👁 picture of the well on UNC campus, from unc.edu
Genetics Department ~
Biostatistics Department ~
UNC-Chapel Hill ~
see lab members for contact details.
News
Research
The Love Lab uses statistical models to infer biologically meaningful
patterns in high-dimensional datasets, and develops
open-source statistical software for the Bioconductor Project.
At UNC-Chapel Hill, we often collaborate with groups in the
Genetics Department and the Lineberger Comprehensive Cancer Center,
studying how genetic variants relevant to diseases are associated with changes
in molecular and cellular phenotypes.
- We collaborate with the Patro lab in the
development of computational and statistical methods for
quantification of RNA transcript abundance, including the software
packages salmon for short read
RNA-seq, oarfish for long read RNA-seq and
tximeta for import of
data into R/Biconductor.
- We collaborate with the
Won lab and the
Mohlke lab as part of
the IGVF consortium, studying the effect of disease-associated GWAS
variants via in vivo massively parallel reporter assays (MPRA) to
assess tissue-, sex-, and treatment-specific allelic effects.
- We collaborate with the Stein lab in the
study of genetic risk for neuropsychiatric disorders, leveraging
data from molecular assays of chromatin accessibility and the
transcriptome in neural progenitor cell lines to macroscale
phenotypes such as gross human brain structure measured with MRI.
In collaboration with Stein lab researchers, we have developed the
MRLocus method for identifying
causal genes from QTL studies and GWAS.
- We collaborate with the
Troester lab
and the Carolina Breast Cancer Study, investigating the intersection
between gene expression profiles of breast tumors and genetic risk
for breast cancer, with a focus on racial disparities in patient
outcomes.
- We develop, support, and maintain the
DESeq2 package
for statistical analysis of RNA-seq and other sequencing experiments,
and associated packages and workflows for analyzing genomics
data. See the Software tab for more details.
Past news items
2024
2023
- Mike starts as Associate Director of the Bioinformatics and Computational Biology
(BCB) PhD program at UNC-Chapel Hill
- Tidyomics preprint is posted: doi: 10.1101/2023.09.10.557072
- Euphy’s paper on detecting allelic imbalance at the isoform-level is published:
Euphy Y. Wu, Noor P. Singh, Kwangbom Choi, Mohsen Zakeri, Matthew Vincent,
Gary A. Churchill, Cheryl L. Ackert-Bicknell, Rob Patro & Michael I. Love
“SEESAW: detecting isoform-level allelic imbalance accounting for inferential uncertainty”
doi: 10.1186/s13059-023-03003-x
- Wancen’s bootRanges and Eric’s matchRanges methods published:
Mu et al. “bootRanges: flexible generation of null sets of genomic ranges for hypothesis testing”
doi: 10.1093/bioinformatics/btad190
Davis et al. “matchRanges: generating null hypothesis genomic ranges via covariate-matched sampling”
doi: 10.1093/bioinformatics/btad197
- Ji-Eun’s preprint, Diffsig, a
method for associating risk factors with mutational signatures:
doi: 10.1101/2023.02.09.527740
2022
2021
- nullranges
is released on Bioconductor! Joint work from Wancen and Eric Davis
from Doug Phanstiel lab.
- Wancen’s airpart
method now has a preprint on bioRxiv:
doi: 10.1101/2021.10.15.464546
- Congratulations to Sean McCabe for winning the 2021 Larry
Kupper Award for Best Dissertation Publication! Congratulations to
Sarah Reifeis for being inducted into Delta Omega, and on receiving
a Distinguished Student Paper Awards for ENAR 2021!
- Wancen’s single cell allelic analysis package accepted
into Bioconductor:
airpart
- Anqi and Nana’s MRLocus paper is published in PLOS Genetics:
doi: 10.1371/journal.pgen.1009455
- Arjun’s MOSTWAS paper is published in PLOS Genetics:
doi: 10.1371/journal.pgen.1009398
- Arjun’s DeCompress paper is published in Nucleic Acids Research:
doi: 10.1093/nar/gkab031
- Scott’s inferential summaries for scRNA-seq paper is published in
Bioinformatics:
doi: 10.1093/bioinformatics/btab001
2020
- Kwame won a poster award at ABRCMS 2020, and a JTech
CSHL Biological Data Science 2020 Scholarship. His poster and
abstract were for his R package: vizWithSCE.
- Anqi’s last chapter is preprinted: “MRLocus: identifying causal genes
mediating a trait through Bayesian estimation of allelic heterogeneity”
doi: 10.1101/2020.08.14.250720
- Arjun’s co-authored paper on NanoString normalization with Alina
Hamilton is published in Briefings in Bioinformatics,
doi: 10.1093/bib/bbaa163
- Sarah Reifeis’s first paper is published in Genetic Epidemiology:
“Assessing exposure effects on gene expression”
doi: 10.1002/gepi.22324
- Arjun Bhattacharya’s second and third papers are preprinted:
- Tximeta is published in PLOS Computational Biology
doi: 10.1371/journal.pcbi.1007664
- Arjun Bhattacharya’s breast cancer TWAS is published in Genome Biology
doi: 10.1186/s13059-020-1942-6
- New paper on F1000Research: From first author Stuart Lee (Monash U.),
“Fluent genomics with plyranges and tximeta”
doi: 10.12688/f1000research.22259.1
2019
@mikelove@genomic.social
