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ORCIDCarl Kingsford
Carleton Kingsford
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2024
[j57]Yutong Qiu, Yihang Shen, Carl Kingsford:
Revisiting the complexity of and algorithms for the graph traversal edit distance and its variants. Algorithms Mol. Biol. 19(1): 17 (2024)- [j56]Maria-Florina Balcan, Dan F. DeBlasio, Travis Dick, Carl Kingsford, Tuomas Sandholm, Ellen Vitercik:
How Much Data Is Sufficient to Learn High-Performing Algorithms? J. ACM 71(5): 32:1-32:58 (2024) - [j55]Guillaume Marçais
, Dan F. DeBlasio, Carl Kingsford:
Sketching Methods with Small Window Guarantee Using Minimum Decycling Sets. J. Comput. Biol. 31(7): 597-615 (2024) - [c42]Minh Hoang, Carl Kingsford:
Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation. ICLR 2024 - [c41]Yihang Shen, Lingge Yu, Yutong Qiu, Tianyu Zhang, Carl Kingsford:
Graph-Based Genome Inference from Hi-C Data. RECOMB 2024: 115-130 - [c40]C. S. Elder, Minh Hoang, Mohsen Ferdosi, Carl Kingsford:
A Scalable Optimization Algorithm for Solving the Beltway and Turnpike Problems with Uncertain Measurements. RECOMB 2024: 201-216 - 2023
- [j54]Hongyu Zheng, Guillaume Marçais, Carl Kingsford:
Creating and Using Minimizer Sketches in Computational Genomics. J. Comput. Biol. 30(12): 1251-1276 (2023) - [c39]Yihang Shen, Carl Kingsford:
Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection. AutoML 2023: 15/1-27 - [c38]Yutong Qiu, Yihang Shen, Carl Kingsford:
Revisiting the Complexity of and Algorithms for the Graph Traversal Edit Distance and Its Variants. WABI 2023: 11:1-11:22 - [c37]Mohsen Ferdosi, Yuejun Ge, Carl Kingsford:
Reinforcement Learning for Robotic Liquid Handler Planning. WABI 2023: 23:1-23:16 - [i9]Yutong Qiu, Yihang Shen, Carl Kingsford:
Revisiting the Complexity of and Algorithms for the Graph Traversal Edit Distance and Its Variants. CoRR abs/2305.10577 (2023) - [i8]Guillaume Marçais, Dan F. DeBlasio, Carl Kingsford:
Sketching methods with small window guarantee using minimum decycling sets. CoRR abs/2311.03592 (2023) - 2022
- [j53]Hongyu Zheng, Cong Ma, Carl Kingsford:
Deriving Ranges of Optimal Estimated Transcript Expression due to Nonidentifiability. J. Comput. Biol. 29(2): 121-139 (2022) - [j52]Minh Hoang, Hongyu Zheng, Carl Kingsford:
Differentiable Learning of Sequence-Specific Minimizer Schemes with DeepMinimizer. J. Comput. Biol. 29(12): 1288-1304 (2022) - [c36]Minh Hoang, Hongyu Zheng, Carl Kingsford:
DeepMinimizer: A Differentiable Framework for Optimizing Sequence-Specific Minimizer Schemes. RECOMB 2022: 52-69 - 2021
- [j51]Cong Ma, Hongyu Zheng, Carl Kingsford:
Exact transcript quantification over splice graphs. Algorithms Mol. Biol. 16(1): 5 (2021) - [j50]Vaibhav Rajan, Ziqi Zhang, Carl Kingsford, Xiuwei Zhang:
Maximum likelihood reconstruction of ancestral networks by integer linear programming. Bioinform. 37(8): 1083-1092 (2021) - [j49]Hongyu Zheng, Carl Kingsford, Guillaume Marçais:
Sequence-specific minimizers via polar sets. Bioinform. 37(Supplement): 187-195 (2021) - [j48]Yutong Qiu, Carl Kingsford:
Constructing small genome graphs via string compression. Bioinform. 37(Supplement): 205-213 (2021) - [j47]Laura H. Tung, Carl Kingsford:
Practical selection of representative sets of RNA-seq samples using a hierarchical approach. Bioinform. 37(Supplement): 334-341 (2021) - [j46]Trevor S. Frisby, Shawn J. Baker, Guillaume Marçais, Quang Minh Hoang, Carl Kingsford, Christopher J. Langmead:
