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of 268
pro vyhledávání: '"computational proteomics"'
Akademický článek
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Autor:
Seungjin Na, Eunok Paek
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 1391-1402 (2020)
Mass spectrometry (MS) has made enormous contributions to comprehensive protein identification and quantification in proteomics. MS is also gaining momentum for structural biology in a variety of ways, complementing conventional structural biology te
Externí odkaz:
https://doaj.org/article/93e78144ecd343b78da05096591c177a
Akademický článek
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Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Externí odkaz:
https://doaj.org/article/502986de4df44ab2b326393c99afec1e
Publikováno v:
Algorithms for Molecular Biology, Vol 13, Iss 1, Pp 1-16 (2018)
Abstract Background Liquid chromatography combined with tandem mass spectrometry is an important tool in proteomics for peptide identification. Liquid chromatography temporally separates the peptides in a sample. The peptides that elute one after ano
Externí odkaz:
https://doaj.org/article/4aee6387756b4fae82687518af56e7ab
Publikováno v:
Algorithms for Molecular Biology, Vol 12, Iss 1, Pp 1-13 (2017)
Abstract Background Given a peptide as a string of amino acids, the masses of all its prefixes and suffixes can be found by a trivial linear scan through the amino acid masses. The inverse problem is the ideal de novo peptide sequencing problem: Give
Externí odkaz:
https://doaj.org/article/9ab009abbdfe457c87f85151af57a5d8
Autor:
Han, Fang
Publikováno v:
Electronic Thesis and Dissertation Repository
The systematic studies of proteins has gradually become fundamental in the research related to molecular biology. Shotgun proteomics use bottom-up proteomics techniques in identifying proteins contained in complex mixtures using a combination of high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1548::5b0cf1f51b448f2895fc9e49b010c113
https://ir.lib.uwo.ca/etd/9283
https://ir.lib.uwo.ca/etd/9283
Autor:
Truong, Patrick
As high-throughput biology experiments generate increasing amounts of data, the field is naturally turning to data-driven methods for the analysis and extraction of novel insights. These insights into biological systems are crucial for understanding
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-327122