Alexander J. Hartemink | Scholars@Duke

Alexander J. Hartemink
Professor in the Department of Computer Science

Computational biology, machine learning, Bayesian statistics, systems biology, transcriptional regulation, genomics and epigenomics, graphical models, Bayesian networks, computational neurobiology, classification, feature selection

Current Appointments & Affiliations

Professor in the Department of Computer Science, Computer Science, Trinity College of Arts & Sciences 2013
Professor of Biology, Biology, Trinity College of Arts & Sciences 2013
Bass Fellow, Computer Science, Trinity College of Arts & Sciences 2014

Contact Information

308 Research Drive, LSRC D239, Durham, NC 27708-0129
Box 90129, Durham, NC 27708-0129
amink@cs.duke.edu (919) 660-6514
http://www.cs.duke.edu/~amink/

Background
Education, Training, & Certifications
- Ph.D., Massachusetts Institute of Technology 2001
- M.Phil., University of Oxford (United Kingdom) 1996
- B.S., Duke University 1994
Duke Appointment History
- Professor in the Department of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 2013 - 2016
- Director of the Computational Biology and Bioinformatics Program, Institutes and Centers, School of Medicine 2012 - 2015
- Investigator in the Institute for Genome Sciences & Policy, University Institutes and Centers, Institutes and Provost's Academic Units 2008 - 2014
- Associate Professor of Computer Science, Computer Science, Trinity College of Arts & Sciences 2008 - 2013
- Associate Professor in the Department of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 2010 - 2013
- Associate Professor of Biology, Biology, Trinity College of Arts & Sciences 2012 - 2013
- Assistant Professor of Computer Science, Computer Science, Trinity College of Arts & Sciences 2001 - 2008
Recognition
In the News
- FEB 22, 2016
  
  12 Duke Graduates Named Fulbright Scholars
- JAN 6, 2015
  
  Genomics Team Wins $5.9 Million Grant
- DEC 10, 2014
  
  Genes Tell Story of Birdsong and Human Speech
- MAR 24, 2014
  
  Duke Announces Reorganization of Genome Sciences
Awards & Honors
- Sloan Research Fellowship-Molecular Biology. Alfred P. Sloan Foundation. 2005
- Faculty Early Career Development (CAREER) Program. National Science Foundation. 2004
Expertise
Subject Headings
Global Scholarship
- Expertise
  - United Kingdom (Country)
- Teaching
  - Kenya (Country)
Research
Selected Grants
- IRES Track 1 IRTG Engaged in Dissecting and Reengineering the Regulatory Genome awarded by National Science Foundation 2019 - 2022
- Bioinformatics and Computational Biology Training Program awarded by National Institutes of Health 2005 - 2021
- Exploring the Role of Dynamic Chromatin Occupancy in Transcriptional Regulation - Non-competing renewal III awarded by National Institutes of Health 2016 - 2021
- Decoding and Reprogramming the Corticosteroid Transcriptional Regulatory Network awarded by National Institutes of Health 2015 - 2018
- CRCNS: Neural Flow Networks in Songbirds awarded by National Institutes of Health 2005 - 2012
- Identification and Characterization of Epigenetically Labile Genes awarded by National Institutes of Health 2006 - 2010
- High-performance Computing System for Bioinformatics awarded by National Institutes of Health 2009 - 2010
- CAREER: Computational Methods for Learning Dynamic Networks of Regulation and Control awarded by National Science Foundation 2004 - 2009
External Relationships
- Apostle, Inc.
Publications & Artistic Works
Selected Publications
- Books
  - Welch, J. D., A. Hartemink, and J. F. Prins. E pluribus unum: United states of single cells. Vol. 10229 LNCS, 2017.
- Academic Articles
  - McDowell, Ian C., Alejandro Barrera, Anthony M. D’Ippolito, Christopher M. Vockley, Linda K. Hong, Sarah M. Leichter, Luke C. Bartelt, et al. “Glucocorticoid receptor recruits to enhancers and drives activation by motif-directed binding.” Genome Res 28, no. 9 (September 2018): 1272–84. https://doi.org/10.1101/gr.233346.117.
