SeMoP: A New Computational Strategy for the Unrestricted Search for Modified Peptides Using LC-MS/MS Data

Christian Baumgartner; T. Rejtar; M. Kullolli; L.M. Akella; B.L. Karger

doi:10.1021/pr800277y

SeMoP: A New Computational Strategy for the Unrestricted Search for Modified Peptides Using LC-MS/MS Data

Christian Baumgartner, T. Rejtar, M. Kullolli, L.M. Akella, B.L. Karger

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	4199-4208
Journal	Journal of Proteome Research
Volume	7
Issue number	9
DOIs	https://doi.org/10.1021/pr800277y
Publication status	Published - 2008
Externally published	Yes

Fields of Expertise

Human- & Biotechnology

Treatment code (Nähere Zuordnung)

Basic - Fundamental (Grundlagenforschung)

Access to Document

10.1021/pr800277y

Cite this

@article{30a98256fb40447094bfcebbfa10f7aa,

title = "SeMoP: A New Computational Strategy for the Unrestricted Search for Modified Peptides Using LC-MS/MS Data",

author = "Christian Baumgartner and T. Rejtar and M. Kullolli and L.M. Akella and B.L. Karger",

year = "2008",

doi = "10.1021/pr800277y",

language = "English",

volume = "7",

pages = "4199--4208",

journal = "Journal of Proteome Research",

issn = "1535-3907",

publisher = "American Chemical Society",

number = "9",

}

TY - JOUR

T1 - SeMoP: A New Computational Strategy for the Unrestricted Search for Modified Peptides Using LC-MS/MS Data

AU - Baumgartner, Christian

AU - Rejtar, T.

AU - Kullolli, M.

AU - Akella, L.M.

AU - Karger, B.L.

PY - 2008

Y1 - 2008

UR - http://www.ncbi.nlm.nih.gov/pubmed/18686985

U2 - 10.1021/pr800277y

DO - 10.1021/pr800277y

M3 - Article

SN - 1535-3907

VL - 7

SP - 4199

EP - 4208

JO - Journal of Proteome Research

JF - Journal of Proteome Research

IS - 9

ER -

SeMoP: A New Computational Strategy for the Unrestricted Search for Modified Peptides Using LC-MS/MS Data

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

Other files and links

Clinical Bioinformatics

Cite this

SeMoP: A New Computational Strategy for the Unrestricted Search for Modified Peptides Using LC-MS/MS Data

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

Other files and links

Projects

Clinical Bioinformatics

Cite this