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1
EDGA: A Population Evolution Direction-Guided Genetic Algorithm for Protein-Ligand Docking
EDGA: A Population Evolution Direction-Guided Genetic Algorithm for Protein-Ligand Docking
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EDGA: A Population Evolution Direction-Guided Genetic Algorithm for Protein-Ligand Docking

Journal of computational biology, 2016-07, Vol.23 (7), p.585-596 [Peer Reviewed Journal]

Copyright 2016, Mary Ann Liebert, Inc. 2016 ;ISSN: 1066-5277 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2015.0190 ;PMID: 26895461

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2
Advanced Tailored Randomness: A Novel Approach for Improving the Efficacy of Biological Systems
Advanced Tailored Randomness: A Novel Approach for Improving the Efficacy of Biological Systems
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Advanced Tailored Randomness: A Novel Approach for Improving the Efficacy of Biological Systems

Journal of computational biology, 2020-01, Vol.27 (1), p.20-29 [Peer Reviewed Journal]

ISSN: 1557-8666 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2019.0231 ;PMID: 31424268

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3
Generating realistic in silico gene networks for performance assessment of reverse engineering methods
Generating realistic in silico gene networks for performance assessment of reverse engineering methods
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Generating realistic in silico gene networks for performance assessment of reverse engineering methods

Journal of computational biology, 2009-02, Vol.16 (2), p.229-239 [Peer Reviewed Journal]

COPYRIGHT 2009 Mary Ann Liebert, Inc. ;COPYRIGHT 2009 Mary Ann Liebert, Inc. ;ISSN: 1066-5277 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2008.09tt ;PMID: 19183003

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4
SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing
SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing
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SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing

Journal of computational biology, 2012-05, Vol.19 (5), p.455-477 [Peer Reviewed Journal]

Copyright 2012, Mary Ann Liebert, Inc. 2012 ;ISSN: 1066-5277 ;ISSN: 1557-8666 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2012.0021 ;PMID: 22506599

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5
Assembling single-cell genomes and mini-metagenomes from chimeric MDA products
Assembling single-cell genomes and mini-metagenomes from chimeric MDA products
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Assembling single-cell genomes and mini-metagenomes from chimeric MDA products

Journal of computational biology, 2013-10, Vol.20 (10), p.714-737 [Peer Reviewed Journal]

Copyright 2013, Mary Ann Liebert, Inc. 2013 ;ISSN: 1557-8666 ;ISSN: 1066-5277 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2013.0084 ;PMID: 24093227

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6
BWM: A Novel, Provable, Ensemble-based Dynamic Programming Algorithm for Sparse Approximations of Computational Protein Design
BWM: A Novel, Provable, Ensemble-based Dynamic Programming Algorithm for Sparse Approximations of Computational Protein Design
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BWM: A Novel, Provable, Ensemble-based Dynamic Programming Algorithm for Sparse Approximations of Computational Protein Design

Journal of computational biology, 2016-06, Vol.23 (6), p.413-424 [Peer Reviewed Journal]

Copyright 2016, Mary Ann Liebert, Inc. 2016 ;ISSN: 1066-5277 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2015.0194 ;PMID: 26744898

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7
A novel abundance-based algorithm for binning metagenomic sequences using l-tuples
A novel abundance-based algorithm for binning metagenomic sequences using l-tuples
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A novel abundance-based algorithm for binning metagenomic sequences using l-tuples

Journal of computational biology, 2011-03, Vol.18 (3), p.523-534 [Peer Reviewed Journal]

COPYRIGHT 2011 Mary Ann Liebert, Inc. ;COPYRIGHT 2011 Mary Ann Liebert, Inc. ;Copyright 2011, Mary Ann Liebert, Inc. 2011 ;ISSN: 1066-5277 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2010.0245 ;PMID: 21385052

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8
Sorting by Genome Rearrangements on Both Gene Order and Intergenic Sizes
Sorting by Genome Rearrangements on Both Gene Order and Intergenic Sizes
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Sorting by Genome Rearrangements on Both Gene Order and Intergenic Sizes

Journal of computational biology, 2020-02, Vol.27 (2), p.156-174 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1557-8666 ;ISSN: 1066-5277 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2019.0293 ;PMID: 31891533

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9
GRNUlar: A Deep Learning Framework for Recovering Single-Cell Gene Regulatory Networks
GRNUlar: A Deep Learning Framework for Recovering Single-Cell Gene Regulatory Networks
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GRNUlar: A Deep Learning Framework for Recovering Single-Cell Gene Regulatory Networks

Journal of computational biology, 2022-01, Vol.29 (1), p.27-44 [Peer Reviewed Journal]

ISSN: 1557-8666 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2021.0437 ;PMID: 35050715

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10
BBK (Branch and Bound Over K): A Provable and Efficient Ensemble-Based Protein Design Algorithm to Optimize Stability and Binding Affinity Over Large Sequence Spaces
BBK (Branch and Bound Over K): A Provable and Efficient Ensemble-Based Protein Design Algorithm to Optimize Stability and Binding Affinity Over Large Sequence Spaces
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BBK (Branch and Bound Over K): A Provable and Efficient Ensemble-Based Protein Design Algorithm to Optimize Stability and Binding Affinity Over Large Sequence Spaces

