Throughput

High throughput sequencing (HTS) technologies have conquered the genomics and epigenomics worlds. The applications of HTS methods are wide, and can be used to sequence everything from whole or partial genomes, transcriptomes, non-coding RNAs, ribosome profiling, to single-cell sequencing.

This thesis outlines the development of the very first technology for high-throughput analysis of paired heavy and light-chain antibody sequences, opening an entirely new window for antibody discovery and the investigation of adaptive immune responses to vaccines and diseases.

Editors: Aransay, Ana M., Lavín Trueba, José Luis (Eds.)
The main aspects and challenges of the most employed HTS technologies are described in detail including all pros and cons associated with them
Sample requirements for each HTS technology supplied
Case studies with examples of successful strategies will be analyzed

Advances in genomics and combinatorial chemistry during the past two decades inspired innovative technologies and changes in the discovery and pre-clinical development paradigm with the goal of accelerating the process of bringing therapeutic drugs to market. Written by William Kisaalita, one of the foremost experts in this field, 3D Cell-Based Biosensors in Drug Discovery Programs: Microtissue Engineering for High Throughput Screening provides the latest information — from theory to practice — on challenges and opportunities for incorporating 3D cell-based biosensors or assays in drug discovery programs.

The ultimate goal of bioinformatics is to extract biological knowledge out of the large amount of information generated by the scientific community. The chapters compiled in this volume will allow both biologists and computer scientists to understand the significance and potential of this discipline in the analysis of high throughput sequencing data.