Harvestman: a framework for hierarchical feature learning and selection from whole genome sequencing data. BMC Bioinform. 22(1): 174 (2021) - [j45]Hongyu Zheng, Carl Kingsford, Guillaume Marçais:
Lower Density Selection Schemes via Small Universal Hitting Sets with Short Remaining Path Length. J. Comput. Biol. 28(4): 395-409 (2021) - [c35]Maria-Florina Balcan, Dan F. DeBlasio, Travis Dick, Carl Kingsford, Tuomas Sandholm, Ellen Vitercik:
How much data is sufficient to learn high-performing algorithms? generalization guarantees for data-driven algorithm design. STOC 2021: 919-932 - [i7]Yihang Shen, Carl Kingsford:
Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection. CoRR abs/2109.09264 (2021) - 2020
- [j44]Yutong Qiu, Cong Ma, Han Xie, Carl Kingsford:
Detecting transcriptomic structural variants in heterogeneous contexts via the Multiple Compatible Arrangements Problem. Algorithms Mol. Biol. 15(1): 9 (2020) - [j43]Hongyi Xin, Mingfu Shao, Carl Kingsford:
Context-aware seeds for read mapping. Algorithms Mol. Biol. 15(1): 10 (2020) - [j42]Hongyu Zheng, Carl Kingsford, Guillaume Marçais:
Improved design and analysis of practical minimizers. Bioinform. 36(Supplement-1): i119-i127 (2020) - [j41]Dan F. DeBlasio, Kwanho Kim, Carl Kingsford:
More Accurate Transcript Assembly via Parameter Advising. J. Comput. Biol. 27(8): 1181-1189 (2020) - [c34]Minh Hoang, Carleton Kingsford:
Optimizing Dynamic Structures with Bayesian Generative Search. ICML 2020: 4271-4281 - [c33]Hongyu Zheng, Carl Kingsford, Guillaume Marçais:
Lower Density Selection Schemes via Small Universal Hitting Sets with Short Remaining Path Length. RECOMB 2020: 202-217 - [c32]Cong Ma, Hongyu Zheng, Carl Kingsford:
Exact Transcript Quantification Over Splice Graphs. WABI 2020: 12:1-12:18 - [e1]Carl Kingsford, Nadia Pisanti:
20th International Workshop on Algorithms in Bioinformatics, WABI 2020, September 7-9, 2020, Pisa, Italy (Virtual Conference). LIPIcs 172, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2020, ISBN 978-3-95977-161-0 [contents] - [i6]Hongyu Zheng, Carl Kingsford, Guillaume Marçais:
Lower density selection schemes via small universal hitting sets with short remaining path length. CoRR abs/2001.06550 (2020)
2010 – 2019
- 2019
- [j40]Emre Sefer, Carl Kingsford:
Semi-nonparametric modeling of topological domain formation from epigenetic data. Algorithms Mol. Biol. 14(1): 4:1-4:11 (2019) - [j39]Guillaume Marçais, Dan F. DeBlasio, Prashant Pandey, Carl Kingsford:
Locality-sensitive hashing for the edit distance. Bioinform. 35(14): i127-i135 (2019) - [j38]Michael P. Snyder, Shin Lin, Amanda Posgai, Mark Atkinson, Aviv Regev, Jennifer Rood, Orit Rozenblatt-Rosen, Leslie Gaffney, Anna Hupalowska, Rahul Satija, Nils Gehlenborg, Jay Shendure, Julia Laskin, Pehr Harbury, Nicholas A. Nystrom, Jonathan C. Silverstein, Ziv Bar-Joseph, Kun Zhang, Katy Börner, Yiing Lin, Richard Conroy, Dena Procaccini, Ananda L. Roy, Ajay Pillai, Marishka Brown, Zorina S. Galis, Long Cai, Cole Trapnell, Dana Jackson, Garry P. Nolan, William James Greenleaf, Sylvia K. Plevritis, Sara Ahadi, Stephanie A. Nevins, Hayan Lee, Christian Martijn Schuerch, Sarah Black, Vishal Gautham Venkataraaman, Ed Esplin, Aaron Horning, Amir Bahmani, Xin Sun, Sanjay Jain, James S. Hagood, Gloria Pryhuber, Peter V. Kharchenko, Bernd Bodenmiller, Todd Brusko, Michael Clare-Salzler, Harry Nick, Kevin Otto, Clive Wasserfall, Marda Jorgensen, Maigan Brusko, Sergio Maffioletti, Richard M. Caprioli, Jeffrey