- Ilaria Granata, Enrico Troiano, Mara Sangiovanni, Mario Rosario Guarracino. Integration of transcriptomic data in a genome-scale metabolic model to investigate the link between obesity and breast cancer. BMC Bioinformatics, 20-S(4), 2019.
- Sagnik Sen, Ashmita Dey, Sourav Chowdhury, Ujjwal Maulik, Krishnananda Chattopadhyay. Understanding the evolutionary trend of intrinsically structural disorders in cancer relevant proteins as probed by Shannon entropy scoring and structure network analysis. BMC Bioinformatics, 19(13):231-242, 2019.
- Lech Nieroda, Lukas Maas, Scott Thiebes, Ulrich Lang, Ali Sunyaev, Viktor Achter, Martin Peifer. iRODS metadata management for a cancer genome analysis workflow. BMC Bioinformatics, 20(1), 2019.
- Fedor V. Kazantsev, Ekaterina S. Skolotneva, Vasiliy N. Kelbin, Elena A. Salina, Sergey A. Lashin. MIGREW: database on molecular identification of genes for resistance in wheat. BMC Bioinformatics, 20-S(1):27-34, 2019.
- Pengfei Wang, Wensheng Zhu. Replicability analysis in genome-wide association studies via Cartesian hidden Markov models. BMC Bioinformatics, 20(1), 2019.
- Jonathan D. Wren, Robert J. Doerkson, Inimary T. Toby, Bindu Nanduri, Ramin Homayouni, Prashanti Manda, Shraddha Thakkar. Proceedings of the 2018 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) conference. BMC Bioinformatics, 20-S(2), 2019.
- Joseph Luttrell IV, Tong Liu, Chaoyang Zhang, Zheng Wang. Predicting protein residue-residue contacts using random forests and deep networks. BMC Bioinformatics, 20-S(2):115-127, 2019.
- Maarten W. Paul, H. Martijn de Gruiter, Zhanmin Lin, Willy M. Baarends, Wiggert A. van Cappellen, Adriaan B. Houtsmuller, Johan A. Slotman. SMoLR: visualization and analysis of single-molecule localization microscopy data in R. BMC Bioinformatics, 20(1), 2019.
- Jingrong Zhang, Zihao Wang, Yu Chen, Renmin Han, Zhiyong Liu, Fei Sun, Fa Zhang. PIXER: an automated particle-selection method based on segmentation using a deep neural network. BMC Bioinformatics, 20(1), 2019.
- Thomas Hiscock. Adapting machine-learning algorithms to design gene circuits. BMC Bioinformatics, 20(1), 2019.