• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 1,261 matches

• 2020
• 
  Vipin Vijayan, Shawn Gu, Eric T. Krebs, Lei Meng, Tijana Milenkovic:
  Pairwise Versus Multiple Global Network Alignment. IEEE Access 8: 41961-41974 (2020)
• 
  Timo Lassmann:
  Kalign 3: multiple sequence alignment of large datasets. Bioinform. 36(6): 1928-1929 (2020)
• 
  Fabian Sievers, Desmond G. Higgins:
  QuanTest2: benchmarking multiple sequence alignments using secondary structure prediction. Bioinform. 36(1): 90-95 (2020)
• 
  Hiroyuki Fukuda, Kentaro Tomii:
  DeepECA: an end-to-end learning framework for protein contact prediction from a multiple sequence alignment. BMC Bioinform. 21(1): 10 (2020)
• 
  Ali Dabba, Abdelkamel Tari, Djaafar Zouache:
  Multiobjective artificial fish swarm algorithm for multiple sequence alignment. INFOR Inf. Syst. Oper. Res. 58(1): 38-59 (2020)
• 
  Songlei Jian, Liang Hu, Longbing Cao, Kai Lu:
  Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. AAAI 2020: 4320-4327
• 
  Keisuke Kawano, Takuro Kutsuna, Satoshi Koide:
  Neural Time Warping for Multiple Sequence Alignment. ICASSP 2020: 3837-3841
• 
  Bharath Reddy, Richard Fields:
  Multiple Anchor Staged Alignment Algorithm - Sensitive (MASAA - S). ICICT 2020: 361-365
• 
  Francesco Peverelli, Lorenzo Di Tucci, Marco D. Santambrogio, Nan Ding, Steven A. Hofmeyr, Aydin Buluç, Leonid Oliker, Katherine A. Yelick:
  GPU accelerated partial order multiple sequence alignment for long reads self-correction. IPDPS Workshops 2020: 174-182
• 
  Zijie Zhuang, Longhui Wei, Lingxi Xie, Hengheng Zhang, Tianyu Zhang, Haozhe Wu, Haizhou Ai, Qi Tian:
  Disassembling the Dataset: A Camera Alignment Mechanism for Multiple Tasks in Person Re-identification. CoRR abs/2001.08680 (2020)
• 
  Keisuke Kawano, Takuro Kutsuna, Satoshi Koide:
  Neural Time Warping For Multiple Sequence Alignment. CoRR abs/2006.15753 (2020)
• 2019
• 
  Jingtao Hu, Miaomiao Li, En Zhu, Siwei Wang, Xinwang Liu, Yongping Zhai:
  Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization. IEEE Access 7: 136322-136331 (2019)
• 
  Hao Pu, Lu Zhao, Wei Li, Jian Zhang, Zhenya Zhang, Jiaxuan Liang, Taoran Song:
  A Global Iterations Method for Recreating Railway Vertical Alignment Considering Multiple Constraints. IEEE Access 7: 121199-121211 (2019)
• 
  Hisanori Kiryu, Yuto Ichikawa, Yasuhiro Kojima:
  TMRS: an algorithm for computing the time to the most recent substitution event from a multiple alignment column. Algorithms Mol. Biol. 14(1): 23:1-23:14 (2019)
• 
  Kazutaka Katoh, John Rozewicki, Kazunori D. Yamada:
  MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization. Briefings Bioinform. 20(4): 1160-1166 (2019)
• 
  Mathilde Carpentier, Jacques Chomilier:
  Protein multiple alignments: sequence-based versus structure-based programs. Bioinform. 35(20): 3970-3980 (2019)
• 
  Sebastian Deorowicz, Joanna Walczyszyn, Agnieszka Debudaj-Grabysz:
  CoMSA: compression of protein multiple sequence alignment files. Bioinform. 35(2): 227-234 (2019)
• 
  Maurits J. J. Dijkstra, Atze van der Ploeg, K. Anton Feenstra, Wan J. Fokkink, Sanne Abeln, Jaap Heringa:
  Tailor-made multiple sequence alignments using the PRALINE 2 alignment toolkit. Bioinform. 35(24): 5315-5317 (2019)
• 
  Nelson Gil, András Fiser:
  The choice of sequence homologs included in multiple sequence alignments has a dramatic impact on evolutionary conservation analysis. Bioinform. 35(1): 12-19 (2019)
• 
  Chris-André Leimeister, Thomas Dencker, Burkhard Morgenstern:
  Accurate multiple alignment of distantly related genome sequences using filtered spaced word matches as anchor points. Bioinform. 35(2): 211-218 (2019)
• 
  Ritika Ramani, Katie Krumholz, Yi-Fei Huang, Adam Siepel:
  PhastWeb: a web interface for evolutionary conservation scoring of multiple sequence alignments using phastCons and phyloP. Bioinform. 35(13): 2320-2322 (2019)
• 
  Maksim V. Shegay, Dmitry Suplatov, Nina N. Popova, Vytas Svedas, Vladimir V. Voevodin:
  parMATT: parallel multiple alignment of protein 3D-structures with translations and twists for distributed-memory systems. Bioinform. 35(21): 4456-4458 (2019)
• 
  Antonio Solano-Román, Carlos Cruz-Castillo, D. Offenhuber, A Colubri:
  NX4: a web-based visualization of large multiple sequence alignments. Bioinform. 35(22): 4800-4802 (2019)
• 
  Qing Zhan, Nan Wang, Shuilin Jin, Renjie Tan, Qinghua Jiang, Yadong Wang:
  ProbPFP: a multiple sequence alignment algorithm combining hidden Markov model optimized by particle swarm optimization with partition function. BMC Bioinform. 20-S(18): 573:1-573:10 (2019)
• 
  Soniya Lalwani, Harish Sharma, Abhay Verma, Rajesh Kumar:
  Efficient discrete firefly algorithm for Ctrie based caching of multiple sequence alignment on optimally scheduled parallel machines. CAAI Trans. Intell. Technol. 4(2): 92-100 (2019)
• 
  Xiangyu Zhang, Jianping Mao, Wei Li, Kazuo Koike, Jian Wang:
  Improved 3D-QSAR prediction by multiple-conformational alignment: A case study on PTP1B inhibitors. Comput. Biol. Chem. 83 (2019)
• 
  Chao Kong, Ming Gao, Chen Xu, Yunbin Fu, Weining Qian, Aoying Zhou:
  EnAli: entity alignment across multiple heterogeneous data sources. Frontiers Comput. Sci. 13(1): 157-169 (2019)
• 
  Changyong Shin, Se-Hyoung Cho:
  Channel-Alignment Based Non-Orthogonal Multiple Access Techniques. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 102-A(10): 1431-1437 (2019)
• 
  Mohammad Hossein Alishahi, Abolfazl Falahati:
  General precoder interference alignment design with achievable higher multiplexing gain and reduced channel extension cases. IET Communications 13(17): 2876-2882 (2019)
• 
  Xiaolong Feng, Jing Gao:
  Gene Sequences Parallel Alignment Model Based on Multiple Inputs and Outputs. Int. J. Comput. Commun. Control 14(2): 141-153 (2019)

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