https://www.selleckchem.com/products/g007-lk.html Novel genes, proteins, and pathways derived from any experimental/computational method either in large-scale (omics) or even in smaller scale (specific laboratory experiments) can potentially be projected and analyzed through PathwayConnector. This chapter describes in details the pipeline and methodologies used for the latest updated version of PathwayConnector, providing an easy way for rapidly relating human or other organism's pathways together. Recent studies have shown that pathway networks and subnetworks, generated by PathwayConnector, are an integral part towards the individualization of disease, leading to a more precise and personalized management of the treatment.Genome-scale metabolic modeling is and will continue to play a central role in computational systems metabolic engineering and synthetic biology applications for the productions of chemicals and antibiotics. To that end, a survey and workflows of methods used for the development of high-quality genome-scale metabolic models (GEMs) and chassis design for synthetic biology are described here. The chapter consists of two parts (a) the methods of development of GEMs (Escherichia coli as a case study) and (b) E. coli chassis design for synthetic production of 1,4-butanediol (BDO). The methods described here can guide existing and future development of GEMs coupled with host chassis design for synthetic productions of novel antibiotics.Transposon-sequencing (Tn-seq) is a powerful tool facilitating the genome-scale identification of genes required for bacterial growth or survival in an environment of interest. However, Tn-seq suffers from two primary drawbacks (1) genetic interactions masking phenotypes thereby resulting in important cellular functions remaining undiscovered and (2) a difficulty in easily going from a list of essential genes to a functional understanding of cell physiology. Tn-Core is a computational toolbox to help overcome these limit