pFind Studio: a computational solution for mass spectrometry-based proteomics

 

Contests

 

Institute of Computing Technology,

Chinese Academy of Sciences,

Beijing, China

 

 

KDD-Cup

KDD Cup is the worldwide Data Mining and Knowledge Discovery competition organized by ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining). KDD Cup is held annually in conjunction with the ACM SIGKDD conferences. It aims at showing the best methods for discovering higher-level knowledge from data, helping to close the gap between research and industry and stimulating further KDD research and development. More...

iPRG 2008

In January 2008, we participated the ABRF iPRG study with pFind (a database-searching software for protein identification via tandem mass spectrometry) and pCompare (an in-house software tool for peptide identification result parsing and protein inferring) developed by ourselves. The primary goal of this study is to evaluate the current levels of reporting protein identification results in different labs. According to the independent evaluation by ABRF iPRG, our software achieve comparative performance to that of experts in iPRG on an average with a relatively lower false discovery rate. Now we are taking our efforts to make pFind more reliable and applicable. More...

iPRG 2010

In January 2010, we participated the ABRF iPRG study with pFind, developed by our group. This year¡¯s study focused on the evaluation to identify the phosphopeptides and localize the phosphorylation sites. In the study, an LC-MS/MS dataset from a lysate digested with trypsin and enriched for phosphopeptides using strong cation exchange fractionation followed by immobilized metal affinity chromatography (SCX/IMAC) was provided. This study helped the participants to evaluate their data analysis capabilities and approaches relative to others in analyzing a common data set. We had two submissions numbered ¡®86010¡¯ and ¡®13800¡¯, According to the identification number and the overlapping results for all pair-wise labs, ¡®86010¡¯ and ¡®13800¡¯ are among the best three results (the other is ¡®22730¡¯). For more details, please refer to the following documents or ABRF website.

1. iPRG 2010 study announcement

2. iPRG 2010 presentation slides

3. iPRG 2010 poster