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  - Welch, Joshua D., Alexander J. Hartemink, and Jan F. Prins. “MATCHER: manifold alignment reveals correspondence between single cell transcriptome and epigenome dynamics.” Genome Biology 18, no. 1 (July 24, 2017): 138. https://doi.org/10.1186/s13059-017-1269-0.
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  - Mayhew, Michael B., Edwin S. Iversen, and Alexander J. Hartemink. “Characterization of dependencies between growth and division in budding yeast.” Journal of the Royal Society, Interface 14, no. 127 (February 2017). https://doi.org/10.1098/rsif.2016.0993.
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  - Sparks, Erin E., Colleen Drapek, Allison Gaudinier, Song Li, Mitra Ansariola, Ning Shen, Jessica H. Hennacy, et al. “Establishment of Expression in the SHORTROOT-SCARECROW Transcriptional Cascade through Opposing Activities of Both Activators and Repressors.” Dev Cell 39, no. 5 (December 5, 2016): 585–96. https://doi.org/10.1016/j.devcel.2016.09.031.
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  - Welch, Joshua D., Alexander J. Hartemink, and Jan F. Prins. “SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data.” Genome Biology 17, no. 1 (May 23, 2016): 106. https://doi.org/10.1186/s13059-016-0975-3.
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  - Zhong, Jianling, Kaixuan Luo, Peter S. Winter, Gregory E. Crawford, Edwin S. Iversen, and Alexander J. Hartemink. “Mapping nucleosome positions using DNase-seq.” Genome Res 26, no. 3 (March 2016): 351–64. https://doi.org/10.1101/gr.195602.115.
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  - Zhang, Y., R. Henao, L. Carin, J. Zhong, and A. J. Hartemink. “Learning a hybrid architecture for sequence regression and annotation.” 30th Aaai Conference on Artificial Intelligence, Aaai 2016, January 1, 2016, 1415–21.
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  - Belsky, Jason A., Heather K. MacAlpine, Yoav Lubelsky, Alexander J. Hartemink, and David M. MacAlpine. “Genome-wide chromatin footprinting reveals changes in replication origin architecture induced by pre-RC assembly.” Genes Dev 29, no. 2 (January 15, 2015): 212–24. https://doi.org/10.1101/gad.247924.114.
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  - Pfenning, Andreas R., Erina Hara, Osceola Whitney, Miriam V. Rivas, Rui Wang, Petra L. Roulhac, Jason T. Howard, et al. “Convergent transcriptional specializations in the brains of humans and song-learning birds.” Science 346, no. 6215 (December 12, 2014): 1256846. https://doi.org/10.1126/science.1256846.
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  - Whitney, Osceola, Andreas R. Pfenning, Jason T. Howard, Charles A. Blatti, Fang Liu, James M. Ward, Rui Wang, et al. “Core and region-enriched networks of behaviorally regulated genes and the singing genome.” Science 346, no. 6215 (December 12, 2014): 1256780. https://doi.org/10.1126/science.1256780.
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  - Zhong, Jianling, Todd Wasson, and Alexander J. Hartemink. “Learning protein-DNA interaction landscapes by integrating experimental data through computational models.” Bioinformatics (Oxford, England) 30, no. 20 (October 2014): 2868–74. https://doi.org/10.1093/bioinformatics/btu408.
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  - Mordelet, Fantine, John Horton, Alexander J. Hartemink, Barbara E. Engelhardt, and Raluca Gordân. “Stability selection for regression-based models of transcription factor-DNA binding specificity.” Bioinformatics 29, no. 13 (July 1, 2013): i117–25. https://doi.org/10.1093/bioinformatics/btt221.
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  - Guo, Xin, Allister Bernard, David A. Orlando, Steven B. Haase, and Alexander J. Hartemink. “Branching process deconvolution algorithm reveals a detailed cell-cycle transcription program.” Proceedings of the National Academy of Sciences of the United States of America 110, no. 10 (March 2013): E968–77. https://doi.org/10.1073/pnas.1120991110.
