Is it Time for Cognitive Bioinformatics

@article{Lisitsa2015IsIT,
  title={Is it Time for Cognitive Bioinformatics},
  author={Andrey V Lisitsa and Elizabeth Stewart and Eugene Kolker},
  journal={Journal of Data Mining in Genomics \& Proteomics},
  year={2015},
  volume={6},
  pages={1-3}
}
The concept of cognitive bioinformatics has been proposed for structuring of knowledge in the field of molecular biology. While cognitive science is considered as “thinking about the process of thinking”, cognitive bioinformatics strives to capture the process of thought and analysis as applied to the challenging intersection of diverse fields such as biology, informatics, and computer science collectively known as bioinformatics. Ten years ago cognitive bioinformatics was introduced as a model… 

References

SHOWING 1-10 OF 24 REFERENCES
Cognitive bioinformatics: computational cognitive model for dynamic problem solving
TLDR
This paper describes the problem domain, evolution of this new model, the model itself how this model relates to current literature, and concludes with a summary of the ongoing research efforts.
Unraveling the Complexities of Life Sciences Data
TLDR
Pushing into the future together with collaborators, the Kolker Lab is pursuing integration of multi-omics data and exploration of biological pathways, as well as assigning function to proteins and porting solutions to the cloud.
Mapping the human connectome.
TLDR
The systematic characterization of brain connectedness and the resulting functional aspects of such connectivity will not only realize the work of Ramón y Cajal and others, but will also greatly expand the understanding of the brain, the mind, and what it is to be truly human.
Human genome 10th anniversary. Will computers crash genomics?
TLDR
This News Focus article and the one on sharing genomic data with trial participants are part of a collection this month reflecting on the 10th anniversary of the publication of the human genome, which is gathered here.
A Cell-Based Approach to the Human Proteome Project
  • N. Kelleher
  • Biology
    Journal of The American Society for Mass Spectrometry
  • 2012
TLDR
The concept for a cell-based version of the Human Proteome Project (CB-HPP) is crafted in a manner analogous to the Human Genome Project while recognizing that cells provide a primary context in which to define a proteome.
Genotype-phenotype relationships in light of a modular protein interaction landscape.
TLDR
The challenges and implications emerging from a modular protein landscape for a better understanding of complex genotype-phenotype patterns are discussed.
Where are all the biomarkers?
TLDR
This work reports the publication of almost 1500 yeast proteins using multidimensional protein identification technology (MudPIT) by the laboratory of John Yates 3rd, and claims the identification of over 10,000 peptides in a single experiment.
Deep proteome and transcriptome mapping of a human cancer cell line
TLDR
Comparisons of the proteome and the transcriptome, and analysis of protein complex databases and GO categories, suggest that deep coverage of the functional transcriptome andThe proteome of a single cell type is achieved.
Identification of functional hubs and modules by converting interactome networks into hierarchical ordering of proteins
TLDR
A novel approach to convert the complex structure of an interactome network into hierarchical ordering of proteins, and reveals a hub-oriented tree structure hidden in the complex network.
NIH plans to enhance reproducibility
TLDR
Leaders of the US National Institutes of Health (NIH) discuss initiatives that the complex system for ensuring the reproducibility of biomedical research is failing and is in need of restructuring.
...
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