Bioinformatics for Cancer Immunotherapy Methods and Protocols /
| Institution som forfatter: | |
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| Andre forfattere: | |
| Summary: | XII, 304 p. 57 illus., 48 illus. in color. text |
| Sprog: | engelsk |
| Udgivet: |
New York, NY :
Springer US : Imprint: Humana,
2020.
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| Udgivelse: | 1st ed. 2020. |
| Serier: | Methods in Molecular Biology,
2120 |
| Fag: | |
| Online adgang: | https://doi.org/10.1007/978-1-0716-0327-7 |
| Format: | Electronisk Bog |
Indholdsfortegnelse:
- Bioinformatics for Cancer Immunotherapy
- An Individualized Approach for Somatic Variant Discovery
- Ensemble-Based Somatic Mutation Calling in Cancer Genomes
- SomaticSeq: An Ensemble and Machine Learning Method to Detect Somatic Mutations
- HLA Typing from RNA Sequencing and Applications to Cancer
- Rapid High-Resolution Typing of Class I HLA Genes by Nanopore Sequencing
- HLApers: HLA Typing and Quantification of Expression with Personalized Index
- High-Throughput MHC I Ligand Prediction using MHCflurry
- In Silico Prediction of Tumor Neoantigens with TIminer
- OpenVax: An Open-Source Computational Pipeline for Cancer Neoantigen Prediction
- Improving MHC-I Ligand Identification by Incorporating Targeted Searches of Mass Spectrometry Data
- The SysteMHC Atlas: A Computational Pipeline, A Website, and A Data Repository for Immunopeptidomics Analysis
- Identification of Epitope-Specific T Cells in T Cell Receptor Repertoires
- Modeling and Viewing T Cell Receptors using TCRmodel and TCR3d
- In Silico Cell Type Deconvolution Methods in Cancer Immunotherapy
- Immunedeconv - An R Package for Unified Access to Computational Methods for Estimating Immune Cell Fractions from Bulk RNA Sequencing Data
- EPIC: A Tool to Estimate the Proportions of Different Cell Types from Bulk Gene Expression Data
- Computational Deconvolution of Tumor-Infiltrating Immune Components with Bulk Tumor Gene Expression Data
- Cell Type Enrichment Analysis of Bulk Transcriptomes using xCell
- Cap Analysis of Gene Expression (CAGE), A Quantitative and Genome-Wide Assay of Transcription Start Sites.