A typical affinity purification coupled to mass spectrometry (AP-MS) experiment includes the purification of a target protein (bait) using an antibody and subsequent mass spectrometry analysis of all proteins co-purifying with the bait (aka prey proteins). Like any other systems biology approach, AP-MS experiments generate a lot of data and visualization has been challenging, especially when integrating AP-MS experiments with orthogonal datasets.
%0 Journal Article
%1 Hobbs2014
%A Hobbs, Christopher K.
%A Leung, Michelle
%A Tsang, Herbert H.
%A Ebhardt, H. Alexander
%D 2014
%J BMC Bioinformatics
%K imported tsang_pub
%N 1
%P 1--5
%R 10.1186/1471-2105-15-344
%T CIG-P: Circular Interaction Graph for Proteomics
%U http://dx.doi.org/10.1186/1471-2105-15-344
%V 15
%X A typical affinity purification coupled to mass spectrometry (AP-MS) experiment includes the purification of a target protein (bait) using an antibody and subsequent mass spectrometry analysis of all proteins co-purifying with the bait (aka prey proteins). Like any other systems biology approach, AP-MS experiments generate a lot of data and visualization has been challenging, especially when integrating AP-MS experiments with orthogonal datasets.
@article{Hobbs2014,
abstract = {A typical affinity purification coupled to mass spectrometry (AP-MS) experiment includes the purification of a target protein (bait) using an antibody and subsequent mass spectrometry analysis of all proteins co-purifying with the bait (aka prey proteins). Like any other systems biology approach, AP-MS experiments generate a lot of data and visualization has been challenging, especially when integrating AP-MS experiments with orthogonal datasets.},
added-at = {2021-09-21T08:20:54.000+0200},
author = {Hobbs, Christopher K. and Leung, Michelle and Tsang, Herbert H. and Ebhardt, H. Alexander},
biburl = {https://www.bibsonomy.org/bibtex/28e2a90567b9737e644cc48fa25950094/herberttsang},
doi = {10.1186/1471-2105-15-344},
interhash = {3d59ebdc96e30a0376530d72c4badd5b},
intrahash = {8e2a90567b9737e644cc48fa25950094},
issn = {1471-2105},
journal = {BMC Bioinformatics},
keywords = {imported tsang_pub},
number = 1,
pages = {1--5},
timestamp = {2021-09-21T08:22:40.000+0200},
title = {{CIG-P: Circular Interaction Graph for Proteomics}},
url = {http://dx.doi.org/10.1186/1471-2105-15-344},
volume = 15,
year = 2014
}