TU1.R6.1

On k-Mer-Based and Maximum Likelihood Estimation Algorithms for Trace Reconstruction

Kuan Cheng, Peking University, China; Elena Grigorescu, Purdue University, United States; Xin Li, Johns Hopkins University, United States; Madhu Sudan, Harvard University, United States; Minshen Zhu, N/A, China
Session:
Biology: sequence reconstruction
Track:
17: Information and Coding in Biology
Location:
Sigma/Delta
Presentation Time:
Tue, 9 Jul, 09:45 - 10:05
Session Chair:
Netanel Raviv, Washington University in St. Louis
Presentation
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Discussion
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Session TU1.R6
TU1.R6.1: On k-Mer-Based and Maximum Likelihood Estimation Algorithms for Trace Reconstruction
Kuan Cheng, Peking University, China; Elena Grigorescu, Purdue University, United States; Xin Li, Johns Hopkins University, United States; Madhu Sudan, Harvard University, United States; Minshen Zhu, N/A, China
TU1.R6.2: Tree Trace Reconstruction - Reductions to String Trace Reconstruction
Thomas Maranzatto, University of Illinois Chicago, United States
TU1.R6.3: Sequence Reconstruction over 3-Deletion Channels
Di Zhang, Shandong University, China; Gennian Ge, Capital Normal University, China; Yiwei Zhang, Shandong University, China
TU1.R6.4: Reconstruction of multiple strings of constant weight from prefix-suffix compositions
Yaoyu Yang, Zitan Chen, The Chinese University of Hong Kong, Shenzhen, China
Resources
No resources available.