| 1 | StopKB: a comprehensive knowledgebase for nonsense suppression therapies | 2.7 | 2 | Citations (PDF) |
| 2 | Graph-based machine learning model for weight prediction in protein–protein networks | 3.0 | 3 | Citations (PDF) |
| 3 | De-MISTED: Image-based classification of erroneous multiple sequence alignments using convolutional neural networks | 2.8 | 4 | Citations (PDF) |
| 4 | CeGAL: Redefining a Widespread Fungal-Specific Transcription Factor Family Using an In Silico Error-Tracking Approach | 3.4 | 9 | Citations (PDF) |
| 5 | Real or fake? Measuring the impact of protein annotation errors on estimates of domain gain and loss events | 3.3 | 17 | Citations (PDF) |
| 6 | Proteome-Scale Detection of Differential Conservation Patterns at Protein and Subprotein Levels with BLUR | 2.4 | 3 | Citations (PDF) |
| 7 | Potential role of the X circular code in the regulation of gene expression | 1.6 | 6 | Citations (PDF) |
| 8 | Understanding the causes of errors in eukaryotic protein-coding gene prediction: a case study of primate proteomes | 3.0 | 39 | Citations (PDF) |
| 9 | MISTIC: A prediction tool to reveal disease-relevant deleterious missense variants | 2.3 | 47 | Citations (PDF) |
| 10 | Characterization of accessory genes in coronavirus genomes | 3.6 | 164 | Citations (PDF) |
| 11 | Identification of a circular code periodicity in the bacterial ribosome: origin of codon periodicity in genes? | 3.3 | 16 | Citations (PDF) |
| 12 | A benchmark study of ab initio gene prediction methods in diverse eukaryotic organisms | 3.2 | 91 | Citations (PDF) |
| 13 | Optimality of circular codes versus the genetic code after frameshift errors | 1.6 | 9 | Citations (PDF) |
| 14 | Circular code motifs in the ribosome: a missing link in the evolution of translation? | 3.8 | 34 | Citations (PDF) |
| 15 | BNO—An ontology for understanding the transittability of complex biomolecular networks | 2.4 | 3 | Citations (PDF) |
| 16 | Evolutionary conservation and functional implications of circular code motifs in eukaryotic genomes | 1.6 | 19 | Citations (PDF) |
| 17 | OrthoInspector 3.0: open portal for comparative genomics | 15.5 | 72 | Citations (PDF) |
| 18 | PROBE: analysis and visualization of protein block-level evolution | 4.7 | 4 | Citations (PDF) |
| 19 | Recessive
MYPN
mutations cause cap myopathy with occasional nemaline rods | 6.6 | 34 | Citations (PDF) |
| 20 | Common and variable clinical, histological, and imaging findings of recessive RYR1-related centronuclear myopathy patients | 0.7 | 44 | Citations (PDF) |
| 21 | Enrichment of Circular Code Motifs in the Genes of the Yeast Saccharomyces cerevisiae | 2.6 | 9 | Citations (PDF) |
| 22 | LEON-BIS: multiple alignment evaluation of sequence neighbours using a Bayesian inference system | 3.0 | 12 | Citations (PDF) |
| 23 | Metazoan Remaining Genes for Essential Amino Acid Biosynthesis: Sequence Conservation and Evolutionary Analyses | 4.4 | 13 | Citations (PDF) |
| 24 | OrthoInspector 2.0: Software and database updates | 4.7 | 24 | Citations (PDF) |
| 25 | Heterogeneous biological data integration with declarative query language | 0.5 | 5 | Citations (PDF) |
| 26 | A comprehensive study of small non-frameshift insertions/deletions in proteins and prediction of their phenotypic effects by a machine learning method (KD4i) | 3.0 | 25 | Citations (PDF) |
| 27 | SIBIS: a Bayesian model for inconsistent protein sequence estimation | 4.7 | 8 | Citations (PDF) |
| 28 | Functional insights into the core-TFIIH from a comparative survey | 2.8 | 19 | Citations (PDF) |
| 29 | Knowledge Discovery in Variant Databases Using Inductive Logic Programming | 2.2 | 6 | Citations (PDF) |
| 30 | The Chordate Proteome History Database | 1.3 | 5 | Citations (PDF) |
| 31 | KD4v: comprehensible knowledge discovery system for missense variant | 15.5 | 26 | Citations (PDF) |
| 32 | EvoluCode: Evolutionary Barcodes as a Unifying Framework for Multilevel Evolutionary Data | 1.3 | 4 | Citations (PDF) |
| 33 | MSV3d: database of human MisSense variants mapped to 3D protein structure | 2.7 | 25 | Citations (PDF) |
| 34 | Evolutionary analysis of the ENTH/ANTH/VHS protein superfamily reveals a coevolution between membrane trafficking and metabolism | 3.2 | 38 | Citations (PDF) |
