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Dissecting the role of low-complexity regions in the evolution of vertebrate proteins.
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Low complexity regions (LCRs) contribute to the hypervariability of the HIV-1 gp120 protein.
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Low-complexity regions within protein sequences have position-dependent roles.
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Antibody production relies on the tRNA inosine wobble modification to meet biased codon demand.
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AlcoR: alignment-free simulation, mapping, and visualization of low-complexity regions in biological data.
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MIF-like domain containing protein orchestrates cellular differentiation and virulence in the fungal pathogen .
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Ensembl 2021.
Nucleic Acids Res. 2021 Jan 8;49(D1):D884-D891. doi: 10.1093/nar/gkaa942.
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Disentangling the complexity of low complexity proteins.
Brief Bioinform. 2020 Mar 23;21(2):458-472. doi: 10.1093/bib/bbz007.
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A quantitative framework for characterizing the evolutionary history of mammalian gene expression.
Genome Res. 2019 Jan;29(1):53-63. doi: 10.1101/gr.237636.118. Epub 2018 Dec 14.
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fastp: an ultra-fast all-in-one FASTQ preprocessor.
Bioinformatics. 2018 Sep 1;34(17):i884-i890. doi: 10.1093/bioinformatics/bty560.
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Proteome and transcriptome profiling of equine myofibrillar myopathy identifies diminished peroxiredoxin 6 and altered cysteine metabolic pathways.
Physiol Genomics. 2018 Dec 1;50(12):1036-1050. doi: 10.1152/physiolgenomics.00044.2018. Epub 2018 Oct 5.
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Repurposing of promoters and enhancers during mammalian evolution.
Nat Commun. 2018 Oct 4;9(1):4066. doi: 10.1038/s41467-018-06544-z.
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Proteome-scale relationships between local amino acid composition and protein fates and functions.
PLoS Comput Biol. 2018 Sep 24;14(9):e1006256. doi: 10.1371/journal.pcbi.1006256. eCollection 2018 Sep.
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Peptide Level Turnover Measurements Enable the Study of Proteoform Dynamics.
Mol Cell Proteomics. 2018 May;17(5):974-992. doi: 10.1074/mcp.RA118.000583. Epub 2018 Feb 2.
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Comparative transcriptomics of 5 high-altitude vertebrates and their low-altitude relatives.
Gigascience. 2017 Dec 1;6(12):1-9. doi: 10.1093/gigascience/gix105.
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fLPS: Fast discovery of compositional biases for the protein universe.
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