PT - JOURNAL ARTICLE AU - Gökmen Altay AU - Zeyneb Kurt AU - Nejla Altay AU - Nizamettin Aydin TI - DepEst: an R package of important dependency estimators for gene network inference algorithms AID - 10.1101/102871 DP - 2017 Jan 01 TA - bioRxiv PG - 102871 4099 - http://biorxiv.org/content/early/2017/01/25/102871.short 4100 - http://biorxiv.org/content/early/2017/01/25/102871.full AB - Gene network inference algorithms (GNI) are popular in bioinformatics area. In almost all GNI algorithms, the main process is to estimate the dependency (association) scores among the genes of the dataset.We present a bioinformatics tool, DepEst (Dependency Estimators), which is a powerful and flexible R package that includes 11 important dependency score estimators that can be used in almost all GNI Algorithms. DepEst is the first bioinformatics package that includes such a large number of estimators that runs both in parallel and serial.DepEst is currently available on https://sites.google.com/site/gokmenaltay/depest and will be uploaded to public repositories upon publication. Package access link, instructions, various workflows and example data sets are provided in the supplementary file.