Mohamed Nadhir Djekidel, PhD

Bioinformatics Research Scientist, Epigenetics

Education

Postdoctoral Fellow - Harvard Medical School, Boston, MA
PhD (Bioinformatics) - Tsinghua University, Beijing, China
MS (Computer Science/Bioinformatics) - Central South University, Changsha, China
BIng (Computer Science) - École nationale supérieure d'informatique, Algiers, Algeria

About

Dr. Mohamed Nadhir Djekidel is a Bioinformatics researcher in the epigenetic group of the Center of Applied Bioinformatics. He enjoys tackling challenging bioinformatics problems and likes to develop new and effective approaches to deal with them. He has experience in working with different next generation sequencing data ranging from transcriptome (RNA-Seq), epigenome (ChIP-Seq, ATAC-Seq, CUT&RUN, WGBS, RRBS), chromatin structure (Hi-C, ChIA-PET) and single-cell sequencing data. He has also developed several publicly available computational methods and visualization tools.

Research Interests

Development of new computational/Statistical analysis methods and optimized NGS pipelines.
Epigenetic regulation of gene expression.
Integrative analysis of multi-omics data.
Single-cell omics.
Biology of human diseases

Contact Information

Mohamed Nadhir Djekidel, PhD Center for Applied Bioinformatics MS 1122, Room DP032.09 St. Jude Children's Research Hospital 262 Danny Thomas Place Memphis, TN 38105-3678

Email: nadhir.djekidel@stjude.org
Phone: (901) 595-7715

Selected Publications

Fu, X.*, Djekidel, M. N.* & Zhang, Y. A transcriptional roadmap for 2C-like–to–pluripotent state transition. Science Advances 6, eaay5181 (2020).

Bhattacherjee, A*., Djekidel, M.N.*, Chen, R.* et al. Cell type-specific transcriptional programs in mouse prefrontal cortex during adolescence and addiction. Nat Commun 10, 4169 (2019.

Fu, X.*, Wu, X.*, Djekidel, M.N.* et al. Myc and Dnmt1 impede the pluripotent to totipotent state transition in embryonic stem cells. Nat Cell Biol 21, 835–844 (2019).

Tuesta, L.M., Djekidel, M.N., Chen, R. et al. In vivo nuclear capture and molecular profiling identifies Gmeb1 as a transcriptional regulator essential for dopamine neuron function. Nat Commun 10, 2508 (2019).

Djekidel, M. N.* et al. Reprogramming of Chromatin Accessibility in Somatic Cell Nuclear Transfer Is DNA Replication Independent. Cell reports 23, 1939–1947 (2018).

Djekidel, M. N., Chen, Y. & Zhang, M. Q. FIND: difFerential chromatin INteractions Detection using a spatial Poisson process. Genome research (2018).

Li, Y., He, Y., Liang, Z., Wang, Z., Cheng, F., Djekidel, M. N. et al. Alterations of specific chromatin conformation affect ATRA-induced leukemia cell differentiation. Cell Death Dis 9, 200 (2018).

Liang, Z., Li, G., Wang, Z., Djekidel, M. N. et al. BL-Hi-C is an efficient and sensitive approach for capturing structural and regulatory chromatin interactions. Nat Commun 8, 1622 (2017).

Djekidel, M.N., Wang, M., Zhang, M.Q. et al. HiC-3DViewer: a new tool to visualize Hi-C data in 3D space. Quant Biol 5, 183–190 (2017).

Djekidel, M.N., Liang, Z., Wang, Q. et al. 3CPET: finding co-factor complexes from ChIA-PET data using a hierarchical Dirichlet process. Genome Biol 16, 288 (2015).

Full list of publications