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  - Perez-Pinera, Pablo, David G. Ousterout, Jonathan M. Brunger, Alicia M. Farin, Katherine A. Glass, Farshid Guilak, Gregory E. Crawford, Alexander J. Hartemink, and Charles A. Gersbach. “Synergistic and tunable human gene activation by combinations of synthetic transcription factors.” Nat Methods 10, no. 3 (March 2013): 239–42. https://doi.org/10.1038/nmeth.2361.
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  - Hartemink, A. J., M. Kellis, W. S. Noble, and Z. Weng. “Epigenomics.” Pac Symp Biocomput, 2013, 65–68.
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  - Luo, Kaixuan, and Alexander J. Hartemink. “Using DNase digestion data to accurately identify transcription factor binding sites.” Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, January 2013, 80–91.
  - Mayhew, M. B., and A. J. Hartemink. “Cell-cycle phenotyping with conditional random fields: A case study in Saccharomyces cerevisiae.” Proceedings International Symposium on Biomedical Imaging, January 1, 2013, 1062–65. https://doi.org/10.1109/ISBI.2013.6556661.
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  - Landt, Stephen G., Georgi K. Marinov, Anshul Kundaje, Pouya Kheradpour, Florencia Pauli, Serafim Batzoglou, Bradley E. Bernstein, et al. “ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia.” Genome Res 22, no. 9 (September 2012): 1813–31. https://doi.org/10.1101/gr.136184.111.
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  - Mayhew, M. B., X. Guo, S. B. Haase, and A. J. Hartemink. “Close encounters of the collaborative kind.” Computer 45, no. 3 (March 1, 2012): 24–30. https://doi.org/10.1109/MC.2012.85.
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  - Guo, Xin, Martha L. Bulyk, and Alexander J. Hartemink. “Intrinsic disorder within and flanking the DNA-binding domains of human transcription factors.” Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, January 2012, 104–15.
  - Meyer, Pablo, Leonidas G. Alexopoulos, Thomas Bonk, Andrea Califano, Carolyn R. Cho, Alberto de la Fuente, David de Graaf, et al. “Verification of systems biology research in the age of collaborative competition.” Nature Biotechnology 29, no. 9 (September 8, 2011): 811–15. https://doi.org/10.1038/nbt.1968.
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  - Mayhew, Michael B., Joshua W. Robinson, Boyoun Jung, Steven B. Haase, and Alexander J. Hartemink. “A generalized model for multi-marker analysis of cell cycle progression in synchrony experiments.” Bioinformatics (Oxford, England) 27, no. 13 (July 2011): i295–303. https://doi.org/10.1093/bioinformatics/btr244.
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  - Miller, Heather B., Timothy J. Robinson, Raluca Gordân, Alexander J. Hartemink, and Mariano A. Garcia-Blanco. “Identification of Tat-SF1 cellular targets by exon array analysis reveals dual roles in transcription and splicing.” Rna 17, no. 4 (April 2011): 665–74. https://doi.org/10.1261/rna.2462011.
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  - Robinson, J. W., and A. J. Hartemink. “Learning non-stationary dynamic bayesian networks.” Journal of Machine Learning Research 11 (December 1, 2010): 3647–80.
  - Gordân, Raluca, Leelavati Narlikar, and Alexander J. Hartemink. “Finding regulatory DNA motifs using alignment-free evolutionary conservation information.” Nucleic Acids Res 38, no. 6 (April 2010): e90. https://doi.org/10.1093/nar/gkp1166.
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  - MacAlpine, Heather K., Raluca Gordân, Sara K. Powell, Alexander J. Hartemink, and David M. MacAlpine. “Drosophila ORC localizes to open chromatin and marks sites of cohesin complex loading.” Genome Res 20, no. 2 (February 2010): 201–11. https://doi.org/10.1101/gr.097873.109.