M. Spraggins, Danielle Gutierrez, Nathan Heath Patterson, Elizabeth K. Neumann, Raymond Harris, Mark P. de Caestecker, Agnes B. Fogo, Raf Van de Plas, Ken Lau, Guo-Cheng Yuan, Qian Zhu, Ruben Dries, Peng Yin, Sinem K. Saka, Jocelyn Y. Kishi, Yu Wang, Isabel Goldaracena, Dong Hye Ye, Kristin E. Burnum-Johnson, Paul D. Piehowski, Charles Ansong, Ying Zhu, Tushar Desai, Jay Mulye, Peter Chou, Monica Nagendran, Sarah A. Teichmann, Benedict Paten, Robert F. Murphy, Jian Ma, Vladimir Yu. Kiselev, Carl Kingsford, Allyson Ricarte, Maria Keays, Sushma Anand Akoju, Matthew Ruffalo, Margaret Vella, Chuck McCallum, Leonard E. Cross, Samuel H. Friedman, Randy W. Heiland, Bruce William Herr II, Paul Macklin, Ellen M. Quardokus, Lisel Record, James P. Sluka, Griffin M. Weber, Philip D. Blood, Alexander Ropelewski, William Shirey, Robin M. Scibek, Paula M. Mabee, W. Christopher Lenhardt, Kimberly Robasky, Stavros Michailidis, John C. Marioni, Andrew Butler, Tim Stuart, Eyal Fisher, Shila Ghazanfar, Gökcen Eraslan, Tommaso Biancalani, Eeshit D. Vaishnav, Pothur Srinivas, Aaron Pawlyk, Salvatore Sechi, Elizabeth L. Wilder, James Anderson:
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. Nat. 574(7777): 187-192 (2019) - [j37]Mingfu Shao, Carl Kingsford:
Theory and A Heuristic for the Minimum Path Flow Decomposition Problem. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 658-670 (2019) - [c31]Dan F. DeBlasio, Fiyinfoluwa Gbosibo, Carl Kingsford, Guillaume Marçais:
Practical Universal k-mer Sets for Minimizer Schemes. BCB 2019: 167-176 - [c30]Quang Minh Hoang, Trong Nghia Hoang, Bryan Kian Hsiang Low, Carl Kingsford:
Collective Model Fusion for Multiple Black-Box Experts. ICML 2019: 2742-2750 - [c29]Hongyi Xin, Mingfu Shao, Carl Kingsford:
Context-Aware Seeds for Read Mapping. WABI 2019: 15:1-15:13 - [c28]Yutong Qiu, Cong Ma, Han Xie, Carl Kingsford:
Detecting Transcriptomic Structural Variants in Heterogeneous Contexts via the Multiple Compatible Arrangements Problem. WABI 2019: 18:1-18:19 - [c27]Natalie Sauerwald, Yihang Shen, Carl Kingsford:
Topological Data Analysis Reveals Principles of Chromosome Structure in Cellular Differentiation. WABI 2019: 23:1-23:16 - [i5]Maria-Florina Balcan, Dan F. DeBlasio, Travis Dick, Carl Kingsford, Tuomas Sandholm, Ellen Vitercik:
How much data is sufficient to learn high-performing algorithms? CoRR abs/1908.02894 (2019) - 2018
- [j36]Guillaume Marçais, Dan F. DeBlasio, Carl Kingsford:
Asymptotically optimal minimizers schemes. Bioinform. 34(13): i13-i22 (2018) - [j35]Natalie Sauerwald, Carl Kingsford:
Quantifying the similarity of topological domains across normal and cancer human cell types. Bioinform. 34(13): i475-i483 (2018) - [j34]Brad Solomon, Carl Kingsford:
Improved Search of Large Transcriptomic Sequencing Databases Using Split Sequence Bloom Trees. J. Comput. Biol. 25(7): 755-765 (2018) - 2017
- [j33]Guillaume Marçais, David Pellow, Daniel Bork, Yaron Orenstein, Ron Shamir, Carl Kingsford:
Improving the performance of minimizers and winnowing schemes. Bioinform. 33(14): i110-i117 (2017) - [j32]Hao Wang, Joel McManus, Carl Kingsford:
Accurate Recovery of Ribosome Positions Reveals Slow Translation of Wobble-Pairing Codons in Yeast. J. Comput. Biol. 24(6): 486-500 (2017) - [j31]David Pellow, Darya Filippova, Carl Kingsford:
Improving Bloom Filter Performance on Sequence Data Using k-mer Bloom Filters. J. Comput. Biol. 24(6): 547-557 (2017) - [j30]Yaron Orenstein, David Pellow, Guillaume Marçais, Ron Shamir, Carl Kingsford:
