Chenguang Zhao

TL;DR: The third CAFA challenge, CAFA3, that featured an expanded analysis over the previous CAFA rounds, both in terms of volume of data analyzed and the types of analysis performed, concluded that while predictions of the molecular function and biological process annotations have slightly improved over time, those of the cellular component have not.

TL;DR: It is reported that the CAFA community now involves a broad range of participants with expertise in bioinformatics, biological experimentation, biocuration, and bioontologies, working together to improve functional annotation, computational function prediction, and the ability to manage big data in the era of large experimental screens.

TL;DR: Evaluations performed on multiple pathways retrieved from the saccharomyces genome database (SGD) show that GOGO can accurately and robustly cluster genes based on functional similarities and integration of the tool into bioinformatics pipelines for large-scale calculations.

TL;DR: An online knowledge base TADKB integrating knowledge for TADs in eleven cell types of human and mouse is built and it is found that most of the Tads in the functional clusters with depleted chromatin states are clustered into one or two structural clusters, indicating a connection between the 3D structures of T ADs and their DNA functions in terms of chromatinStates.

TL;DR: PANDA achieves better performances in terms of area under the curve for precision and recall compared to the baseline predictors and also for every pooling and filtering step of PANDA.