Wang Lab @ UNC Chapel Hill

Department of Genetics
Bioinformatics and Computational Biology
Program for Precision Medicine in Health Care



The Wang lab integrates advanced sequencing and high-performance computational genomics to enable precision medicine in diverse healthcare settings and populations. Our main focus is development of technologies to support faster, more accurate, and resource-appropriate molecular diagnostics for cancer and microbial pathogens.

As a part of UNC RAISE, a primary goal is the development of sequencing and computational technologies to enable precision cancer diagnostics in low-resource settings

Pediatric cancer classification

Comprehensive clinical diagnosis of childhood cancers relies on multiple costly and time-consuming techniques such as immunohistochemistry (IHC), flow cytometry, cytogenetics, fluorescence in situ hybridization (FISH), targeted PCR panels, and microarrays. Nanopore RNA-sequencing represents a potential alternative to flow cytometry, IHC, and cytogenetic approaches in low-resource settings. Clinically-relevant characterization, including cell lineage and genomic subtype, are made from low-coverage transcriptome profiling via a machine learning classifier.

Wang et al, 2022

Metagenomics and genomic epidemiology

Single-molecule sequencing of metagenomes produces more specific taxonomic and genic characterization than standard NGS, but challenges remain due to relatively low throughput and high error rate, particularly from host-associated microbial communities. We have developed novel sequencing and informatics approaches to increase throughput and classification accuracy in both synthetic and human tissue-associated microbiota.

Wang et al, 2021

Genomic epidemiology of SARS-CoV-2 and anti-microbial resistance
Wang et al. 2022. Tegha et al. 2020.

Recent Publications

Pediatric cancer genomics and diagnostics

Aijaz J, Naseer F, Hussain S, Rafie Raza M, Jamal S, Ashraf S, Furtado L, Bhakta N, Alexander TB, Wang J. Feasibility and Accuracy of Nanopore Transcriptome Sequencing for Pediatric Acute Leukemia Lineage Classification in a Resource-Constrained Setting. America Society of Hematology Annual Conference. December 2023.

Opoku K, Santiago T, Bhakta N, Alexander TB, Wang J. Transcriptome profiling of pediatric extracranial solid tumors enables rapid, low cost diagnostic classification. Oral Presentation. American Society of Human Genetics Annual Meeting, 2023

Wang J, Kumar P, Santiago T, Fedoriw Y, Roush S, Jones C, Mullighan CG, Bhakta N, Alexander TB. Classification of Pediatric Extracranial Solid Tumors Using Low-Cost Nanopore RNA Sequencing of Formalin-Fixed Paraffin-Embedded Specimens. International Society of Pediatric Oncology Annual Conference. Poster Presentation. October 2022

Wang J, Bhakta N, Ayer Miller V, Revsine M, Litzow MR, Paietta E, Fedoriw Y, Roberts KG, Gu Z, Mullighan CG, Jones CD, Alexander TB. Acute Leukemia Classification Using Transcriptional Profiles From Low-Cost Nanopore mRNA Sequencing. JCO Precis Oncol. 2022 Apr;6:e2100326.

Wang J, Bhakta N, Miller VA, Revsine M, Litzow MR, Paietta E, Roberts KG, Gu Z, Mullighan CG, Jones CD, Alexander TB. Nanopore RNA Sequencing As a Diagnostic Tool For Acute Leukemia In Low Resource Settings. International Society of Pediatric Oncology Annual Conference. Oral Presentation. October 24, 2021

Habashy C, Fedoriw Y, Ozawa S, Wang J, Aijaz J, Jamal S, Ashraf S, Lucha TA, Alabí SLF, Vasquez R, Mullighan CG, Metzger M, Jeha S, Rodriquez-Galindo C, Bhakta N, Alexander TB. Comparative Costs in Diagnostic Evaluation of Acute Leukemia in the United States and Two Lower-Middle Income Countries. Nanopore RNA Sequencing As a Diagnostic Tool For Acute Leukemia In Low Resource Settings. International Society of Pediatric Oncology Annual Conference. Oral Presentation. October 24, 2021

Zhao Y, Aldoss I, Qu C, Crawford JC, Gu Z, Allen EK, Zamora AE, Alexander TB, Wang J, Goto H, Imamura T, Akahane T, Marcucci G, Stein AS, Bhatia R, Thomas P, Forman SJ, Mullighan CG, Roberts KG. Tumor intrinsic and extrinsic determinants of response to blinatumomab in adults with B-ALL. Blood, 2020, blood.2020006287.

Microbial genomics and epidemiology

Mak QXC, Wick R, Holt JM, Wang JR. Polishing de novo nanopore assemblies of bacteria and eukaryotes with FMLRC2. Molecular Biology and Evolution. Volume 40, Issue 3, March 2023, msad048.

Hakim J, Waltmann A, Tinajeros F, Kharabora O, Machaca EM, Calderon M, del Carmen Menduiña M, Wang J, Rueda D, Zimic M, Verástegui M, Juliano JJ, Gilman RH, Mugnier MR, Bowman NM, Chagas working group. Amplicon sequencing reveals complex infection in infants congenitally infected with Trypanosoma cruzi and informs the dynamics of parasite transmission. The Journal of Infectious Diseases. 2023; 228 (6), 769-776.

Wang J, Hawken SE, Jones CD, Hagan RS, Bushman F, Everett J, Miller MB, Rodino KG. Collaboration between clinical and academic laboratories for sequencing SARS-CoV-2 genomes. Journal of Clinical Microbiology. 2022.

Tegha G, Ciccone EJ, Krysiak R, Kaphatika J, Chikaonda R​, Ndhlovu I​, van Duin D, Hoffman​ I, Juliano JJ#, Wang J#. Genomic epidemiology of Escherichia coli isolates from a tertiary referral center in Lilongwe, Malawi. Microbial Genomics. 2021; Jan; 7(1).

Wang J, Bleich RM, Zarmer S, Zhang S, Dogan B, et al. Long-read sequencing to interrogate strain-level variation among adherent-invasive Escherichia coli isolated from human intestinal tissue. PLOS ONE. 2021; 16(10): e0259141.

Lopez LR, Barlogio CJ, Broberg CA, Wang J, Arthur JC. A nadA mutation confers nicotinic acid auxotrophy in pro-carcinogenic intestinal Escherichia coli NC101. Frontiers in Microbiology, 2021, 12, 1081.


Jeremy Wang, Ph.D.
Assistant Professor
Department of Genetics
Program for Precision Medicine in Health Care
Center for Gastrointestinal Biology and Disease

John Lin
Ph.D. student
Curriculum for Bioinformatics and Computational Biology

Kofi Opoku, M.D., M.P.H.
Research Associate

Julie Geyer, Ph.D.
Postdoctoral Research Associate

Ashley Merrills
Undergraduate Researcher

Prospective students & postdocs

Graduate students are admitted through the Biological & Biomedical Sciences Program, through which you may join any number of labs, including ours.

Prospective postdocs should email their CV to [ jeremy @ unc ⋅ edu ].



Lab: 3144 Genome Sciences Building
Ph: 919 886 4006
Email: jeremy @ unc ⋅ edu