While we will continue to learn much from integrating and correlating various sources of molecular information, the final frontier of single cell bioinformatics is the inference of causal relationships. Massively parallel perturbation studies, now often using the CRISPR/CAS system, produce a wealth of new information about regulatory interactions. Innovative computational tools are needed to combine biologically meaningful data integration with perturbation studies. Such tools might finally allow us to infer cell-type specific gene regulatory networks that do not only explain the development of embryonic tissues and regeneration of adult organs but also predict the impact of abnormalities occurring in disease.
Work that aims to characterize, understand and predict embryonic development, tissue regeneration or in vitro differentiation at the single-cell level. We are interested in Spain phone number list papers describing novel algorithms, tools and data bases; computational research with existing methods leading to new biological insights; benchmark studies as well as perspectives and reviews. We hope to not only provide a platform for computational scientists to share their latest tools, but also provide an overview of the state-of-the-art for experimentalists. The development of Artificial Intelligence (AI) has pushed the boundaries of bioinformatics and biomedical computing paradigms.
AI technology that builds smart machines capable of performing tasks that typically require human intelligence has tremendously advanced a continuously emerging field of bioinformatics that employs computational and biological information to solve pressing biological problems. Moreover, it has influenced the field of biomedical applications, which employs modern engineering technology for living beings, especially the design and employment of medical equipment. AI has been employed to solve some of the most challenging problems of bioinformatics, including protein structure prediction, homology search, multiple alignment and phylogeny construction, genomic sequence analysis, gene-finding, and more.