Author

E. Eskin

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1 Immunology· 1 Microbiology· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:eQTL / molecular QTL mapping· 1

Frequent Co-Authors

S. Mangul· 3 shared H. T. Yang· 2 shared A. Hoffmann· 1 shared A. Jasinska· 1 shared A. Ori· 1 shared A. Zelikovsky· 1 shared B. Statz· 1 shared C. Bearden· 1 shared

Activity by Year

2015-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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3 shared papersImmunology

S. Mangul

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Profiling immunoglobulin repertoires across multiple human tissues by RNA Sequencing

S. Mangul, I. Mandric, H. T. Yang, N. Strauli, D. Montoya, J. Rotman, W. V. Der Wey, J. R. Ronas, B. Statz, A. Zelikovsky, R. Spreafico, S. Shifman, N. Zaitlen, M. Rossetti, K. M. Ansel, E. Eskin

The paper develops ImReP, a computational method to profile TCR and BCR repertoires from RNA-seq data, creating a large atlas of immunological sequences across 53 tissues.

bioRxiv · Nov 6, 2018 · PreprintImmunology

Addressing the digital divide in contemporary biology: Lessons from teaching UNIX

S. Mangul, L. Martin, A. Hoffmann, M. Pellegrini, E. Eskin

The paper presents a training model to teach UNIX command-line tools to biomedical researchers with little to no prior knowledge.

bioRxiv · Apr 7, 2017Scientific Communication & Education

Transcriptome analysis in whole blood reveals increased microbial diversity in schizophrenia

L. M Olde Loohuis, S. Mangul, A. Ori, G. Jospin, D. Koslicki, H. T. Yang, T. Wu, M. P. Boks, C. Lomen-Hoerth, M. Wiedau-Pazos, R. Cantor, W. M de Vos, R. S Kahn, E. Eskin, R. A. Ophoff

The paper analyzes the transcriptome of whole blood to find increased microbial diversity in schizophrenia patients compared to controls and other neurological disorders.

bioRxiv · Jun 7, 2016Microbiology

Characterization of expression quantitative trait loci in extensively phenotyped pedigrees ascertained for bipolar disorder

C. Peterson, S. Service, A. Jasinska, F. Gao, I. Zelaya, T. Teshiba, C. Bearden, V. Reus, G. Macaya, C. López-Jaramillo, M. Bogomolov, Y. Benjamini, E. Eskin, G. Coppola, N. Freimer, C. Sabatti

The paper characterizes expression quantitative trait loci (eQTL) in bipolar disorder pedigrees to understand genetic regulation and heritability.

bioRxiv · Nov 12, 2015 · PreprintGenomics