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  • Applying meta-analysis to Genotype-Tissue Expression data from multiple tissues to identify eQTLs and increase the number of eGenes
    Dat Duong, Lisa Gai, Sagi Snir, Eun Yong Kang, Buhm Han, Jae Hoon Sul, Eleazar Eskin
    bioRxiv 100701; doi: https://doi.org/10.1101/100701
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  • The 3D genome organization of Drosophila melanogaster through data integration
    Qingjiao Li, Harianto Tjong, Xiao Li, Ke Gong, Xianghong Jasmine Zhou, Irene Chiolo, Frank Alber
    bioRxiv 099911; doi: https://doi.org/10.1101/099911
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  • riboviz: analysis and visualization of ribosome profiling datasets
    Oana Carja, Tongji Xing, Joshua B. Plotkin, Premal Shah
    bioRxiv 100032; doi: https://doi.org/10.1101/100032
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  • CRISPR-RT: A web service for designing CRISPR-C2c2 crRNA with improved target specificity
    Houxiang Zhu, Emily Richmond, Chun Liang
    bioRxiv 099895; doi: https://doi.org/10.1101/099895
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  • DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding Proteins
    Hamid Reza Hassanzadeh, May D. Wang
    bioRxiv 099754; doi: https://doi.org/10.1101/099754
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  • Biowheel: interactive visualization and exploration of biomedical data
    Chenyue W. Hu, Alex J. Bisberg, Amina A. Qutub
    bioRxiv 099739; doi: https://doi.org/10.1101/099739
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  • Using pseudoalignment and base quality to accurately quantify microbial community composition
    M. Reppell, J. Novembre
    bioRxiv 097949; doi: https://doi.org/10.1101/097949
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  • Utilization of network graph connectivity to evaluate complications of inpatient medical and surgical populations as a method to prioritize quality improvement efforts
    Kattie Bear-Pfaffendorf
    bioRxiv 099150; doi: https://doi.org/10.1101/099150 Confirmatory Results
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  • Automatic classification of diatoms of Merja fouarate
    Nouzha Chahboune, Mohamed Mehdi, Allal Douira
    bioRxiv 099135; doi: https://doi.org/10.1101/099135
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  • Snaptron: querying and visualizing splicing across tens of thousands of RNA-seq samples
    Christopher Wilks, Phani Gaddipati, Abhinav Nellore, Ben Langmead
    bioRxiv 097881; doi: https://doi.org/10.1101/097881
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