This paper su
mmarizes the recent activities of the Chro
moso
me-Centric Hu
man Proteo
me Project (C-HPP) consortiu
m, which develops new technologies to identify yet-to-be annotated proteins (ter
med 鈥渕issing proteins鈥? in biological sa
mples that lack sufficient experi
mental evidence at the protein level for confident protein identification. The C-HPP also ai
ms to identify new protein for
ms that
may be caused by genetic variability, post-translational
modifications, and alternative splicing. Proteogeno
mic data integration for
ms the basis of the C-HPP鈥檚 activities; therefore, we have su
mmarized so
me of the key approaches and their roles in the project. We present new analytical technologies that i
mprove the che
mical space and lower detection li
mits coupled to bioinfor
matics tools and so
me publicly available resources that can be used to i
mprove data analysis or support the develop
ment of analytical assays. Most of this paper鈥檚 content has been co
mpiled fro
m posters, slides, and discussions presented in the series of C-HPP workshops held during 2014. All data (posters, presentations) used are available at the C-HPP Wiki (
http://c-hpp.webhosting.rug.nl/) and in the Supporting Information.