@article{Bankevich2018,
  author = {Anton Bankevich and Pavel Pevzner},
  title = {Joint Analysis of Long and Short Reads Enables Accurate Estimates of Microbiome Complexity},
  journal = {Cell Systems},
  volume = {7},
  number = {2},
  pages = {192--200.e3},
  year = {2018},
  doi = {10.1016/j.cels.2018.06.009},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 1-20, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {1--20},
  proceedings_doi = {10.1007/978-3-319-89929-9_1}
}

@article{Chakraborty2020,
  author = {Shounak Chakraborty, Stefan Canzar, Tobias Marschall, Marcel H. Schulz},
  title = {Chromatyping: Reconstructing Nucleosome Profiles from NOMe Sequencing Data},
  journal = {Journal of Computational Biology},
  volume = {27},
  number = {3},
  pages = {330--341},
  year = {2020},
  doi = {10.1089/cmb.2019.0457},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 21-36, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {21--36},
  proceedings_doi = {10.1007/978-3-319-89929-9_2}
}

@article{Sahinalp,2020,
  author = {Ali Ebrahimpour Boroojeny, Akash Shrestha, Ali Sharifi-Zarchi, Suzanne Renick Gallagher, S. Cenk Sahinalp, and Hamidreza Chitsaz},
  title = {Graph Traversal Edit Distance and Extensions},
  journal = {Journal of Computational Biology},
  volume = {27},
  number = {3},
  pages = {317--329},
  year = {2020},
  doi = {10.1089/cmb.2019.0511},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 37-53, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {37--53},
  proceedings_doi = {10.1007/978-3-319-89929-9_3}
}

@inproceedings{Galitzine2018,
  author = {Cyril Galitzine, Pierre M. Jean Beltran, Ileana M. Cristea, Olga Vitek},
  title = {Statistical Inference of Peroxisome Dynamics},
  booktitle = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 54-74, Springer, Cham.},
  pages = {54--74},
  year = {2018},
  doi = {10.1007/978-3-319-89929-9_4},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 54-74, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {54--74},
  proceedings_doi = {10.1007/978-3-319-89929-9_4}
}

@article{Spang,2020,
  author = {Franziska Görtler, Marian Schön, Jakob Simeth, Stefan Solbrig, Tilo Wettig, Peter J. Oefner, Rainer Spang, and Michael Altenbuchinger},
  title = {Loss-Function Learning for Digital Tissue Deconvolution},
  journal = {Journal of Computational Biology},
  volume = {27},
  number = {3},
  pages = {342--355},
  year = {2020},
  doi = {10.1089/cmb.2019.0462},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 75-89, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {75--89},
  proceedings_doi = {10.1007/978-3-319-89929-9_5},
  preprint_id = {arXiv:1801.08447},
  preprint_doi = {10.48550/arXiv.1801.08447}
}

@inproceedings{Joseph2018,
  author = {Tyler A. Joseph and Itsik Pe'er},
  title = {Inference of Population Structure from Ancient DNA},
  booktitle = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 90-104, Springer, Cham.},
  pages = {90--104},
  year = {2018},
  doi = {10.1007/978-3-319-89929-9_6},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 90-104, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {90--104},
  proceedings_doi = {10.1007/978-3-319-89929-9_6},
  preprint_id = {bioRxiv 261131},
  preprint_doi = {10.1101/261131}
}

@inproceedings{Kuosmanen2018,
  author = {Anna Kuosmanen, Topi Paavilainen, Travis Gagie, Rayan Chikhi, Alexandru Tomescu, Veli Mäkinen},
  title = {Using Minimum Path Cover to Boost Dynamic Programming on DAGs: Co-linear Chaining Extended},
  booktitle = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 105-121, Springer, Cham.},
  pages = {105--121},
  year = {2018},
  doi = {10.1007/978-3-319-89929-9_7},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 105-121, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {105--121},
  proceedings_doi = {10.1007/978-3-319-89929-9_7},
  preprint_id = {arXiv:1705.08754},
  preprint_doi = {10.48550/arXiv.1705.08754}
}

