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  • Are bacteria able to get us to run faster?

    A recent research of the Harvard Medical School have been published on Nature Medicine by Scheiman et al., and showed the importance of human gut microbiome in athletes performance.






    The age of modern science is being increasingly characterized by the ability of researchers to have access to data and, within a broader context, by the creation of a sense of shared knowledge. Shared resources, such as data banks and literature, today represent the basis of the concept of the research work as much as experimental accuracy and substantial theoretical foundation...






  • BIL gate: A step toward a biological computer

    Scientists at Stanford University presented the remarkable production of genetic devices that work like a biological computer.

    The results, published on "Science" (28 March 2013), present the development of innovative genetic transistors that can be induced into biological cells and switched on/off in certain circumstances.


  • Web Server Issue of Nucleic Acids Research presents new free Array Analysis tools

    Nucleic Acids Research devotes a single issue in July to papers describing web-based software resources of value to the biological community.

    The emphasis of the current issue is on network and pathway analysis, high-throughput sequencing data analysis and biological text mining.



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BICOB-2020 12th International Conference on Bioinformatics and Computational Biology
Location: San Francisco, CA, United States
Dates: From 23 to 25 Mar 2020
Official link

The 12th International Conference on Bioinformatics and Computational Biology BICOB-2020 will be held March 23 - 25, 2020 in San Francisco, CA, USA. BICOB'2020 will provide an ideal venue for bioinformatics and computational biology researchers to present, discuss and publish their research work, results and outcomes. We seek original contributions in the fields of bioinformatics, computational biology, systems biology, medical informatics and the related areas, in the form of scientific papers for presentation in the conference and publication in the conference proceedings. The conference includes a Best Paper Award to be given during the conference banquet. BICOB'2020 also encourages work-in-progress and research results in the emerging and evolutionary computational areas. Computational methods related to, or with application in, bioinformatics is also encouraged including: computational intelligence and its application in bioinformatics, bio-data mining and text mining, evolutionary algorithms, nature-inspired computation, machine learning, biomedical ontologies, biomathematics, modeling and simulation, pattern recognition, data visualization, biostatistics. The topics of interest include (and are not limited to):
Genome analysis: Genome assembly, Next-Gen genomics and metagenomics, genome and chromosome annotation, gene finding, alternative splicing, EST analysis and comparative genomics.
Sequence analysis: Multiple sequence alignment, sequence search and clustering, next generation sequencing NGS, function prediction, motif discovery, functional site recognition in protein, RNA and DNA sequences.
Phylogenetics: Phylogeny estimation, models of evolution, comparative biological methods, population genetics.
Structural Bioinformatics: Structure matching, prediction, analysis and comparison; methods and tools for docking; protein design.
Analysis of high-throughput biological data: Microarrays (nucleic acid, protein, array CGH, genome tiling, and other arrays), EST, SAGE, MPSS, proteomics, mass spectrometry. Also, query languages, interoperability, bio-ontology and bio-data mining.
Genetics and population analysis: Linkage analysis, association analysis, population simulation, haplotyping, marker discovery, genotype calling.
Systems biology: Systems approaches to molecular biology, multiscale modeling, pathways, gene networks, transcriptomics - microarray data analysis, proteomics, epigenomics.
Healthcare Informatics: Healthcare data acquisition, analysis and mining. Clinical decision support systems, and healthcare information systems.
Computational Proteomics: Filtering and indexing sequence databases, Peptide quantification and identification, Genome annotations via mass spectrometry, Identification of post-translational modifications, Structural genomics via mass spectrometry, Protein-protein interactions, Computational approaches to analysis of large scale Mass spectrometry data, Exploration and visualization of proteomic data, Data models and integration for proteomics and genomics, Querying and retrieval of proteomics and genomics data, ...etc.

Created by AllBioinformatics team on 27/12/2019
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    Nowadays, researchers can not do without social networking to keep updated the sense of their study.The concept of smart planet surrounds completely the science research world, and the virtual social spaces interact with the real theoretical and expe...
  • Text mining forward
    Biological Text mining forward Text Mining is an interdisciplinary field grown up by different networking techniques from linguistics, computer science and statistics. Its aims and usefulness are to be found in retrieving and extracting information ...
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