Big Data (in Biology): Integrating Large, Fast Moving, Heterogenous DatasetsAdina Howe
Past Events Big Data in Biology and Health 2016 - 25-27 Sep 2016, EMBL Advanced Training Centre (ATC), Heidelberg, Germany (56402) Important Please, check "Big Data in Biology and Health" official website for possible changes, before making any traveling arrangements...
The main idea behind using amino acid block sub-sequences is that they are more biology based than k-mers or codons when used as features in the proposed predictive models. We show, for first time that with the data considered in this work amino acid sub-sequences derived from conserved ...
With the emergence of data environments with growing data variety and volume, organizations need to be supported by processes and technologies that allow them to produce and maintain high-quality data facilitating data reuse, accessibility, and analysis.
If you use this software in a publication please cite Santos-Júnior CD, Pan S, Zhao X, Coelho LP. 2020. Macrel: antimicrobial peptide screening in genomes and metagenomes. PeerJ 8:e10555. DOI:10.7717/peerj.10555 Run Macrel online:https://big-data-biology.org/software/macrel ...
The exponential growth of big data in RNA biology (RB) has led to the development of deep learning (DL) models that have driven crucial discoveries. As constantly evidenced by DL studies in other fields, the successful implementation of DL in RB depends heavily on the effective utilization of...
Posted in Baseball, Big Data, Biology, Biotech/Pharma, Business, Genomics, Knowns and Unknowns, Metrics, Networks and Systems, Public Health, Randomness / Tagged adaptive landscape, Baseball, cancer, evolution, MLB, mutational burden, mutational sequencing, next-gen sequencing, oncology, pitch orderi...
Big Data Analytics will cease to be published by BMC as of December 2021. BMC will continue to host an archive of all articles previously published in the ...
This collection comprises articles presenting novel developments in artificial intelligence, big data analysis and cloud computing in both biology and medicine, and their applications to the analysis of high-throughput biological and medical data, including image and microbiome data, as well methodologies ...
Recommend the title | The leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data.