@article{Thorne,2020,
  author = {Gary Larson, Jeffrey L. Thorne, and Scott Schmidler},
  title = {Incorporating Nearest-Neighbor Site Dependence into Protein Evolution Models},
  journal = {Journal of Computational Biology},
  volume = {27},
  number = {3},
  pages = {361--375},
  year = {2020},
  doi = {10.1089/cmb.2019.0500},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 122-137, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {122--137},
  proceedings_doi = {10.1007/978-3-319-89929-9_8}
}

@inproceedings{Li2018,
  author = {Sujun Li, Alex DeCourcy, Haixu Tang},
  title = {Constrained De Novo Sequencing of neo-Epitope Peptides Using Tandem Mass Spectrometry},
  booktitle = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 138-153, Springer, Cham.},
  pages = {138--153},
  year = {2018},
  doi = {10.1007/978-3-319-89929-9_9},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 138-153, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {138--153},
  proceedings_doi = {10.1007/978-3-319-89929-9_9}
}

@article{Orenstein2020,
  author = {Yaron Orenstein},
  title = {Reverse de Bruijn: Utilizing Reverse Peptide Synthesis to Cover All Amino Acid k-mers},
  journal = {Journal of Computational Biology},
  volume = {27},
  number = {3},
  pages = {376--385},
  year = {2020},
  doi = {10.1089/cmb.2019.0448},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 154-166, Springer, Cham.},
  proceedings_volume = {10812},
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  proceedings_doi = {10.1007/978-3-319-89929-9_10}
}

@inproceedings{Roch2018,
  author = {Sebastien Roch and Kun-Chieh Wang},
  title = {Circular Networks from Distorted Metrics},
  booktitle = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 167-176, Springer, Cham.},
  pages = {167--176},
  year = {2018},
  doi = {10.1007/978-3-319-89929-9_11},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 167-176, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {167--176},
  proceedings_doi = {10.1007/978-3-319-89929-9_11},
  preprint_id = {arXiv:1707.05722},
  preprint_doi = {10.48550/arXiv.1707.05722}
}

@article{Soulé2020,
  author = {Antoine Soulé, Jean-Marc Steyaert, Jérôme Waldispühl},
  title = {A Nested 2-Level Cross-Validation Ensemble Learning Pipeline Suggests a Negative Pressure Against Crosstalk snoRNA-mRNA Interactions in Saccharomyces cerevisiae},
  journal = {Journal of Computational Biology},
  volume = {27},
  number = {3},
  pages = {390--402},
  year = {2020},
  doi = {10.1089/cmb.2019.0401},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 177-193, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {177--193},
  proceedings_doi = {10.1007/978-3-319-89929-9_12},
  preprint_id = {bioRxiv 293555},
  preprint_doi = {10.1101/293555}
}

@article{Sverchkov2020,
  author = {Yuriy Sverchkov, Yi-Hsuan Ho, Audrey P. Gasch, Mark Craven},
  title = {Context-Specific Nested Effects Models},
  journal = {Journal of Computational Biology},
  volume = {27},
  number = {3},
  pages = {403--417},
  year = {2020},
  doi = {10.1089/cmb.2019.0459},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 194-210, Springer, Cham.},
  proceedings_volume = {10812},
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  proceedings_doi = {10.1007/978-3-319-89929-9_13}
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@inproceedings{Thankachan2018,
  author = {Sharma V. Thankachan, Chaitanya Aluru, Sriram P. Chockalingam, Srinivas Aluru},
  title = {Algorithmic Framework for Approximate Matching Under Bounded Edits with Applications to Sequence Analysis},
  booktitle = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 211-224, Springer, Cham.},
  pages = {211--224},
  year = {2018},
  doi = {10.1007/978-3-319-89929-9_14},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 211-224, Springer, Cham.},
  proceedings_volume = {10812},
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  proceedings_doi = {10.1007/978-3-319-89929-9_14}
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@inproceedings{Zhou2018,
  author = {Zhemin Zhou, Nina Luhmann, Nabil-Fareed Alikhan, Christopher Quince, Mark Achtman},
  title = {Accurate Reconstruction of Microbial Strains from Metagenomic Sequencing Using Representative Reference Genomes},
  booktitle = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 225-242, Springer, Cham.},
  pages = {225--242},
  year = {2018},
  doi = {10.1007/978-3-319-89929-9_15},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 225-242, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {225--242},
  proceedings_doi = {10.1007/978-3-319-89929-9_15},
  preprint_id = {bioRxiv 215707},
  preprint_doi = {10.1101/215707}
}

