The Campbell Lab is participating in an Ancestry Seed Network within the Human Cell Atlas (HCA). This project aims to leverage state-of-the-art techniques to characterize cellular heterogeneity across ancestries and ages in the healthy prostate. This network is led by Franklin Huang at UCSF and a collaboration of investigators from UCSF, University of Texas, and Boston University.
Category Archives: News
We’re very excited to announce the publication of the musicatk toolkit which is open access at the AACR journal Cancer Research. musicatk provides a comprehensive workflow for the analysis and visualization of mutational signatures. Available on Bioconductor!
New funding from NCI – The Campbell lab has received a new U01 from the NCI’s ITCR program to develop novel methods and software for mutational signature inference in collaboration with the Yajima and Huggins labs at BU. Additionally, the lab has received a new R01 from the NCI’s Center to Reduce Cancer Health Disparities to ……
ExperimentSubset is an R package to manage subsets of Bioconductor Experiment objects during an analysis workflow. The package boasts features such as efficient memory management and provenance tracking while keeping data redundancy at minimum. This work was led by lab member Irzam Sarfraz and was recently accepted for publication in Oxford Bioinformatics. The package is ……
A study led by Neil Ganem and his graduate student Ryan Quinton was published in Nature. Genomic characteristics of tumors that have undergone whole-genome doubling (WGD) were explored and a novel vulnerability was identified in the gene KIF18A using the Broad’s Dependency Map data. KIF18A encodes a mitotic kinesin protein and was required for viability of tumors with WGD. Yusuke Koga and Josh Campbell contributed to the study by aiding ……
The Lung Cancer Research Foundation (LCRF) is a leading organization that funds research leading towards improvement of outcome for people with lung cancer. LCRF during its 15th Anniversary Celebration event announced the recipients of the 2020 Scientific Grant Program. As a part of the 2020 Disparities in Lung Cancer Research Grant Program, Joshua D. Campbell and Umit Tapan were awarded their proposal entitled “Determining differences ……
Our Bayesian method for identifying and removing contamination from single cell data was recently published in Genome Biology. This work was led by Iris Yang in collaboration with Masanao Yajima. This method is available in the Celda R package.
Rui Hong is a graduate student in the BU Bioinformatics program. He has joined the Campbell lab to work on single cell software and methods development.