Author: Aurrecoechea, Cristina; Barreto, Ana; Basenko, Evelina Y.; Brestelli, John; Brunk, Brian P.; Cade, Shon; Crouch, Kathryn; Doherty, Ryan; Falke, Dave; Fischer, Steve; Gajria, Bindu; Harb, Omar S.; Heiges, Mark; Hertz-Fowler, Christiane; Hu, Sufen; Iodice, John; Kissinger, Jessica C.; Lawrence, Cris; Li, Wei; Pinney, Deborah F.; Pulman, Jane A.; Roos, David S.; Shanmugasundram, Achchuthan; Silva-Franco, Fatima; Steinbiss, Sascha; Stoeckert, Christian J.; Spruill, Drew; Wang, Haiming; Warrenfeltz, Susanne; Zheng, Jie
Title: EuPathDB: the eukaryotic pathogen genomics database resource Document date: 2017_1_4
ID: t94aufs3_36
Snippet: A high priority for EuPathDB in the coming year is to better represent host responses to pathogen infection and enable users to mine these data to identify genes (or other entities) and relationships of interest. Currently, only a few omics data sets are available for host response, but we expect this situation to change rapidly. We will be expanding not only the amount of host data that we load, but also the types of host response data so that w.....
Document: A high priority for EuPathDB in the coming year is to better represent host responses to pathogen infection and enable users to mine these data to identify genes (or other entities) and relationships of interest. Currently, only a few omics data sets are available for host response, but we expect this situation to change rapidly. We will be expanding not only the amount of host data that we load, but also the types of host response data so that we can include highthroughput metabolic and immune profiling and rich descriptions of all study, experiment and sample metadata. We will be loading these rich multi-dimensional studies and we will be implementing a variety of tools and analyses to mine these data at a systems level.
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