Journal of computational biology, 2018-07, Vol.25 (7), p.726-739 [Peer Reviewed Journal]

Copyright 2018, Mary Ann Liebert, Inc. 2018 ;ISSN: 1557-8666 ;ISSN: 1066-5277 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2017.0267 ;PMID: 29641249

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11
PASTA: Ultra-Large Multiple Sequence Alignment for Nucleotide and Amino-Acid Sequences
PASTA: Ultra-Large Multiple Sequence Alignment for Nucleotide and Amino-Acid Sequences
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PASTA: Ultra-Large Multiple Sequence Alignment for Nucleotide and Amino-Acid Sequences

Journal of computational biology, 2015-05, Vol.22 (5), p.377-386 [Peer Reviewed Journal]

Copyright 2015, Mary Ann Liebert, Inc. 2015 ;ISSN: 1066-5277 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2014.0156 ;PMID: 25549288

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12
A hybrid BPSO-CGA approach for gene selection and classification of microarray data
A hybrid BPSO-CGA approach for gene selection and classification of microarray data
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A hybrid BPSO-CGA approach for gene selection and classification of microarray data

Journal of computational biology, 2012-01, Vol.19 (1), p.68-82 [Peer Reviewed Journal]

Copyright 2012, Mary Ann Liebert, Inc. 2012 ;ISSN: 1066-5277 ;ISSN: 1557-8666 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2010.0064 ;PMID: 21210743

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13
Set-Min Sketch: A Probabilistic Map for Power-Law Distributions with Application to k -Mer Annotation
Set-Min Sketch: A Probabilistic Map for Power-Law Distributions with Application to k -Mer Annotation
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Set-Min Sketch: A Probabilistic Map for Power-Law Distributions with Application to k -Mer Annotation

Journal of computational biology, 2022-02, Vol.29 (2), p.140-154 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1557-8666 ;ISSN: 1066-5277 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2021.0429 ;PMID: 35049334

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14
WhatsHap: Weighted Haplotype Assembly for Future-Generation Sequencing Reads
WhatsHap: Weighted Haplotype Assembly for Future-Generation Sequencing Reads
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WhatsHap: Weighted Haplotype Assembly for Future-Generation Sequencing Reads

Journal of computational biology, 2015-06, Vol.22 (6), p.498-509 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1066-5277 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2014.0157 ;PMID: 25658651

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15
Improved Practical Algorithms for Rooted Subtree Prune and Regraft (rSPR) Distance and Hybridization Number
Improved Practical Algorithms for Rooted Subtree Prune and Regraft (rSPR) Distance and Hybridization Number
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Improved Practical Algorithms for Rooted Subtree Prune and Regraft (rSPR) Distance and Hybridization Number

Journal of computational biology, 2020-09, Vol.27 (9), p.1422-1432 [Peer Reviewed Journal]

ISSN: 1557-8666 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2019.0432 ;PMID: 32048865

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16
GADEM: a genetic algorithm guided formation of spaced dyads coupled with an EM algorithm for motif discovery
GADEM: a genetic algorithm guided formation of spaced dyads coupled with an EM algorithm for motif discovery
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GADEM: a genetic algorithm guided formation of spaced dyads coupled with an EM algorithm for motif discovery

Journal of computational biology, 2009-02, Vol.16 (2), p.317-329 [Peer Reviewed Journal]

COPYRIGHT 2009 Mary Ann Liebert, Inc. ;COPYRIGHT 2009 Mary Ann Liebert, Inc. ;Copyright 2009, Mary Ann Liebert, Inc. 2009 ;ISSN: 1066-5277 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2008.16TT ;PMID: 19193149

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17
Improving Bloom Filter Performance on Sequence Data Using k-mer Bloom Filters
Improving Bloom Filter Performance on Sequence Data Using k-mer Bloom Filters
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Improving Bloom Filter Performance on Sequence Data Using k-mer Bloom Filters

Journal of computational biology, 2017-06, Vol.24 (6), p.547-557 [Peer Reviewed Journal]

David Pellow, et al., 2016. Published by Mary Ann Liebert, Inc. 2017 ;ISSN: 1557-8666 ;ISSN: 1066-5277 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2016.0155 ;PMID: 27828710

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18
Calculating sample size estimates for RNA sequencing data
Calculating sample size estimates for RNA sequencing data
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Calculating sample size estimates for RNA sequencing data

Journal of computational biology, 2013-12, Vol.20 (12), p.970-978 [Peer Reviewed Journal]

Copyright 2013, Mary Ann Liebert, Inc. 2013 ;ISSN: 1066-5277 ;ISSN: 1557-8666 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2012.0283 ;PMID: 23961961

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19
Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters
Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters
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Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters

Journal of computational biology, 2016-05, Vol.23 (5), p.322-336 [Peer Reviewed Journal]

ISSN: 1066-5277 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2015.0189 ;PMID: 26799292

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20
MCAT: Motif Combining and Association Tool
MCAT: Motif Combining and Association Tool
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MCAT: Motif Combining and Association Tool

Journal of computational biology, 2019-01, Vol.26 (1), p.1-15 [Peer Reviewed Journal]

ISSN: 1557-8666 ;EISSN: 1557-8666 ;DOI: 10.1089/cmb.2018.0113 ;PMID: 30418034

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