From: Visualizing the knowledge structure and evolution of bioinformatics
Topic1 | Topic2 | Topic3 |
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Compute:Â mathematical- model Biology: Population- dynamics;Â gene expression;Â cell cycle;Â natural selection;Â population size;Â immune system;Â basic reproduction- number;escherichia coli systems biology ndtabular | Compute: Biology:Â Escherichia coli; gene expression; binding site; e coli; dna replication; binding sites; amino acids; rna polymerase; cell cycle; dna damage | Compute: Cloud computing; data analysis; data mining; data sets; machine learning; semantic web biology: Computational- biology;systems biology; gene expression; molecular biology |
Topic4 | Topic5 | Topic6 |
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Compute: Biology: Escherichia coli; e coli; amino acids; gene expression; saccharomyces cerevisiae; mass spectrometry; molecular weight; risk factorspublic health; Â heavy metals | Compute: Biology: Active site; escherichia coli; binding site; amino acids; circular dichroism; hydrogen bonds; hydrogen bond; cytochrome c; e coli; protein folding | Compute: Biology: Mass spectrometry;Â gene expression;Â breast cancer;Â cell lines;Â dna methylation;Â transcription- factors;Â liquid- chromatography;Â amino acids;Â oxidative stress;Â protein spots |
Topic7 | Topic8 | Topic9 |
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Compute: Biology: Amino acids; gene expression; x chromosome; skeletal muscle; reading frame; human genome; alternative splicing; breast cancer; linkage- disequilibrium; amino acid- sequence | compute: Data sets; machine learning; data set; data analysis biology: Gene expression; protein structure; supplementary- information; sequence alignment; protein sequences; dna sequences | Compute: Deep learning; wavelet transform; machine learning; data sets Biology: Magnetic resonance- imaging; magnetic resonance white matter; image- reconstruction visual cortex; breast cancer  |