@article{Bansal2018,
  author = {Mehrdad Bakhtiari, Sharona Shleizer-Burko, Melissa Gymrek, Vikas Bansal and Vineet Bafna},
  title = {Targeted genotyping of variable number tandem repeats with adVNTR},
  journal = {Genome Research},
  volume = {28:1709-1719},
  year = {2018},
  doi = {10.1101/gr.235119.118},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 243-244, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {243--244},
  proceedings_doi = {10.1007/978-3-319-89929-9},
  preprint_id = {bioRxiv 221754},
  preprint_doi = {10.1101/221754}
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@article{Bepler2018,
  author = {Tristan Bepler, Andrew Morin, Micah Rapp, Julia Brasch, Lawrence Shapiro, Alex J. Noble, Bonnie Berger},
  title = {Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs},
  journal = {Nature Methods},
  volume = {16:1153–1160},
  year = {2018},
  doi = {10.1038/s41592-019-0575-8},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 245-247, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {245--247},
  proceedings_doi = {10.1007/978-3-319-89929-9},
  preprint_id = {arXiv:1803.08207},
  preprint_doi = {10.48550/arXiv.1803.08207}
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@article{Bonnet2020,
  author = {Édouard Bonnet, Paweł Rzążewski, Florian Sikora},
  title = {Designing RNA Secondary Structures Is Hard},
  journal = {Journal of Computational Biology},
  volume = {27},
  number = {3},
  pages = {302--316},
  year = {2020},
  doi = {10.1089/cmb.2019.0420},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 248-250, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {248--250},
  proceedings_doi = {10.1007/978-3-319-89929-9},
  preprint_id = {arXiv:1710.11513},
  preprint_doi = {10.48550/arXiv.1710.11513}
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@inproceedings{Cho2018,
  author = {Hyunghoon Cho, Bonnie Berger, Jian Peng},
  title = {Generalizable Visualization of Mega-Scale Single-Cell Data},
  booktitle = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 251-253, Springer, Cham.},
  pages = {251--253},
  year = {2018},
  doi = {10.1007/978-3-319-89929-9},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 251-253, Springer, Cham.},
  proceedings_volume = {10812},
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@article{Durif2019,
  author = {Ghislain Durif, Laurent Modolo, Jeff E Mold, Sophie Lambert-Lacroix, Franck Picard},
  title = {Probabilistic count matrix factorization for single cell expression data analysis},
  journal = {Bioinformatics},
  volume = {35},
  number = {20},
  pages = {4011--4019},
  year = {2019},
  doi = {10.1093/bioinformatics/btz177},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 254-255, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {254--255},
  proceedings_doi = {10.1007/978-3-319-89929-9},
  preprint_id = {bioRxiv 211938},
  preprint_doi = {10.1101/211938}
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@article{Will2019,
  author = {Stefan Hammer, Wei Wang, Sebastian Will and Yann Ponty},
  title = {Fixed-parameter tractable sampling for RNA design with multiple target structures},
  journal = {BMC Bioinformatics},
  volume = {20},
  number = {1},
  pages = {209},
  year = {2019},
  doi = {10.1186/s12859-019-2784-7},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 256-258, Springer, Cham.},
  proceedings_volume = {10812},
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  proceedings_doi = {10.1007/978-3-319-89929-9},
  preprint_id = {arXiv:1804.00841},
  preprint_doi = {10.48550/arXiv.1804.00841}
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@article{Huynh2019,
  author = {Linh Huynh and Fereydoun Hormozdiari},
  title = {TAD fusion score: discovery and ranking the contribution of deletions to genome structure},
  journal = {Genome Biology},
  volume = {20},
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  year = {2019},
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  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 259-260, Springer, Cham.},
  proceedings_volume = {10812},
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  preprint_id = {bioRxiv 279356},
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@article{Lin2019,
  author = {Mikhail Kolmogorov, Jeffrey Yuan, Yu Lin and Pavel A. Pevzner},
  title = {Assembly of long, error-prone reads using repeat graphs},
  journal = {Nature Biotechnology},
  volume = {37},
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  year = {2019},
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  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 261-262, Springer, Cham.},
  proceedings_volume = {10812},
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@article{Fan2019,
  author = {Jason Fan , Anthony Cannistra , Inbar Fried , Tim Lim , Thomas Schaffner , Mark Crovella , Benjamin Hescott , Mark D M Leiserson},
  title = {Functional protein representations from biological networks enable diverse cross-species inference},
  journal = {Nucleic Acids Research},
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  year = {2019},
  doi = {10.1093/nar/gkz132},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 263-265, Springer, Cham.},
  proceedings_volume = {10812},
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@inproceedings{Luo2018,
