Proteome informatics I: Bioinformatics tools for processing experimental data

@article{citeulike:945333, abstract = {Bioinformatics tools for proteomics, also called proteome informatics tools, span today a large panel of very diverse applications ranging from simple tools to compare protein amino acid compositions to sophisticated software for large-scale protein structure determination. This review considers the available and ready to use tools that can help end-users to interpret, validate and generate biological information from their experimental data. It concentrates on bioinformatics tools for 2-DE analysis, for LC followed by MS analysis, for protein identification by PMF, by peptide fragment fingerprinting and by de novo sequencing and for data quantitation with MS data. It also discloses initiatives that propose to automate the processes of MS analysis and enhance the quality of the obtained results.}, address = {Proteome Informatics Group, Swiss Institute of Bioinformatics, Geneva, Switzerland; Computer Science Department, Geneva University, Geneva, Switzerland; Geneva University Hospitals, Geneva, Switzerland}, author = {Palagi, Patricia M. and Hernandez, Patricia and Walther, Daniel and Appel, Ron D. }, citeulike-article-id = {945333}, doi = {10.1002/pmic.200600273}, journal = {PROTEOMICS}, number = {20}, pages = {5435--5444}, posted-at = {2007-10-12 15:52:02}, priority = {2}, title = {Proteome informatics I: Bioinformatics tools for processing experimental data}, url = {http://dx.doi.org/10.1002/pmic.200600273}, volume = {6}, year = {2006} }

TY - JOUR ID - citeulike:945333 L3 - citeulike-article-id:945333 TI - Proteome informatics I: Bioinformatics tools for processing experimental data JF - PROTEOMICS VL - 6 IS - 20 SP - 5435 EP - 5444 AD - Proteome Informatics Group, Swiss Institute of Bioinformatics, Geneva, Switzerland; Computer Science Department, Geneva University, Geneva, Switzerland; Geneva University Hospitals, Geneva, Switzerland N2 - Bioinformatics tools for proteomics, also called proteome informatics tools, span today a large panel of very diverse applications ranging from simple tools to compare protein amino acid compositions to sophisticated software for large-scale protein structure determination. This review considers the available and ready to use tools that can help end-users to interpret, validate and generate biological information from their experimental data. It concentrates on bioinformatics tools for 2-DE analysis, for LC followed by MS analysis, for protein identification by PMF, by peptide fragment fingerprinting and by de novo sequencing and for data quantitation with MS data. It also discloses initiatives that propose to automate the processes of MS analysis and enhance the quality of the obtained results. AU - Palagi, Patricia AU - Hernandez, Patricia AU - Walther, Daniel AU - Appel, Ron PY - 2006/// UR - http://dx.doi.org/10.1002/pmic.200600273 ER -