Scheuermann, J.  et al.: 2024 Science of Synthesis, 2023/5: DNA-Encoded Libraries DOI: 10.1055/sos-SD-241-00291
DNA-Encoded Libraries

5.1 Informatic Tools, Processing, and Evaluation of DEL Selection Data

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Book

Editors: Scheuermann, J. ; Li, Y.

Authors: Barluenga, S. ; Bassi, G. ; Brunschweiger, A. ; Cai, B. ; Cazzamalli, S. ; Chheda, P. ; Cui, M. ; Cui, W. ; Fang, X. ; Farrera-Soler, L. ; Favalli, N. ; Feng, J.; Foley, T. L. ; Franzini, R. M. ; Georgiev, T. ; Gillingham, D. ; Gloger, A. ; Graham, J. D. ; Granados, A. ; Heiden, S.; Hou, W. ; Huang, Y. ; Keefe, A. D. ; Krusemark, C. J. ; Li, X. ; Li, Y. ; Lin, W. ; Litovchick, A.; Liu, G. ; Lu, X. ; Lucaroni, L. ; Ma, P. ; Migliorini, F. ; Molander, G. A. ; Neri, D. ; Nie, Q. ; Oehler, S. ; Prati, L. ; Puglioli, S. ; Reddavide, F. V. ; Satz, A. L. ; Sauter, B. ; Scheuermann, J. ; Schuman, D.; Simmons, N. ; Stanway-Gordon, H. A. ; Su, W. ; Sun, J. ; Thompson, M.; Vummidi, B. R.; Wang, X. ; Wang, Y. ; Wang, Z. ; Waring, M. J. ; Willems, S.; Winssinger, N. ; Xia, B. ; Xiong, F. ; Xu, H. ; Xu, L. ; Yang, G. ; Zhang, G. ; Zhang, Y. ; Zhou, Y.

Title: DNA-Encoded Libraries

Print ISBN: 9783132455221; Online ISBN: 9783132437357; Book DOI: 10.1055/b000000342

Subjects: Organic Chemistry

Science of Synthesis Reference Libraries



Parent publication

Title: Science of Synthesis

DOI: 10.1055/b-00000101

Series Editors: Fürstner, A. (Editor-in-Chief); Carreira, E. M.; Faul, M.; Kobayashi, S.; Koch, G.; Molander, G. A.; Nevado, C.; Trost, B. M.; You, S.-L.

Type: Multivolume Edition

 


Abstract

DEL (DNA-encoded library) selection data is directly decoded from the readout using next-generation sequencing (NGS). For better evaluation of massive amounts of data, informatics tools making use of fundamental statistics are crucial to rule out the negatives together with identifying false-positive or false-negative signals. An understanding of the noise within the whole process, from the DEL construction to the NGS readout, will improve the accuracy and efficiency during data evaluation by scientists and, eventually, machine-learning models. Well-designed visualization tools are also helpful for efficient hit prioritization.

 
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