whole genome microarray gene expression profiling and its application to study the treatment effect of a widely used cardiovascular drug.
Chapter 4 describes a brief history of large-insert libraries and their utility in exploring organisms with poor genetic and genome information.
Chapter 5 proposes a bio-molecular approach for the evaluation of the anaerobic digestion performance.
In Chapter 6, quantitative issues of the transposon-based gene delivery methods are addressed. Using the "Sleeping Beauty" transposon system as a prominent example, special detailed focus is given to copy number determination and to transposon excision efficiency quantification by real-time PCR based methodologies.
Chapter 7 provides an overview of extraction of a compendium of sequence and structural features, as well as the methodology for function prediction based on the techniques from Artificial Intelligence and Machine learning.
Chapter 8 presents a statistical method and a data mining solution for the problem of insertion site analysis and characterization of Alu elements
Chapter 9 investigates how Mutual Information (MI) can be used to improve methods of predicting functional residues and enhance structural data to describe the topological properties of amino acid coevolution networks within a protein and their interactions.
Chapter 10 attempts to validate MLVA to see if it could predict MRSA clones that were previously characterized by PFGE, MLST, and staphylococcal cassette chromosome mec (SCCmec) typing and to establish possible criteria of clustering MLVA patterns, looking for high concordance levels.
Chapter 11 introduces a web server which allows the user to perform genome rearrangement analysis using reversals, block-interchanges (also called generalized transpositions) and translocations (including fusions and fissions).
Chapter 12 discussed an algorithm which is used to optimally align simple sequence repeat (microsatellite) regions as they evolve uniquely through a process called polymerase slippage.
Chapter 13 possesses a background of the RUN domain research with an emphasis on the interaction between RUN domain protein including RUFY proteins and small GTPases with respect to the cell polarity and membrane trafficking.
In Chapter 14, the authors detail recent advances in understanding mechanisms of gene regulation in Drosophila.
Chapter 15 provides guidelines for human molecular geneticists to perform genetic screenings using next generation sequencing.
Chapter 16 describes the process that was used to locate and characterize small group I introns in the rRNA gene locus of fungi.
Chapter 17 summarizes recent insights in the biology of variant gene transcription in human and murine malaria species and addresses the molecular mechanisms at work which regulate the expression of important virulence factors.

This book has resulted a very appreciated help for university students to successfully pass multiple choice question based biochemistry exams, which are the most common way of being assessed in subjects as General Biochemistry, Medical Biochemistry and other biosciences courses given at many universities throughout the world. For the student facing such exams, the fact of 'having understood and memorized' all the contents is not enough. It is crucial to practice repeatedly the exercise of searching in the memory for the proper answer, distinguishing it from very similar options, specifically designed for inducing to error. Facing to these situations again and again before the exam will reinforce your memory ability and will surely improve your grade. The 1000 questions are put into 19 content blocks. Within these blocks, to simulate the exam conditions, I have not made any additional order (apart from sugar or lipid metabolism, and photosynthesis). Each block must be addressed after a thorough study of the contents found in the indicated reference books or the ones given by your teachers. I have prepared the questions in the same way that I prepare the exams for my students. They are the fruit of a methodical and exhaustive review of the indicated bibliography, and they cover from the most obvious aspects to the trickiest ones, with the pursuit of 'leaving nothing without being asked'. Surely the teachers will also find good ideas on 'what and how to ask' for these blank evenings preparing the proof. Some technical issues: i) I have chosen a 5-options model (very common in many universities). You must know that this option entails that a mistake subtracts 0.25 right answers. ii) when a right answer is included in a more general answer, that is also right, the valid option is the last one. About me. I got my PhD in Biology at the University of Barcelona (Spain). I am specialized in macromolecular structure, molecular simulation, bioinformatics, computational biochemistry, drug design, ... I combine (when it is possible ) the teaching at a secondary school with university teaching. I have been assistant professor of Biochemistry at the University of Barcelona and the University of Castilla-La Mancha. You can send me at [email protected] any doubt arisen from the work with the book, that I will be very glad to answer. I hope it improves your grade and your learning."