D. Skola

发表

Evidence for a common evolutionary rate in metazoan transcriptional networks

T. Ideker, Anne-Ruxandra Carvunis, J. Kreisberg, 2015, eLife.

Evaluation of an optimized protocol and Illumina ARTIC V4 primer pool for sequencing of SARS-CoV-2 using COVIDSeq™ and DRAGEN™ COVID Lineage App workflow

G. Schroth, M. Hardison, D. Skola, 2022, bioRxiv.

Analysis of Genetically Diverse Macrophages Reveals Local and Domain-wide Mechanisms that Control Transcription Factor Binding and Function

C. Glass, B. Ren, D. Metzler, 2018, Cell.

Extracting allelic read counts from 250,000 human sequencing runs in Sequence Read Archive

H. Carter, D. Skola, Michelle Dow, 2018, bioRxiv.

SF2523: Dual PI3K/BRD4 Inhibitor Blocks Tumor Immunosuppression and Promotes Adaptive Immune Responses in Cancer

C. Glass, D. Durden, J. Garlich, 2019, Molecular Cancer Therapeutics.

An environment-dependent transcriptional network specifies human microglia identity

Baptiste N. Jaeger, C. Glass, R. Ransohoff, 2017, Science.

Histone demethylase LSD1 regulates hematopoietic stem cells homeostasis and protects from death by endotoxic shock

C. Glass, M. Rosenfeld, K. Saijo, 2017, Proceedings of the National Academy of Sciences.

Systemic Influences of Mammary Cancer on Monocytes in Mice

D. Skola, L. Cassetta, S. Webb, 2021, bioRxiv.

Transcriptional control of microglia phenotypes in health and disease.

Dylan Skola, C. Glass, I. Holtman, 2017, The Journal of clinical investigation.

University of Groningen Transcriptional control of microglia phenotypes in health and disease

C. Glass, I. Holtman, D. Skola, 2017 .

Title : Evidence for a common evolutionary rate in metazoan 1 transcriptional networks

T. Ideker, Anne-Ruxandra Carvunis, J. Kreisberg, 2015 .

Macrophage Syk–PI3Kγ Inhibits Antitumor Immunity: SRX3207, a Novel Dual Syk–PI3K Inhibitory Chemotype Relieves Tumor Immunosuppression

P. Tamayo, C. Glass, D. Durden, 2020, Molecular Cancer Therapeutics.

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Amir K. Foroushani, Yuanfang Guan, Jaewoo Kang, 2019, Nature Communications.

Extracting allelic read counts from 250,000 human sequencing runs in Sequence Read Archive

Hannah Carter, Brian Tsui, Michelle Dow, 2018, bioRxiv.

Increasing metadata coverage of SRA BioSample entries using deep learning–based named entity recognition

Chun-Nan Hsu, Hannah Carter, Michelle Dow, 2018, bioRxiv.

Increasing metadata coverage of SRA BioSample entries using deep learning–based named entity recognition

Chun-Nan Hsu, Hannah Carter, Brian Tsui, 2018, bioRxiv.

Evidence for a common evolutionary rate in metazoan transcriptional networks

T. Ideker, Anne-Ruxandra Carvunis, J. Kreisberg, 2015, eLife.