Recent Posts

• June 01, 2021

  New publication

  Genís recently published a review paper in Frontiers in Genetics. In the review, we describe community detection in large-scale bipartite biological networks. Network analysis is a powerful methodology to understand the complex interplay of biological interactions. With the emergence of next generation sequencing technologies and other high-throughput experimental approaches, large amounts genome-wide data are now available for analysis. While standard biological approaches have helped our understanding of...

• June 01, 2021

  New BioRxiv pre-print

  We contributed to a new BioRχiv pre-print by Daniel and his PhD advisor James Cai. Daniel developed R package rPanglaoDb that can be used to download and merge labeled single-cell RNA-seq data from the PanglaoDB database. In his manuscript, Daniel showed how this tool can be used to characterize cells with rare molecular phenotypes. More information on the pre-print can be found here.

• May 21, 2021

  Marieke joined the editorial board of Bioinformatics Advances

  Marieke joined the editorial board of the new Oxford University Press journal Bioinformatics Advances. Bioinformatics Advances is an interdisciplinary journal on bioinformatics and computational biology that covers bioinformatics methods as well as biological contributions for which the application of advanced computational methods is essential. Published jointly by Oxford University Press and by the International Society for Computational Biology, it is a fully open access, peer-reviewed journal....

• May 10, 2021

  New summer student

  We are very excited to announce that Shanna Schneidewind has joined the lab as a summer student from the University of Poitiers, France. Shanna will be working with us for the next 3 months, focusing on modeling interactions between biological pathways and clinical features in cancer.

• April 12, 2021

  Postdoctoral position available

  We have an open position for a 3-year postdoctoral fellowship regarding patient-specific gene regulatory network analysis in breast cancer. Please check the open positions page for more information.