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  - Gordân, R., L. Narlikar, and A. J. Hartemink. “Finding regulatory DNA motifs using alignment-free evolutionary conservation information.” Nucleic Acids Research 38, no. 6 (January 4, 2010). https://doi.org/10.1093/nar/gkp1166.
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  - Robinson, J. W., and A. J. Hartemink. “Non-stationary dynamic Bayesian networks.” Advances in Neural Information Processing Systems 21 Proceedings of the 2008 Conference, December 1, 2009, 1369–76.
  - Gordân, Raluca, Alexander J. Hartemink, and Martha L. Bulyk. “Distinguishing direct versus indirect transcription factor-DNA interactions.” Genome Res 19, no. 11 (November 2009): 2090–2100. https://doi.org/10.1101/gr.094144.109.
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  - Wasson, Todd, and Alexander J. Hartemink. “An ensemble model of competitive multi-factor binding of the genome.” Genome Research 19, no. 11 (November 2009): 2101–12. https://doi.org/10.1101/gr.093450.109.
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  - Guo, Xin, and Alexander J. Hartemink. “Domain-oriented edge-based alignment of protein interaction networks.” Bioinformatics (Oxford, England) 25, no. 12 (June 2009): i240–46. https://doi.org/10.1093/bioinformatics/btp202.
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  - Orlando, David A., Edwin S. Iversen, Alexander J. Hartemink, and Steven B. Haase. “A branching process model for flow cytometry and budding index measurements in cell synchrony experiments.” The Annals of Applied Statistics 3, no. 4 (January 2009): 1521–41. https://doi.org/10.1214/09-aoas264.
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  - Bulyk, M. L., A. J. Hartemink, E. Fraenkel, and Y. Mandel-Gutfreund. “Protein-nucleic acid interactions: Integrating structure, sequence, and function.” Pacific Symposium on Biocomputing 2008, Psb 2008, December 1, 2008, 438–40.
  - Gordân, R., L. Narlikar, and A. J. Hartemink. “A fast, alignment-free, conservation-based method for transcription factor binding site discovery.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4955 LNBI (July 21, 2008): 98–111. https://doi.org/10.1007/978-3-540-78839-3_9.
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  - Orlando, David A., Charles Y. Lin, Allister Bernard, Jean Y. Wang, Joshua E. S. Socolar, Edwin S. Iversen, Alexander J. Hartemink, and Steven B. Haase. “Global control of cell-cycle transcription by coupled CDK and network oscillators.” Nature 453, no. 7197 (June 2008): 944–47. https://doi.org/10.1038/nature06955.
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  - Gordân, Raluca, and Alexander J. Hartemink. “Using DNA duplex stability information for transcription factor binding site discovery.” Pac Symp Biocomput, 2008, 453–64.
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  - Luedi, Philippe P., Fred S. Dietrich, Jennifer R. Weidman, Jason M. Bosko, Randy L. Jirtle, and Alexander J. Hartemink. “Computational and experimental identification of novel human imprinted genes.” Genome Res 17, no. 12 (December 2007): 1723–30. https://doi.org/10.1101/gr.6584707.
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  - Narlikar, Leelavati, Raluca Gordân, and Alexander J. Hartemink. “A nucleosome-guided map of transcription factor binding sites in yeast.” Plos Comput Biol 3, no. 11 (November 2007): e215. https://doi.org/10.1371/journal.pcbi.0030215.
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  - Orlando, David A., Charles Y. Lin, Allister Bernard, Edwin S. Iversen, Alexander J. Hartemink, and Steven B. Haase. “A probabilistic model for cell cycle distributions in synchrony experiments.” Cell Cycle (Georgetown, Tex.) 6, no. 4 (February 12, 2007): 478–88. https://doi.org/10.4161/cc.6.4.3859.
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  - Bernard, A., D. S. Vaughn, and A. J. Hartemink. “Reconstructing the topology of protein complexes.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4453 LNBI (January 1, 2007): 32–46. https://doi.org/10.1007/978-3-540-71681-5_3.
