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ORCID6th AlCoB 2019: Berkeley, CA, USA
- Ian H. Holmes
, Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Algorithms for Computational Biology - 6th International Conference, AlCoB 2019, Berkeley, CA, USA, May 28-30, 2019, Proceedings. Lecture Notes in Computer Science 11488, Springer 2019, ISBN 978-3-030-18173-4
Invited Talk
- Tandy J. Warnow:
New Divide-and-Conquer Techniques for Large-Scale Phylogenetic Estimation. 3-21
Biological Networks and Graph Algorithms
- Tom Davot, Annie Chateau, Rodolphe Giroudeau, Mathias Weller:
New Polynomial-Time Algorithm Around the Scaffolding Problem. 25-38 - Ozan Kahramanogullari:
Enumerating Dominant Pathways in Biological Networks by Information Flow Analysis. 39-51 - Sridevi Maharaj, Zarin Ohiba, Wayne B. Hayes:
Comparing Different Graphlet Measures for Evaluating Network Model Fits to BioGRID PPI Networks. 52-67 - Louis Petingi, Tamar Schlick:
Graph-Theoretic Partitioning of RNAs and Classification of Pseudoknots. 68-79 - Alexander Shlemov, Anton I. Korobeynikov:
PathRacer: Racing Profile HMM Paths on Assembly Graph. 80-94
Genome Rearrangement, Assembly and Classification
- Pavel Avdeyev, Maria Atamanova, Max A. Alekseyev:
A Uniform Theory of Adequate Subgraphs for the Genome Median, Halving, and Aliquoting Problems. 97-111 - Veronica Guerrini, Giovanna Rosone:
Lightweight Metagenomic Classification via eBWT. 112-124 - Christopher Wright, Sriram Krishnamoorthy, Milind Kulkarni:
MULKSG: MULtiple K Simultaneous Graph Assembly. 125-136 - João Paulo Pereira Zanetti, Leonid Chindelevitch, João Meidanis:
Counting Sorting Scenarios and Intermediate Genomes for the Rank Distance. 137-151 - João Paulo Pereira Zanetti, Leonid Chindelevitch, João Meidanis:
Generalizations of the Genomic Rank Distance to Indels. 152-164
Sequence Analysis, Phylogenetics and Other Biological Processes
- Thien Le, Aaron Sy, Erin K. Molloy, Qiuyi (Richard) Zhang, Satish Rao, Tandy J. Warnow:
Using INC Within Divide-and-Conquer Phylogeny Estimation. 167-178 - Alona Levy-Jurgenson, Xavier Tekpli, Vessela N. Kristensen, Zohar Yakhini:
Predicting Methylation from Sequence and Gene Expression Using Deep Learning with Attention. 179-190 - Kari Nousiainen, Jukka Intosalmi, Harri Lähdesmäki:
A Mathematical Model for Enhancer Activation Kinetics During Cell Differentiation. 191-202 - Atif Rahman, Lior Pachter:
Transcript Abundance Estimation and the Laminar Packing Problem. 203-211 - Peng Xiao, Xingyu Cai, Sanguthevar Rajasekaran:
Efficient Algorithms for Finding Edit-Distance Based Motifs. 212-223
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