About
Bio
Designed for professionals in the life sciences and related industries. Provides comprehensive coverage of information technology systems, products and services for specific life science applications. Focuses on bio-IT technology, business trends and forecasts, technology selection, government policy and regulations and case studies.
The publication focuses on: Genomic analysis: next-generation sequencing, genome-wide association mapping, and data integration. Discovery informatics: collection, analysis and workflows of compound, microarray, proteomic, imaging, and pre-clinical and clinical data. Systems biology: gene, protein, metabolite, and network/pathway information. Computational modeling: biosimulations of pathways, drug action, and clinical data. Predictiveness: in vitro assays, biomarkers, and animal models. Cheminformatics: structure-based drug design, compound characterization, ADME-Tox, and selectivity. Correlation of biological data: disease diagnosis, patient selection, and drug response. Target data: biological, pathway, interaction, patent, and family. IT infrastructure: grid computing and high-performance computing. Text mining: internal documents and published literature. Semantic web: next-generation data sharing and social networking. Clinical research: electronic data capture, patient recruitment, and adaptive trials. Pharmacogenomics: diagnostics for therapeutics, patient stratification.
Bio-IT World DOES ACCEPT article submissions. They cannot be editorial and are best discussed on a case by case basis with Editor-in-Chief.
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United States of America
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Sectors
Biotechnology, Biotechnology Industry, Life Sciences
Bio
Designed for professionals in the life sciences and related industries. Provides comprehensive coverage of information technology systems, products and services for specific life science applications. Focuses on bio-IT technology, business trends and forecasts, technology selection, government policy and regulations and case studies. The publication focuses on: Genomic analysis: next-generation sequencing, genome-wide association mapping, and data integration. Discovery informatics: collection, analysis and workflows of compound, microarray, proteomic, imaging, and pre-clinical and clinical data. Systems biology: gene, protein, metabolite, and network/pathway information. Computational modeling: biosimulations of pathways, drug action, and clinical data. Predictiveness: in vitro assays, biomarkers, and animal models. Cheminformatics: structure-based drug design, compound characterization, ADME-Tox, and selectivity. Correlation of biological data: disease diagnosis, patient selection, and drug response. Target data: biological, pathway, interaction, patent, and family. IT infrastructure: grid computing and high-performance computing. Text mining: internal documents and published literature. Semantic web: next-generation data sharing and social networking. Clinical research: electronic data capture, patient recruitment, and adaptive trials. Pharmacogenomics: diagnostics for therapeutics, patient stratification. Bio-IT World DOES ACCEPT article submissions. They cannot be editorial and are best discussed on a case by case basis with Editor-in-Chief.
Website
Social media
Location
Frequency
Circulation
Sectors
Biotechnology, Biotechnology Industry, Life Sciences
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