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  - Narlikar, L., R. Gordân, and A. J. Hartemink. “Nucleosome occupancy information improves de novo motif discovery.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4453 LNBI (January 1, 2007): 107–21. https://doi.org/10.1007/978-3-540-71681-5_8.
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  - Smith, V Anne, Jing Yu, Tom V. Smulders, Alexander J. Hartemink, and Erich D. Jarvis. “Computational inference of neural information flow networks.” Plos Comput Biol 2, no. 11 (November 24, 2006): e161. https://doi.org/10.1371/journal.pcbi.0020161.
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  - Narlikar, Leelavati, Raluca Gordân, Uwe Ohler, and Alexander J. Hartemink. “Informative priors based on transcription factor structural class improve de novo motif discovery.” Bioinformatics 22, no. 14 (July 15, 2006): e384–92. https://doi.org/10.1093/bioinformatics/btl251.
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  - Narlikar, Leelavati, and Alexander J. Hartemink. “Sequence features of DNA binding sites reveal structural class of associated transcription factor.” Bioinformatics (Oxford, England) 22, no. 2 (January 2006): 157–63. https://doi.org/10.1093/bioinformatics/bti731.
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  - Pratapa, Pallavi N., Edward F. Patz, and Alexander J. Hartemink. “Finding diagnostic biomarkers in proteomic spectra.” Pac Symp Biocomput, 2006, 279–90.
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  - Krishnapuram, Balaji, Lawrence Carin, Mário A. T. Figueiredo, and Alexander J. Hartemink. “Sparse multinomial logistic regression: fast algorithms and generalization bounds.” Ieee Transactions on Pattern Analysis and Machine Intelligence 27, no. 6 (June 2005): 957–68. https://doi.org/10.1109/tpami.2005.127.
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  - Luedi, Philippe P., Alexander J. Hartemink, and Randy L. Jirtle. “Genome-wide prediction of imprinted murine genes.” Genome Research 15, no. 6 (June 2005): 875–84. https://doi.org/10.1101/gr.3303505.
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  - Hartemink, Alexander J. “Reverse engineering gene regulatory networks.” Nature Biotechnology 23, no. 5 (May 2005): 554–55. https://doi.org/10.1038/nbt0505-554.
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  - Yin, Peng, and Alexander J. Hartemink. “Theoretical and practical advances in genome halving.” Bioinformatics (Oxford, England) 21, no. 7 (April 2005): 869–79. https://doi.org/10.1093/bioinformatics/bti107.
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  - Bernard, Allister, and Alexander J. Hartemink. “Informative structure priors: joint learning of dynamic regulatory networks from multiple types of data.” Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, January 2005, 459–70.
  - Hartemink, Alexander J., and Eran Segal. “Joint learning from multiple types of genomic data.” Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, January 2005, 445–46.
  - Yu, Jing, V Anne Smith, Paul P. Wang, Alexander J. Hartemink, and Erich D. Jarvis. “Advances to Bayesian network inference for generating causal networks from observational biological data.” Bioinformatics 20, no. 18 (December 12, 2004): 3594–3603. https://doi.org/10.1093/bioinformatics/bth448.
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  - Krishnapuram, Balaji, Alexander J. Hartemink, Lawrence Carin, and Mário A. T. Figueiredo. “A Bayesian approach to joint feature selection and classifier design.” Ieee Transactions on Pattern Analysis and Machine Intelligence 26, no. 9 (September 2004): 1105–11. https://doi.org/10.1109/tpami.2004.55.
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  - Krishnapuram, Balaji, Lawrence Carin, and Alexander J. Hartemink. “Joint classifier and feature optimization for comprehensive cancer diagnosis using gene expression data.” Journal of Computational Biology : A Journal of Computational Molecular Cell Biology 11, no. 2–3 (January 2004): 227–42. https://doi.org/10.1089/1066527041410463.
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  - Liu, Q., B. Krishnapuram, P. Pratapa, X. Liao, A. Hartemink, and L. Carin. “Identification of differentially expressed proteins using MALDI-TOF mass spectra.” Conference Record of the Asilomar Conference on Signals, Systems and Computers 2 (December 1, 2003): 1323–27.