| 35 | Controversies in modern evolutionary biology: the imperative for error detection and quality control | 3.2 | 42 | Citations (PDF) |
| 36 | A Comprehensive Benchmark Study of Multiple Sequence Alignment Methods: Current Challenges and Future Perspectives | 2.3 | 229 | Citations (PDF) |
| 37 | Identifying Single Copy Orthologs in Metazoa | 3.1 | 25 | Citations (PDF) |
| 38 | Lessons from genome-wide studies: an integrated definition of the coactivator function of histone acetyl transferases | 3.2 | 48 | Citations (PDF) |
| 39 | AQUA: automated quality improvement for multiple sequence alignments | 4.7 | 56 | Citations (PDF) |
| 40 | AlexSys: a knowledge-based expert system for multiple sequence alignment construction and analysis | 15.5 | 11 | Citations (PDF) |
| 41 | Issues in bioinformatics benchmarking: the case study of multiple sequence alignment | 15.5 | 78 | Citations (PDF) |
| 42 | Comparison of eukaryotic phylogenetic profiling approaches using species tree aware methods | 3.0 | 19 | Citations (PDF) |
| 43 | Initial Implementation of a Comparative Data Analysis Ontology | 1.3 | 31 | Citations (PDF) |
| 44 | A new protein linear motif benchmark for multiple sequence alignment software | 3.0 | 24 | Citations (PDF) |
| 45 | Knowledge-based expert systems and a proof-of-concept case study for multiple sequence alignment construction and analysis | 6.6 | 16 | Citations (PDF) |
| 46 | Strategies for Reliable Exploitation of Evolutionary Concepts in High Throughput Biology | 1.3 | 17 | Citations (PDF) |
| 47 | MAGOS: multiple alignment and modelling server | 4.7 | 2 | Citations (PDF) |
| 48 | BAliBASE 3.0: Latest developments of the multiple sequence alignment benchmark | 2.6 | 371 | Citations (PDF) |
| 49 | GOAnno: GO annotation based on multiple alignment | 4.7 | 37 | Citations (PDF) |
| 50 | MAO: a Multiple Alignment Ontology for nucleic acid and protein sequences | 15.5 | 23 | Citations (PDF) |
| 51 | LEON: multiple aLignment Evaluation Of Neighbours | 15.5 | 25 | Citations (PDF) |
| 52 | Multiple sequence alignment with the Clustal series of programs | 15.5 | 4,390 | Citations (PDF) |
| 53 | PipeAlign: a new toolkit for protein family analysis | 15.5 | 113 | Citations (PDF) |
| 54 | RASCAL: rapid scanning and correction of multiple sequence alignments | 4.7 | 133 | Citations (PDF) |
| 55 | BAliBASE (Benchmark Alignment dataBASE): enhancements for repeats, transmembrane sequences and circular permutations | 15.5 | 159 | Citations (PDF) |
| 56 | Towards a reliable objective function for multiple sequence alignments 1 1Edited by J. Karn | 4.1 | 133 | Citations (PDF) |
| 57 | Multiple alignment of complete sequences (MACS) in the post-genomic era | 2.3 | 63 | Citations (PDF) |
| 58 | Multiple sequence alignment with Clustal X | 6.7 | 2,533 | Citations (PDF) |
| 59 | PairWise and SearchWise: Finding the Optimal Alignment in a Simultaneous Comparison of a Protein Profile against All DNA Translation Frames | 15.5 | 159 | Citations (PDF) |
| 60 | Introducing variable gap penalties to sequence alignment in linear space | 4.7 | 6 | Citations (PDF) |
| 61 | Evidence for a protein domain superfamily shared by the cyclins, TFIIB and RB/p107 | 15.5 | 74 | Citations (PDF) |
| 62 | Improved sensitivity of profile searches through the use of sequence weights and gap excision | 4.7 | 192 | Citations (PDF) |
| 63 | Detection of dsRNA-binding domains in RNA helicase A andDrosophilamaleless: implications for monomeric RNA helicases | 15.5 | 104 | Citations (PDF) |
| 64 | CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice | 15.5 | 62,341 | Citations (PDF) |
| 65 | The KH domain occurs in a diverse set of RNA‐binding proteins that include the antiterminator NusA and is probably involved in binding to nucleic acid | 2.7 | 193 | Citations (PDF) |
| 66 | KH domains within the FMR1 sequence suggest that fragile X syndrome stems from a defect in RNA metabolism | 6.7 | 74 | Citations (PDF) |
| 67 | Integrative Multi-Omics and Network Analyses Reveal Pathogenic and Protective Pathways in Centronuclear Myopathies | 4.4 | 0 | Citations (PDF) |