Results 161 to 170 of about 188,569 (212)

Tractor workflow: a scalable Nextflow framework for local ancestry-aware genome-wide association studies. [PDF]

Bioinformatics
Shah NN, Tan T, Honorato-Mauer J, Lin YS, Maihofer AX, Zai CC, PGC-PTSD ancestry working group , Santoro M, Nievergelt CM, Atkinson EG.   +9 more
europepmc   +1 more source

Yomix: an interactive tool for the exploration of low-dimensional embeddings in omics data. [PDF]

Bioinformatics
Perrin-Gilbert N, Amjad N, Fumeron P, Tulli S, Waterfall JJ.   +4 more
europepmc   +1 more source

The DIKW of Transcriptomics in Ecotoxicology: Extracting Information, Knowledge, and Wisdom From Big Data

Environmental Toxicology and Chemistry, EarlyView.
Jessica A. Head, Jessica D. Ewald, Niladri Basu   +2 more
wiley   +1 more source

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Computing in Bioinformatics and Computational Biology: A Collection

IEEE Distributed Systems Online, 2007
exaly   +2 more sources

Bioinformatics with soft computing

IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2006
Soft computing is gradually opening up several possibilities in bioinformatics, especially by generating low-cost, low-precision (approximate), good solutions. In this paper, we survey the role of different soft computing paradigms, like fuzzy sets (FSs), artificial neural networks (ANNs), evolutionary computation, rough sets (RSes), and support vector
Sushmita Mitra, Yoichi Hayashi
openaire   +1 more source

Computational Intelligence in Bioinformatics

Neurocomputing, 2010
Contains fulltext : 83589.pdf (Publisher’s version ) (Closed access)
Chetty, M., Ngom, A., Marchiori, E., Marchiori, E.   +3 more
openaire   +2 more sources

Soft Computing in Bioinformatics

The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05., 2005
This tutorial will go over the basics of creating and using similarities between gene products, i.e., proteins or mRNA. We discuss the various categories of similarity measures beginning with the traditional BLAST scores on gene product sequences and culminating with recent research results in the application of fuzzy set theory to this problem ...
James M. Keller, Mihail Popescu
openaire   +2 more sources

Computer science and bioinformatics

Communications of the ACM, 2005
In barely half a century computer science has grown from infancy to maturity. Employment in computer science was assured until a few years ago. Today, however, like in the 1960s, when demand for physicists waned, computer scientists are eager to explore new possibilities in promising fields.
openaire   +1 more source

"Computational Biology and Bioinformatics"

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
I will discuss the current state of progress in high performance computing, biomolecular simulation and algorithms as we are applying them to understanding a range of problems in the use of information technology to understand biological systems. Examples will include the use of pattern discovery algorithms to understand gene expression, the use of ...
openaire   +1 more source