Bioinformatics for cancer immunotherapy : methods and protocols /
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Imprint: | New York, NY : Humana Press, [2020] |
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Description: | 1 online resource (xii, 304 pages) : illustrations |
Language: | English |
Series: | Methods in molecular biology, 1940-6029 ; 2120 Methods in molecular biology (Clifton, N.J.) ; v. 2120. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12284109 |
Table of Contents:
- 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.