It's paper reviewing season! Here are 9 tips that have helped me grow as a better reviewer---we never get taught this formally, but it's extremely important for our community. 🧵👇

Our SINGE algorithm for single-cell gene regulatory network inference has been published. Atul Deshpande led this work with collaborators Ron Stewart Li-Fang (Jack) Chu. doi.org/10.1016/j.celr… 1/

On my way to #CHI2022 where I will be presenting my ACM TOCHI paper with Kurt Luther T. M. Murali — “Flud: A Hybrid Crowd–Algorithm Approach for Visualizing Biological Networks”. Talk details and video preview available at: programs.sigchi.org/chi/2022/progr… 🚀

Congrats to Yan Chak (Richard) Li for getting this work accepted for a full talk and poster at #ismb2022, his first!! A continued great collaboration with T. M. Murali, A | W and Jeff Law. #HeterogeneousEnsembles continue to rock! 😀

Looking forward to ISCB News #ISMB2022 & today's sold out GRN inference Tutorial iscb.org/ismb2022-progr… with T. M. Murali @Blessy_antony9 Kyle_Akers

Happy to share the very latest version of this work: biorxiv.org/content/10.110…. Contains even more details of methods and results on using #heterogeneous #ensembles for #dataintegration #prediction. Work led by Yan Chak (Richard) Li and great collaboration w/ T. M. Murali A | W Jeff Law

Thanks @j_perkel for mentioning BEELINE in this article!

Happy to share my work 'EI' on #dataintegration for #multimodal data via #heterogeneous #Ensemble. A generic framework to build #MachineLearning models with complex multimodal data academic.oup.com/bioinformatics… Thanks for the effort by Gaurav Pandey A | W T. M. Murali Jeff Law

Learn more about Virginia Tech's pandemic prediction and prevention Destination Areas project with T. M. Murali at the Virginia Tech CeZAP Distinguished Speaker Seminar Series in #InfectiousDiseases

Computer Science@Virginia Tech has two faculty positions open in computational biology and bioinformatics, with a focus on infectious diseases and pandemic prediction and prevention! careers.pageuppeople.com/968/cw/en-us/j…

We are beyond excited to announce the launch of the United States National Science Foundation PIPP Phase 2 Center for Community Empowering Pandemic Prediction and Prevention from Atoms to Societies! U.S. National Science Foundation T. M. Murali Virginia Tech News news.vt.edu/articles/2024/…

NEFFy: A Versatile Tool for Computing the Number of Effective Sequences • NEFFy is a comprehensive software designed to compute the “Number of Effective Sequences” (NEFF) from Multiple Sequence Alignments (MSAs). It integrates features from existing NEFF tools while adding new