  author = {Yunan Luo, Jianzhu Ma, Yang Liu, Qing Ye, Trey Ideker, Jian Peng},
  title = {Deciphering Signaling Specificity with Deep Neural Networks},
  booktitle = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 266-268, Springer, Cham.},
  pages = {266--268},
  year = {2018},
  doi = {10.1007/978-3-319-89929-9},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 266-268, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {266--268},
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  preprint_id = {bioRxiv 288647},
  preprint_doi = {10.1101/288647}
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@article{Malikic2019,
  author = {Salem Malikic, Katharina Jahn, Jack Kuipers, S. Cenk Sahinalp & Niko Beerenwinkel},
  title = {Integrative inference of subclonal tumour evolution from single-cell and bulk sequencing data},
  journal = {Nature Communications},
  volume = {10},
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  year = {2019},
  doi = {10.1038/s41467-019-10737-5},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 269-270, Springer, Cham.},
  proceedings_volume = {10812},
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  preprint_id = {bioRxiv 234914},
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@article{Pandey2018,
  author = {Prashant Pandey, Fatemeh Almodaresi, Michael A Bender, Michael Ferdman, Rob Johnson, Rob Patro},
  title = {Mantis: A Fast, Small, and Exact Large-Scale Sequence-Search Index},
  journal = {Cell Systems},
  volume = {7},
  number = {2},
  pages = {201--207},
  year = {2018},
  doi = {10.1016/j.cels.2018.05.021},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 271-273, Springer, Cham.},
  proceedings_volume = {10812},
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  preprint_id = {bioRxiv 217372},
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@article{Rahmani2019,
  author = {Elior Rahmani, Regev Schweiger, Brooke Rhead, Lindsey A. Criswell, Lisa F. Barcellos, Eleazar Eskin, Saharon Rosset, Sriram Sankararaman & Eran Halperin},
  title = {Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology},
  journal = {Nature Communications},
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  year = {2019},
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  proceedings_volume = {10812},
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  preprint_id = {bioRxiv 437368},
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@article{Sarmashghi2019,
  author = {Shahab Sarmashghi, Kristine Bohmann, M. Thomas P. Gilbert, Vineet Bafna, Siavash Mirarab},
  title = {Skmer: assembly-free and alignment-free sample identification using genome skims},
  journal = {Genome Biology},
  volume = {20},
  number = {1},
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  year = {2019},
  doi = {10.1186/s13059-019-1632-4},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 276-277, Springer, Cham.},
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@article{Basso2019,
  author = {Rebecca Sarto Basso, Dorit S. Hochbaum, Fabio Vandin},
  title = {Efficient algorithms to discover alterations with complementary functional association in cancer},
  journal = {PLOS Computational Biology},
  volume = {15},
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  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 278-279, Springer, Cham.},
  proceedings_volume = {10812},
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@inproceedings{Shajii2018,
  author = {Ariya Shajii, Ibrahim Numanagić, Bonnie Berger},
  title = {Latent Variable Model for Aligning Barcoded Short-Reads Improves Downstream Analyses},
  booktitle = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 280-282, Springer, Cham.},
  pages = {280--282},
  year = {2018},
  doi = {10.1007/978-3-319-89929-9},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 280-282, Springer, Cham.},
  proceedings_volume = {10812},
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  proceedings_doi = {10.1007/978-3-319-89929-9},
  preprint_id = {bioRxiv 220236},
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@inproceedings{Silverbush2018,
  author = {Dana Silverbush, Simona Cristea, Gali Yanovich, Tamar Geiger, Niko Beerenwinkel, Roded Sharan},
  title = {ModulOmics: Integrating Multi-Omics Data to Identify Cancer Driver Modules.},
  booktitle = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 283-284, Springer, Cham.},
  pages = {283--284},
  year = {2018},
  doi = {10.1007/978-3-319-89929-9},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 283-284, Springer, Cham.},
  proceedings_volume = {10812},
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  preprint_id = {bioRxiv 288399},
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@article{Singer2018,
  author = {Jochen Singer, Jack Kuipers, Katharina Jahn, Niko Beerenwinkel},
  title = {Single-cell mutation identification via phylogenetic inference},
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  volume = {9: 5144},
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  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 285-286, Springer, Cham.},
  proceedings_volume = {10812},
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  proceedings_doi = {10.1007/978-3-319-89929-9},
  preprint_id = {bioRxiv 290908},
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}

