TY - GEN
T1 - S2P
T2 - 11th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2017
AU - López-Fernández, Hugo
AU - Araújo, Jose E.
AU - Glez-Peña, Daniel
AU - Reboiro-Jato, Miguel
AU - Fdez-Riverola, Florentino
AU - Capelo-Martínez, José L.
N1 - FCT/MEC/ Portugal (UID/Multi/04378/2013) ;
Portuguese Foundation for Science and Technology under doctoral grant number SFRH/BD/109201/2015
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 2D-gel electrophoresis is widely used in combination with MALDI-TOF mass spectrometry in order to analyse the proteome of biological samples. It can be used to discover proteins that are differentially expressed between two groups (e.g. two disease conditions) obtaining thus a set of potential biomarkers. Biomarker discovery requires a lot of data processing in order to prepare data for analysis or in order to merge data from different sources. This kind of work is usually done manually, being highly time consuming and distracting the operator or researcher from other important tasks. Moreover, doing this repetitive process in a non-automated, handling-based manner is error-prone, affecting reliability and reproducibility. To overcome these drawbacks, the S2P, an AIBench based desktop multiplatform application, has been specifically created to process 2D-gel and MALDI-mass spectrometry protein identification-based data in a computer-aided manner. S2P is open source and free to all users at http://www. sing-group.org/s2p.
AB - 2D-gel electrophoresis is widely used in combination with MALDI-TOF mass spectrometry in order to analyse the proteome of biological samples. It can be used to discover proteins that are differentially expressed between two groups (e.g. two disease conditions) obtaining thus a set of potential biomarkers. Biomarker discovery requires a lot of data processing in order to prepare data for analysis or in order to merge data from different sources. This kind of work is usually done manually, being highly time consuming and distracting the operator or researcher from other important tasks. Moreover, doing this repetitive process in a non-automated, handling-based manner is error-prone, affecting reliability and reproducibility. To overcome these drawbacks, the S2P, an AIBench based desktop multiplatform application, has been specifically created to process 2D-gel and MALDI-mass spectrometry protein identification-based data in a computer-aided manner. S2P is open source and free to all users at http://www. sing-group.org/s2p.
KW - 2D-gel
KW - Bioinformatics tools
KW - Data processing
KW - MALDI-TOF-MS
KW - Mascot identifications
KW - Open source
KW - Protein data
KW - Protein identification
UR - http://www.scopus.com/inward/record.url?scp=85025148359&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-60816-7_1
DO - 10.1007/978-3-319-60816-7_1
M3 - Conference contribution
AN - SCOPUS:85025148359
SN - 978-331960815-0
VL - 616
T3 - Advances in Intelligent Systems and Computing
SP - 1
EP - 8
BT - 11th International Conference on Practical Applications of Computational Biology and Bioinformatics, 2017
PB - Springer Verlag
Y2 - 21 June 2017 through 23 June 2017
ER -