Designing small universal k-mer hitting sets for improved analysis of high-throughput sequencing. PLoS Comput. Biol. 13(10) (2017) - [c26]Brad Solomon, Carl Kingsford:
Improved Search of Large Transcriptomic Sequencing Databases Using Split Sequence Bloom Trees. RECOMB 2017: 257-271 - 2016
- [j29]Hongyi Xin, Sunny Nahar, Richard L. Zhu, John Emmons, Gennady Pekhimenko, Carl Kingsford, Can Alkan, Onur Mutlu:
Optimal seed solver: optimizing seed selection in read mapping. Bioinform. 32(11): 1632-1642 (2016) - [j28]Hao Wang, Joel McManus, Carl Kingsford:
Isoform-level ribosome occupancy estimation guided by transcript abundance with Ribomap. Bioinform. 32(12): 1880-1882 (2016) - [j27]Rob Patro, Raquel Norel, Robert J. Prill, Julio Saez-Rodriguez, Peter Lorenz, Felix Steinbeck, Bjoern Ziems, Mitja Lustrek, Nicola Barbarini, Alessandra Tiengo, Riccardo Bellazzi, Hans-Jürgen Thiesen, Gustavo Stolovitzky, Carl Kingsford:
A computational method for designing diverse linear epitopes including citrullinated peptides with desired binding affinities to intravenous immunoglobulin. BMC Bioinform. 17: 155 (2016) - [j26]Carl Kingsford:
Teaching Computation to Biologists. Comput. Sci. Eng. 18(1): 4-5 (2016) - [j25]Emre Sefer, Geet Duggal, Carl Kingsford:
Deconvolution of Ensemble Chromatin Interaction Data Reveals the Latent Mixing Structures in Cell Subpopulations. J. Comput. Biol. 23(6): 425-438 (2016) - [j24]Emre Sefer, Carl Kingsford:
Diffusion archeology for diffusion progression history reconstruction. Knowl. Inf. Syst. 49(2): 403-427 (2016) - [c25]Farhad Hormozdiari, Fereydoun Hormozdiari, Carl Kingsford, Paul Medvedev, Fabio Vandin:
The Second Decade of the International Conference on Research in Computational Molecular Biology (RECOMB). RECOMB 2016: 3-16 - [c24]Hao Wang, Joel McManus, Carl Kingsford:
Accurate Recovery of Ribosome Positions Reveals Slow Translation of Wobble-Pairing Codons in Yeast. RECOMB 2016: 37-52 - [c23]David Pellow, Darya Filippova, Carl Kingsford:
Improving Bloom Filter Performance on Sequence Data Using k -mer Bloom Filters. RECOMB 2016: 137-151 - [c22]Yaron Orenstein, David Pellow, Guillaume Marçais, Ron Shamir, Carl Kingsford:
Compact Universal k-mer Hitting Sets. WABI 2016: 257-268 - [i4]Nitish Gupta, Komal Sanjeev, Tim Wall, Carl Kingsford, Rob Patro:
Efficient Index Maintenance Under Dynamic Genome Modification. CoRR abs/1604.03132 (2016) - 2015
- [j23]Hongyi Xin, John Greth, John Emmons, Gennady Pekhimenko, Carl Kingsford, Can Alkan, Onur Mutlu:
Shifted Hamming distance: a fast and accurate SIMD-friendly filter to accelerate alignment verification in read mapping. Bioinform. 31(10): 1553-1560 (2015) - [j22]Carl Kingsford, Rob Patro:
Reference-based compression of short-read sequences using path encoding. Bioinform. 31(12): 1920-1928 (2015) - [j21]Rob Patro, Carl Kingsford:
Data-dependent bucketing improves reference-free compression of sequencing reads. Bioinform. 31(17): 2770-2777 (2015) - [c21]Darya Filippova, Carl Kingsford:
Rapid, separable compression enables fast analyses of sequence alignments. BCB 2015: 194-201 - [c20]Emre Sefer, Carl Kingsford:
Convex Risk Minimization to Infer Networks from probabilistic diffusion data at multiple scales. ICDE 2015: 663-674 - [c19]Emre Sefer, Geet Duggal, Carl Kingsford:
Deconvolution of Ensemble Chromatin Interaction Data Reveals the Latent Mixing Structures in Cell Subpopulations. RECOMB 2015: 293-308 - [c18]Emre Sefer, Carl Kingsford:
