| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bmcbi/SchubertGMWK17 |
| P6179 | Dimensions Publication ID | 1085211683 |
| P356 | DOI | 10.1186/S12859-017-1667-Z |
| P2888 | exact match | https://scigraph.springernature.com/pub.10.1186/s12859-017-1667-z |
| P932 | PMC publication ID | 5422934 |
| P698 | PubMed publication ID | 28482806 |
| P50 | author | Mathias Walzer | Q86564089 |
| Benjamin Schubert | Q87938312 | ||
| Oliver Kohlbacher | Q29998906 | ||
| P2093 | author name string | Christopher Mohr | |
| Luis de la Garza | |||
| P2860 | cites work | OpenMS - an open-source software framework for mass spectrometry | Q21284208 |
| KNIME-CDK: Workflow-driven cheminformatics | Q21284307 | ||
| Immunoinformatics and epitope prediction in the age of genomic medicine | Q36304147 | ||
| Comprehensive analysis of cancer-associated somatic mutations in class I HLA genes | Q36563549 | ||
| NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets | Q36742441 | ||
| Mutant MHC class II epitopes drive therapeutic immune responses to cancer | Q36817092 | ||
| HLA ligandomics identifies histone deacetylase 1 as target for ovarian cancer immunotherapy | Q37012697 | ||
| NetMHCIIpan-3.0, a common pan-specific MHC class II prediction method including all three human MHC class II isotypes, HLA-DR, HLA-DP and HLA-DQ. | Q37257313 | ||
| EpiToolKit--a web-based workbench for vaccine design | Q41354790 | ||
| Antileukemia T-cell responses in CLL - We don't need no aberration | Q41593562 | ||
| Designing string-of-beads vaccines with optimal spacers | Q41874594 | ||
| OptiTope--a web server for the selection of an optimal set of peptides for epitope-based vaccines. | Q41981083 | ||
| Universal peptide vaccines - optimal peptide vaccine design based on viral sequence conservation | Q43040073 | ||
| Modeling the MHC class I pathway by combining predictions of proteasomal cleavage, TAP transport and MHC class I binding | Q46469492 | ||
| Gapped sequence alignment using artificial neural networks: application to the MHC class I system. | Q47601200 | ||
| Automated generation and evaluation of specific MHC binding predictive tools: ARB matrix applications. | Q53677823 | ||
| The role of the proteasome in generating cytotoxic T-cell epitopes: insights obtained from improved predictions of proteasomal cleavage | Q56879701 | ||
| Transporter Associated with Antigen Processing Preselection of Peptides Binding to the MHC: A Bioinformatic Evaluation | Q57021649 | ||
| Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices | Q57221639 | ||
| Database resources of the National Center for Biotechnology Information | Q57444434 | ||
| Prediction of MHC class I binding peptides, using SVMHC | Q24806545 | ||
| Generating quantitative models describing the sequence specificity of biological processes with the stabilized matrix method | Q24815448 | ||
| Translation of genomics-guided RNA-based personalised cancer vaccines: towards the bedside | Q27015695 | ||
| KNIME - the Konstanz information miner: version 2.0 and beyond | Q27162504 | ||
| OpenMS: a flexible open-source software platform for mass spectrometry data analysis | Q28278187 | ||
| TEPITOPEpan: extending TEPITOPE for peptide binding prediction covering over 700 HLA-DR molecules | Q28481206 | ||
| ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data | Q29547161 | ||
| Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor | Q29614870 | ||
| Ensembl 2015 | Q29615570 | ||
| SYFPEITHI: database for MHC ligands and peptide motifs | Q29616214 | ||
| SeqAn an efficient, generic C++ library for sequence analysis | Q30481303 | ||
| OptiType: precision HLA typing from next-generation sequencing data | Q30843963 | ||
| Workflows for automated downstream data analysis and visualization in large-scale computational mass spectrometry. | Q30885283 | ||
| Derivation of an amino acid similarity matrix for peptide: MHC binding and its application as a Bayesian prior | Q30932156 | ||
| Identifying MHC class I epitopes by predicting the TAP transport efficiency of epitope precursors. | Q31151998 | ||
| Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method | Q33289831 | ||
| Quantitative peptide binding motifs for 19 human and mouse MHC class I molecules derived using positional scanning combinatorial peptide libraries | Q33316579 | ||
| The PickPocket method for predicting binding specificities for receptors based on receptor pocket similarities: application to MHC-peptide binding | Q33419581 | ||
| HLA typing from RNA-Seq sequence reads | Q33781090 | ||
| NetCTLpan: pan-specific MHC class I pathway epitope predictions | Q33873269 | ||
| Knime4Bio: a set of custom nodes for the interpretation of next-generation sequencing data with KNIME. | Q34044769 | ||
| Scheme for ranking potential HLA-A2 binding peptides based on independent binding of individual peptide side-chains. | Q34345936 | ||
| Integrated modeling of the major events in the MHC class I antigen processing pathway | Q34429970 | ||
| PRIDE: the proteomics identifications database | Q34436630 | ||
| HLA ligandome analysis identifies the underlying specificities of spontaneous antileukemia immune responses in chronic lymphocytic leukemia (CLL). | Q34985471 | ||
| Properties of MHC class I presented peptides that enhance immunogenicity | Q35034097 | ||
| The immune epitope database (IEDB) 3.0. | Q35254745 | ||
| PIA: An Intuitive Protein Inference Engine with a Web-Based User Interface | Q35621436 | ||
| ViPR: an open bioinformatics database and analysis resource for virology research. | Q35630736 | ||
| From the desktop to the grid: scalable bioinformatics via workflow conversion | Q35954542 | ||
| FRED 2: an immunoinformatics framework for Python. | Q36011145 | ||
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | workflow | Q627335 |
| P304 | page(s) | 242 | |
| P577 | publication date | 2017-05-08 | |
| P1433 | published in | BMC Bioinformatics | Q4835939 |
| P1476 | title | ImmunoNodes - graphical development of complex immunoinformatics workflows | |
| P478 | volume | 18 |
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