  - Krishnapuram, B., L. Carin, and A. J. Hartemink. “Joint classifier and feature optimization for cancer diagnosis using gene expression data.” Proceedings of the Annual International Conference on Computational Molecular Biology, Recomb, January 1, 2003, 167–75. https://doi.org/10.1145/640075.640097.
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  - Smith, V Anne, Erich D. Jarvis, and Alexander J. Hartemink. “Influence of network topology and data collection on network inference.” Pac Symp Biocomput, 2003, 164–75.
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  - Jarvis, E. D., V. A. Smith, K. Wada, M. V. Rivas, M. McElroy, T. V. Smulders, P. Carninci, et al. “A framework for integrating the songbird brain.” J Comp Physiol a Neuroethol Sens Neural Behav Physiol 188, no. 11–12 (December 2002): 961–80. https://doi.org/10.1007/s00359-002-0358-y.
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  - Hartemink, A. J., D. K. Gifford, T. S. Jaakkola, and R. A. Young. “Bayesian methods for elucidating genetic regulatory networks.” Ieee Intelligent Systems and Their Applications 17, no. 2 (March 1, 2002): 37–43. https://doi.org/10.1109/5254.999218.
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  - Hartemink, A. J., D. K. Gifford, T. S. Jaakkola, and R. A. Young. “Bayesian Methods for Elucidating Genetic Regulatory Networks.” Ieee Intelligent Systems 17, no. 2 (January 1, 2002): 37–43. https://doi.org/10.1109/MIS.2002.999218.
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  - Hartemink, Alexander J., David K. Gifford, Tommi S. Jaakkola, and Richard A. Young. “Combining location and expression data for principled discovery of genetic regulatory network models.” Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, January 2002, 437–49.
  - Smith, V Anne, Erich D. Jarvis, and Alexander J. Hartemink. “Evaluating functional network inference using simulations of complex biological systems.” Bioinformatics 18 Suppl 1 (2002): S216–24. https://doi.org/10.1093/bioinformatics/18.suppl_1.s216.
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  - Hartemink, A. J., D. K. Gifford, T. S. Jaakkola, and R. A. Young. “Maximum likelihood estimation of optimal scaling factors for expression array normalization.” Proceedings of Spie the International Society for Optical Engineering 4266 (January 1, 2001): 132–40. https://doi.org/10.1117/12.427981.
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  - Hartemink, A. J., D. K. Gifford, T. S. Jaakkola, and R. A. Young. “Using graphical models and genomic expression data to statistically validate models of genetic regulatory networks.” Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, January 2001, 422–33. https://doi.org/10.1142/9789814447362_0042.
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  - Hartemink, A. J., D. K. Gifford, and J. Khodor. “Automated constraint-based nucleotide sequence selection for DNA computation.” Bio Systems 52, no. 1–3 (October 1999): 227–35. https://doi.org/10.1016/s0303-2647(99)00050-7.
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- Conference Papers
  - Mitra, S., J. Zhong, D. M. MacAlpine, and A. J. Hartemink. “Robocop: Multivariate state space model integrating epigenomic accessibility data to elucidate genome-wide chromatin occupancy.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12074 LNBI:136–51, 2020. https://doi.org/10.1007/978-3-030-45257-5_9.
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  - Zhong, J., T. Wasson, and A. J. Hartemink. “Learning protein-DNA interaction landscapes by integrating experimental data through computational models.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8394 LNBI:433–47, 2014. https://doi.org/10.1007/978-3-319-05269-4_34.
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  - Perez-Pinera, Pablo, David G. Ousterout, Jonathan M. Brunger, Alicia M. Farin, Katherine A. Glass, Farshid Guilak, Gregory E. Crawford, Alexander J. Hartemink, and Charles A. Gersbach. “Synergistic and Tunable Gene Activation by Combinations of Synthetic Transcription Factors.” In Molecular Therapy, 21:S93–S93. NATURE PUBLISHING GROUP, 2013.