Semi-nonparametric Modeling of Topological Domain Formation from Epigenetic Data. WABI 2015: 148-161 - [i3]Hongyi Xin, Richard L. Zhu, Sunny Nahar, John Emmons, Gennady Pekhimenko, Carl Kingsford, Can Alkan, Onur Mutlu:
Optimal Seed Solver: Optimizing Seed Selection in Read Mapping. CoRR abs/1506.08235 (2015) - 2014
- [j20]Darya Filippova, Rob Patro, Geet Duggal, Carl Kingsford:
Identification of alternative topological domains in chromatin. Algorithms Mol. Biol. 9: 14 (2014) - [c17]Emre Sefer, Carl Kingsford:
Diffusion Archaeology for Diffusion Progression History Reconstruction. ICDM 2014: 530-539 - 2013
- [j19]Geet Duggal, Rob Patro, Emre Sefer, Hao Wang, Darya Filippova, Samir Khuller, Carl Kingsford:
Resolving spatial inconsistencies in chromosome conformation measurements. Algorithms Mol. Biol. 8: 8 (2013) - [j18]Rob Patro, Carl Kingsford:
Predicting protein interactions via parsimonious network history inference. Bioinform. 29(13): 237-246 (2013) - [c16]Hao Wang, Geet Duggal, Rob Patro, Michelle Girvan, Sridhar Hannenhalli, Carl Kingsford:
Topological properties of chromosome conformation graphs reflect spatial proximities within chromatin. BCB 2013: 306 - [c15]Darya Filippova, Rob Patro, Geet Duggal, Carl Kingsford:
Multiscale Identification of Topological Domains in Chromatin. WABI 2013: 300-312 - [i2]Rob Patro, Stephen M. Mount, Carl Kingsford:
Sailfish: Alignment-free Isoform Quantification from RNA-seq Reads using Lightweight Algorithms. CoRR abs/1308.3700 (2013) - 2012
- [j17]Rob Patro, Emre Sefer, Justin Malin, Guillaume Marçais, Saket Navlakha, Carl Kingsford:
Parsimonious reconstruction of network evolution. Algorithms Mol. Biol. 7: 25 (2012) - [j16]Rob Patro, Carl Kingsford:
Global network alignment using multiscale spectral signatures. Bioinform. 28(23): 3105-3114 (2012) - [j15]Geet Duggal, Carl Kingsford:
Graph rigidity reveals well-constrained regions of chromosome conformation embeddings. BMC Bioinform. 13: 241 (2012) - [j14]Darya Filippova, Aashish Gadani, Carl Kingsford:
Coral: an integrated suite of visualizations for comparing clusterings. BMC Bioinform. 13: 276 (2012) - [c14]Rob Patro, Geet Duggal, Emre Sefer, Hao Wang, Darya Filippova, Carl Kingsford:
The missing models: a data-driven approach for learning how networks grow. KDD 2012: 42-50 - [c13]Darya Filippova, Michael Fitzgerald, Carl Kingsford, Fernando Benadon:
Dynamic Exploration of Recording Sessions between Jazz Musicians over Time. SocialCom/PASSAT 2012: 368-376 - [c12]Geet Duggal, Rob Patro, Emre Sefer, Hao Wang, Darya Filippova, Samir Khuller, Carl Kingsford:
Resolving Spatial Inconsistencies in Chromosome Conformation Data. WABI 2012: 288-300 - 2011
- [j13]Guillaume Marçais, Carl Kingsford:
A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinform. 27(6): 764-770 (2011) - [j12]Joshua L. Wetzel, Carl Kingsford, Mihai Pop:
Assessing the benefits of using mate-pairs to resolve repeats in de novo short-read prokaryotic assemblies. BMC Bioinform. 12: 95 (2011) - [j11]David R. Kelley, Carl Kingsford:
Extracting Between-Pathway Models from E-MAP Interactions Using Expected Graph Compression. J. Comput. Biol. 18(3): 379-390 (2011) - [j10]Carl Kingsford, Elena Zaslavsky, Mona Singh:
A cost-aggregating integer linear program for motif finding. J. Discrete Algorithms 9(4): 326-334 (2011) - [j9]Saket Navlakha, Carl Kingsford:
Network Archaeology: Uncovering Ancient Networks from Present-Day Interactions. PLoS Comput. Biol. 7(4) (2011) - [j8]Carl Kingsford:
