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Approaches for integrating heterogeneous RNA-seq data reveals cross-talk between microbes and genes in asthmatic patients
View ORCID ProfileDaniel Spakowicz, View ORCID ProfileShaoke Lou, Brian Barron, View ORCID ProfileTianxiao Li, Jose L Gomez, Qing Liu, Nicole Grant, Xiting Yan, George Weinstock, Geoffrey L Chupp, View ORCID ProfileMark Gerstein
doi: https://doi.org/10.1101/765297
Daniel Spakowicz
1Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT
2The Jackson Laboratory for Genomic Medicine, Farmington, CT
3Division of Medical Oncology, Ohio State University College of Medicine, Columbus, OH
4Department of Biomedical Informatics, Ohio State University College of Medicine, Columbus, OH
Shaoke Lou
1Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT
Brian Barron
1Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT
Tianxiao Li
1Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT
Jose L Gomez
5Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT
Qing Liu
5Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT
Nicole Grant
5Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT
Xiting Yan
5Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT
George Weinstock
2The Jackson Laboratory for Genomic Medicine, Farmington, CT
Geoffrey L Chupp
5Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT
Mark Gerstein
1Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT
6Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT
7Department of Computer Science, Yale University, New Haven, CT
8Department of Statistics and Data Science, Yale University, New Haven, CT

- Supplemental Figures[supplements/765297_file04.pdf]
Posted September 11, 2019.
Approaches for integrating heterogeneous RNA-seq data reveals cross-talk between microbes and genes in asthmatic patients
Daniel Spakowicz, Shaoke Lou, Brian Barron, Tianxiao Li, Jose L Gomez, Qing Liu, Nicole Grant, Xiting Yan, George Weinstock, Geoffrey L Chupp, Mark Gerstein
bioRxiv 765297; doi: https://doi.org/10.1101/765297
Approaches for integrating heterogeneous RNA-seq data reveals cross-talk between microbes and genes in asthmatic patients
Daniel Spakowicz, Shaoke Lou, Brian Barron, Tianxiao Li, Jose L Gomez, Qing Liu, Nicole Grant, Xiting Yan, George Weinstock, Geoffrey L Chupp, Mark Gerstein
bioRxiv 765297; doi: https://doi.org/10.1101/765297
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