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Proteogenomics in Cancer: Then and Now.
Journal of Proteome Research, 2023For years, the paths of sequencing technologies and mass spectrometry have occurred in isolation, with each developing its own unique culture and expertise.
Xiuhong Wang +2 more
semanticscholar +3 more sources
PROTEOMICS, 2011
AbstractThe ability to sequence DNA rapidly, inexpensively and in a high‐throughput fashion provides a unique opportunity to sequence whole genomes of a large number of species. The cataloging of protein‐coding genes from these species, however, remains a non‐trivial task with the majority of initial genome annotation dependent on the use of gene ...
Santosh, Renuse +2 more
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AbstractThe ability to sequence DNA rapidly, inexpensively and in a high‐throughput fashion provides a unique opportunity to sequence whole genomes of a large number of species. The cataloging of protein‐coding genes from these species, however, remains a non‐trivial task with the majority of initial genome annotation dependent on the use of gene ...
Santosh, Renuse +2 more
openaire +2 more sources
Functional proteogenomics—Embracing complexity
Seminars in Immunology, 2011The evolving era of functional genomics in organ transplantation is supported by advances in gene profiling, sequencing, proteomics, antibody profiling and bioinformatics, thus heralding a new era of intelligent and customized monitoring and therapy. These advances will serve to meet the critical unmet needs of improving graft survival, limiting graft ...
Minnie M, Sarwal +2 more
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Proteogenomics for environmental microbiology
PROTEOMICS, 2013Proteogenomics sensu stricto refers to the use of proteomic data to refine the annotation of genomes from model organisms. Because of the limitations of automatic annotation pipelines, a relatively high number of errors occur during the structural annotation of genes coding for proteins.
Jean, Armengaud +2 more
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Nature Communications
Integrating multimodal data can uncover causal features hidden in single-modality analyses, offering a comprehensive understanding of disease complexity.
Zaoqu Liu +36 more
semanticscholar +1 more source
Integrating multimodal data can uncover causal features hidden in single-modality analyses, offering a comprehensive understanding of disease complexity.
Zaoqu Liu +36 more
semanticscholar +1 more source
Single Cell Proteogenomics — Immediate Prospects
Biochemistry (Moscow), 2020Recent technical advances in genomic technology have led to the explosive growth of transcriptome-wide studies at the level of single cells. The review describes the first steps of the single cell proteomics that has originated soon after development of transcriptomics methods.
S A, Moshkovskii +2 more
openaire +2 more sources

