| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bioinformatics/HamidF19 |
| P356 | DOI | 10.1093/BIOINFORMATICS/BTY937 |
| P932 | PMC publication ID | 6581433 |
| P698 | PubMed publication ID | 30418485 |
| P50 | author | Iddo Friedberg | Q29000416 |
| P2093 | author name string | Md-Nafiz Hamid | |
| P2860 | cites work | Matplotlib: A 2D Graphics Environment | Q17278583 |
| Classification and analysis of a large collection of in vivo bioassay descriptions | Q38374528 | ||
| Exploring the application of deep learning techniques on medical text corpora | Q38424693 | ||
| Predicting protein function by genomic context: quantitative evaluation and qualitative inferences | Q40414366 | ||
| Maturation pathway of nisin and other lantibiotics: post-translationally modified antimicrobial peptides exported by gram-positive bacteria | Q40943864 | ||
| BAGEL3: Automated identification of genes encoding bacteriocins and (non-)bactericidal posttranslationally modified peptides. | Q41913660 | ||
| Predicting CTCF-mediated chromatin loops using CTCF-MP. | Q55514170 | ||
| The NumPy Array: A Structure for Efficient Numerical Computation | Q57317251 | ||
| GenBank | Q57635898 | ||
| Word and Sentence Embedding Tools to Measure Semantic Similarity of Gene Ontology Terms by Their Definitions | Q58088689 | ||
| Gene2vec: distributed representation of genes based on co-expression | Q64230759 | ||
| SpliceVec: Distributed feature representations for splice junction prediction | Q88179887 | ||
| Gapped BLAST and PSI-BLAST: a new generation of protein database search programs | Q24545170 | ||
| UniProt: the Universal Protein knowledgebase | Q24598826 | ||
| Biopython: freely available Python tools for computational molecular biology and bioinformatics | Q24643426 | ||
| BACTIBASE second release: a database and tool platform for bacteriocin characterization | Q24645542 | ||
| The use of gene clusters to infer functional coupling | Q24673189 | ||
| NCBI reference sequences (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins | Q24676525 | ||
| Phydbac "Gene Function Predictor": a gene annotation tool based on genomic context analysis | Q24815778 | ||
| A large scale prediction of bacteriocin gene blocks suggests a wide functional spectrum for bacteriocins | Q28607543 | ||
| Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences | Q29547172 | ||
| Accelerated Profile HMM Searches | Q29547576 | ||
| Twilight zone of protein sequence alignments | Q29614388 | ||
| STRING v9.1: protein-protein interaction networks, with increased coverage and integration | Q29614691 | ||
| CD-HIT: accelerated for clustering the next-generation sequencing data | Q29616664 | ||
| Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics | Q30381225 | ||
| Text mining improves prediction of protein functional sites | Q30413855 | ||
| Posttranslationally modified bacteriocins--the lantibiotics | Q33994638 | ||
| Lantibiotics: structure, biosynthesis and mode of action | Q34248859 | ||
| Automated genome mining of ribosomal peptide natural products | Q34434107 | ||
| Bacteriocins: evolution, ecology, and application | Q34762780 | ||
| antiSMASH 3.0-a comprehensive resource for the genome mining of biosynthetic gene clusters | Q35810231 | ||
| UniProtKB/Swiss-Prot, the Manually Annotated Section of the UniProt KnowledgeBase: How to Use the Entry View | Q35828128 | ||
| Lantibiotics: peptides of diverse structure and function. | Q36824144 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P4510 | describes a project that uses | NumPy | Q197520 |
| scikit-learn | Q1026367 | ||
| Jupyter notebook file | Q70357595 | ||
| P433 | issue | 12 | |
| P921 | main subject | word embedding | Q18395344 |
| antimicrobial peptide | Q1201508 | ||
| recurrent neural network | Q1457734 | ||
| P1104 | number of pages | 8 | |
| P304 | page(s) | 2009-2016 | |
| P577 | publication date | 2019-06-01 | |
| P1433 | published in | Bioinformatics | Q4914910 |
| P1476 | title | Identifying antimicrobial peptides using word embedding with deep recurrent neural networks | |
| P478 | volume | 35 |
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| Q100994246 | Incorporating Deep Learning With Word Embedding to Identify Plant Ubiquitylation Sites |
| Q106645058 | Incorporating Machine Learning into Established Bioinformatics Frameworks |
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| Q64065341 | Probabilistic variable-length segmentation of protein sequences for discriminative motif discovery (DiMotif) and sequence embedding (ProtVecX) |
| Q102220448 | Protein antibiotics: mind your language |
| Q90385576 | SG-LSTM-FRAME: a computational frame using sequence and geometrical information via LSTM to predict miRNA-gene associations |
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