Rice is a staple crop that currently feeds nearly 3 billion people worldwide. The bacteria Xanthomonas oryzae pv. oryzae (Xoo) or X. oryzae pv. oryzicola (Xoc) can cause significant crop losses. Xoo and Xoc inject transcription activator-like effector proteins (TALEs) into the host plant. The TALEs then bind to specific effector binding elements (EBEs) in the host plant genome to activate transcription of disease susceptibility (S) genes. The role of Xoo TALE Tal7b in Xoo infection, including its target genes, has been largely unstudied. Disease phenotype data was collected for 330 MAGIC rice lines infected with Xoo PXO99a or PXO99a overexpressing Tal7b. GWAS and Interval Mapping were performed to identify QTL for disease susceptibility or resistance. Nine Tal7b-associated QTL were identified. To farther narrow the list of candidate S genes, we predicted Tal7b EBEs using an updated, in-house version of the TALE-NT 2.0 software for TAL effector-target prediction and limited the results to EBEs located near the gene start site. This resulted in a total of 29 candidate genes representing likely S genes targeted by Tal7b. Functional analysis revealed that one of these candidates had been previously implicated in disease resistance and included an indel a few bases downstream of the EBE when comparing the susceptible and resistant parent sequences. Currently, we are working to integrate transcriptomics data into our candidate gene prediction workflow. Additionally, we are using this dataset as a test case for MontyDB, a database that allows for easy visualization of genetic variation between rice lines and subpopulations, to identify naturally occurring sequence variation in and around predicted EBEs that could be used as novel sources of disease resistance.