Algorithms for Molecular Biology

Papers
(The TQCC of Algorithms for Molecular Biology is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Improving metagenomic binning results with overlapped bins using assembly graphs13
Binning long reads in metagenomics datasets using composition and coverage information11
Bayesian optimization with evolutionary and structure-based regularization for directed protein evolution10
INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis10
Fast characterization of segmental duplication structure in multiple genome assemblies10
Evolution through segmental duplications and losses: a Super-Reconciliation approach10
Fast lightweight accurate xenograft sorting10
gsufsort: constructing suffix arrays, LCP arrays and BWTs for string collections7
Disk compression of k-mer sets7
A new 1.375-approximation algorithm for sorting by transpositions7
Parsimonious Clone Tree Integration in cancer6
The Bourque distances for mutation trees of cancers6
Distinguishing linear and branched evolution given single-cell DNA sequencing data of tumors6
Reconstruction of time-consistent species trees6
Approximation algorithm for rearrangement distances considering repeated genes and intergenic regions6
Heuristic shortest hyperpaths in cell signaling hypergraphs6
Space-efficient representation of genomic k-mer count tables6
An improved approximation algorithm for the reversal and transposition distance considering gene order and intergenic sizes5
Treewidth-based algorithms for the small parsimony problem on networks4
Fulgor: a fast and compact k-mer index for large-scale matching and color queries4
The distance and median problems in the single-cut-or-join model with single-gene duplications4
A novel method for inference of acyclic chemical compounds with bounded branch-height based on artificial neural networks and integer programming4
Embedding gene trees into phylogenetic networks by conflict resolution algorithms4
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