This volume focuses on computational modeling of the ecotoxicity of chemicals and presents applications of quantitative structure-activity relationship models (QSARs) in the predictive toxicology field in a regulatory context.
Protein Design: Method and Applications, Second Edition expands upon the previous edition with current, detailed ideas on how to approach a potential protein design project.
This volume provides updates of this established field in both methods and applications, as well as advances in applications of the microarray method to biomarkers such as DNAs, RNAs, proteins, glycans and whole cells.
The volume brings together some of the best experts in the field of modern metabolomics to discuss various techniques used today to study specific metabolite classes, and metabolomics in bacterial systems and mammalian systems.
This volume focuses on a variety of in silico protocols of the latest bioinformatics tools and computational pipelines developed for neo-antigen identification and immune cell analysis from high-throughput sequencing data for cancer immunotherapy.
The rapidly developing methods of systems biology can help investigators in various areas of modern biomedical research to make inference and predictions from their data that intuition alone would not discern.
Mass Spectrometry Data Analysis in Proteomics is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics.
Structural genomics is a newly emerging field that has arisen following the successful footsteps of the major sequencing efforts generally bundled under the heading "e;genomics"e;.
The new genetic revolution is fuelled by Deep Sequencing (or Next Generation Sequencing) apparatuses which, in essence, read billions of nucleotides per reaction.
Systems biology is the study of interactions between assorted components of biological systems with the aim of acquiring new insights into how organisms function and respond to different stimuli.
From basic performing of sequence alignment through a proficiency at understanding how most industry-standard alignment algorithms achieve their results, Multiple Sequence Alignment Methods describes numerous algorithms and their nuances in chapters written by the experts who developed these algorithms.
This volume introduces the reader to the latest experimental and bioinformatics methods for DNA sequencing, RNA sequencing, cell-free tumour DNA sequencing, single cell sequencing, single-cell proteomics and metabolomics.
This second edition volume expands on the previous edition with an update on the latest developments in the field and new techniques used to study secondary and supersecondary structures (SSS) in proteins.
This volume details a collection of state-of-art methods including identification of novel ncRNAs and their targets, functional annotation and disease association in different biological contexts.
This volume covers a variety of topics related to the practice of rule-based modeling, a type of mathematical modeling useful for studying biomolecular site dynamics.
With the detailed genomic information that is now becoming available, we have a plethora of data that allows researchers to address questions in a variety of areas.
Computational biology is an interdisciplinary field that applies mathematical, statistical, and computer science methods to answer biological questions, and its importance has only increased with the introduction of high-throughput techniques such as automatic DNA sequencing, comprehensive expression analysis with microarrays, and proteome analysis with modern mass spectrometry.
The post-genomic revolution is witnessing the generation of petabytes of data annually, with deep implications ranging across evolutionary theory, developmental biology, agriculture, and disease processes.
In Plant Metabolic Flux Analysis, expert researchers in the field provide detailed experimental procedures for each step of the flux quantification workflow.
The recent accumulation of information from genomes, including their sequences, has resultednotonlyinnewattemptstoansweroldquestionsandsolvelongstandingissues inbiology,butalsointheformulationofnovelhypothesesthatarisepreciselyfromthis wealth of data.
In past decades, the area of bioinformatics has proved to be both dynamic and vital, producing a wide spectrum of novel approaches and assuming an increasingly important role in modern bio-technological development.
Rapid advances in computer science, biology, chemistry, and other disciplines are enabling powerful new computational tools and models for toxicology and pharmacology.
Over the past years, the chem(o)informatics field has further evolved and new application areas have opened up, for example, in the broadly defined area of chemical biology.
As the use of high-throughput screening expands and creates more interest in the academic community, the need for detailed reference materials becomes ever more pressing.
In Post-Transcriptional Gene Regulation, renowned authors present current technical approaches to most aspects of post-transcriptional control and provide a useful and versatile laboratory bench resource.
Immunoinformatics: Predicting Immunogenicity In Silico is a primer for researchers interested in this emerging and exciting technology and provides examples in the major areas within the field of immunoinformatics.
Since each human is genetically distinctive, responding differently to disease-causing factors as well as drugs, the field pharmacogenomics arose to develop personalized medicine, or medicine that deals with the complexity of the human body.
This book facilitates both the theoretical background and applications of fuzzy, intuitionistic fuzzy and rough, fuzzy rough sets in the area of data science.