@article{Swiderski,2018,
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  title = {AptaBlocks: Accelerating the Design of RNA-based Drug Delivery Systems},
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  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 287-288, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {287--288},
  proceedings_doi = {10.1007/978-3-319-89929-9},
  preprint_id = {bioRxiv 216465},
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}

@article{Wu2020,
  author = {Yue Wu, Eleazar Eskin, Sriram Sankararaman},
  title = {A Unifying Framework for Imputing Summary Statistics in Genome-Wide Association Studies},
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  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 289-290, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {289--290},
  proceedings_doi = {10.1007/978-3-319-89929-9},
  preprint_id = {bioRxiv 292664},
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}

@article{Yamada2020,
  author = {Naomi Yamada, Prashant Kumar Kuntala, B. Franklin Pugh, Shaun Mahony},
  title = {ChExMix: A Method for Identifying and Classifying Protein–DNA Interaction Subtypes},
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  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 291-292, Springer, Cham.},
  proceedings_volume = {10812},
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}

@article{Yang2018,
  author = {Yang Yang, Quanquan Gu, Yang Zhang, Takayo Sasaki, Julianna Crivello, Rachel J. O'Neill, David M. Gilbert, Jian Ma},
  title = {Continuous-Trait Probabilistic Model for Comparing Multi-species Functional Genomic Data},
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  proceedings_volume = {10812},
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  proceedings_doi = {10.1007/978-3-319-89929-9}
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@inproceedings{Zhou2018,
  author = {Tian-Ming Zhou, Sheng Wang, Jinbo Xu},
  title = {Deep Learning Reveals Many More Inter-protein Residue-Residue Contacts than Direct Coupling Analysis},
  booktitle = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 295-296, Springer, Cham.},
  pages = {295--296},
  year = {2018},
  doi = {10.1007/978-3-319-89929-9},
  proceedings_name = {Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science, vol 10812, pp 295-296, Springer, Cham.},
  proceedings_volume = {10812},
  proceedings_pages = {295--296},
  proceedings_doi = {10.1007/978-3-319-89929-9},
  preprint_id = {bioRxiv 240754},
  preprint_doi = {10.1101/240754}
}