Review of Complex social networks by Fernando Vega-Redondo. SIGACT News 42(1): 29-31 (2011) - [c11]Emre Sefer, Carl Kingsford:
Metric Labeling and Semi-metric Embedding for Protein Annotation Prediction. RECOMB 2011: 392-407 - [c10]Rob Patro, Emre Sefer, Justin Malin, Guillaume Marçais, Saket Navlakha, Carl Kingsford:
Parsimonious Reconstruction of Network Evolution. WABI 2011: 237-249 - 2010
- [j7]Saket Navlakha, Carl Kingsford:
The power of protein interaction networks for associating genes with diseases. Bioinform. 26(8): 1057-1063 (2010) - [j6]Carl Kingsford, Michael C. Schatz, Mihai Pop:
Assembly complexity of prokaryotic genomes using short reads. BMC Bioinform. 11: 21 (2010) - [j5]James Robert White, Saket Navlakha, Niranjan Nagarajan, Mohammadreza Ghodsi, Carl Kingsford, Mihai Pop:
Alignment and clustering of phylogenetic markers - implications for microbial diversity studies. BMC Bioinform. 11: 152 (2010) - [j4]Saket Navlakha, James Robert White, Niranjan Nagarajan, Mihai Pop, Carl Kingsford:
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information. J. Comput. Biol. 17(3): 503-516 (2010) - [c9]Grecia Lapizco-Encinas, Carl Kingsford, James A. Reggia:
Particle Swarm Optimization for multimodal combinatorial problems and its application to protein design. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c8]Saket Navlakha, Carl Kingsford:
Exploring Biological Network Dynamics with Ensembles of Graph Partitions. Pacific Symposium on Biocomputing 2010: 166-177 - [c7]David R. Kelley, Carl Kingsford:
Extracting Between-Pathway Models from E-MAP Interactions Using Expected Graph Compression. RECOMB 2010: 248-262 - [i1]Saket Navlakha, Carl Kingsford:
Network Archaeology: Uncovering Ancient Networks from Present-day Interactions. CoRR abs/1008.5166 (2010)
2000 – 2009
- 2009
- [j3]Saket Navlakha, Michael C. Schatz, Carl Kingsford:
Revealing Biological Modules via Graph Summarization. J. Comput. Biol. 16(2): 253-264 (2009) - [c6]Saket Navlakha, James Robert White, Niranjan Nagarajan, Mihai Pop, Carl Kingsford:
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information. RECOMB 2009: 400-417 - [c5]Grecia Lapizco-Encinas, Carl Kingsford, James A. Reggia:
A cooperative combinatorial Particle Swarm Optimization algorithm for side-chain packing. SIS 2009: 22-29 - 2008
- [c4]Niranjan Nagarajan, Carl Kingsford:
Uncovering Genomic Reassortments among Influenza Strains by Enumerating Maximal Bicliques. BIBM 2008: 223-230 - 2006
- [c3]Carl Kingsford, Elena Zaslavsky, Mona Singh:
A Compact Mathematical Programming Formulation for DNA Motif Finding. CPM 2006: 233-245 - 2005
- [j2]Carleton Kingsford, Bernard Chazelle, Mona Singh:
Solving and analyzing side-chain positioning problems using linear and integer programming. Bioinform. 21(7): 1028-1039 (2005) - 2004
- [j1]Bernard Chazelle, Carl Kingsford, Mona Singh:
A Semidefinite Programming Approach to Side Chain Positioning with New Rounding Strategies. INFORMS J. Comput. 16(4): 380-392 (2004) - 2003
- [c2]Bernard Chazelle, Carl Kingsford, Mona Singh:
The Side-Chain Positioning Problem: A Semidefinite Programming Formulation With New Rounding Schemes. PCK50 2003: 86-94 - 2001
- [c1]John H. Reif, Thomas H. LaBean, Michael Pirrung, Vipul S. Rana, Bo Guo, Carl Kingsford, Gene S. Wickham:
Experimental Construction of Very Large Scale DNA Databases with Associative Search Capability. DNA 2001: 231-247
Coauthor Index
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