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  - Hartemink, A. J., M. Kellis, W. S. Noble, and Z. Weng. “Epigenomics.” In Pacific Symposium on Biocomputing, 2013.
  - Hartemink, Alexander J., Manolis Kellis, William Stafford Noble, and Zhiping Weng. “Session Introduction.” In Pacific Symposium on Biocomputing, edited by Russ B. Altman, A Keith Dunker, Lawrence Hunter, Tiffany Murray, and Teri E. Klein, 65–68. World Scientific Publishing, 2013.
  - Gordân, Raluca, Alexander J. Hartemink, and Martha L. Bulyk. “Distinguishing Direct versus Indirect Transcription Factor-DNA Interactions.” In Recomb, edited by Bonnie Berger, 6044:574–574. Springer, 2010.
  - Bulyk, Martha L., Ernest Fraenkel, Alexander J. Hartemink, and Yael Mandel-Gutfreund. “Session Introduction.” In Pacific Symposium on Biocomputing, edited by Russ B. Altman, A Keith Dunker, Lawrence Hunter, Tiffany Murray, and Teri E. Klein, 438–40. World Scientific, 2008.
  - Bulyk, M. L., A. J. Hartemink, E. Fraenkel, and G. Stormo. “DNA-protein interactions: Integrating structure, sequence, and function.” In Pacific Symposium on Biocomputing 2007, Psb 2007, 470–71, 2007.
  - Bulyk, Martha L., Alexander J. Hartemink, Ernest Fraenkel, and Gary D. Stormo. “Session Introduction.” In Pacific Symposium on Biocomputing, edited by Russ B. Altman, A Keith Dunker, Lawrence Hunter, Tiffany Murray, and Teri E. Klein, 470–71. World Scientific, 2007.
  - Hartemink, Alexander J., and Eran Segal. “Session Introduction: Joint Learning from Multiple Types of Genomic Data.” In Pacific Symposium on Biocomputing, edited by Russ B. Altman, Tiffany A. Jung, Teri E. Klein, A Keith Dunker, and Lawrence Hunter. World Scientific, 2005.
  - Krishnapuram, B., D. Williams, Y. Xue, A. Hartemink, L. Carin, and M. A. T. Figueiredo. “On semi-supervised classification.” In Advances in Neural Information Processing Systems, 2005.
  - Hartemink, Alexander J., and Eran Segal. “Session Introduction.” In Pacific Symposium on Biocomputing, edited by Russ B. Altman, A Keith Dunker, Lawrence Hunter, Tiffany A. Jung, and Teri E. Klein, 262–63. World Scientific, 2004.
  - Karp, Peter D., Eric P. Neumann, Alexander J. Hartemink, and Pedro Romero. “Genome, Pathway, and Interaction Bioinformatics - Session Introduction.” In Pacific Symposium on Biocomputing, edited by Russ B. Altman, A Keith Dunker, Lawrence Hunter, and Teri E. Klein, 101–3, 2003.
  - Hartemink, Alexander J., Tarjei S. Mikkelsen, and David K. Gifford. “Simulating biological reactions: A modular approach.” In Dna Based Computers, edited by Erik Winfree and David K. Gifford, 54:111–22. DIMACS/AMS, 1999.
  - Schechter, S., T. Parnell, and A. Hartemink. “Anonymous authentication of membership in dynamic groups.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1648:184–95, 1999. https://doi.org/10.1007/3-540-48390-x_14.
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  - Hartemink, Alexander J., and David K. Gifford. “Thermodynamic simulation of deoxyoligonucleotide hybridization for DNA computation.” In Dna Based Computers, edited by Harvey Rubin and David Harlan Wood, 48:25–38. DIMACS/AMS, 1997.
- Datasets
  - Mitra, Sneha, David MacAlpine, Jianling Zhong, and Alexander Hartemink. “Data from: RoboCOP: Multivariate state space model integrating epigenomic accessibility data to elucidate genome-wide chromatin occupancy,” January 24, 2020. https://doi.org/10.7924/r4hx1b43s.
    Data Access
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