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SHazaM
SHazaM is part of the Immcantation analysis
framework for Adaptive Immune Receptor Repertoire sequencing (AIRR-seq)
and provides tools for advanced analysis of somatic hypermutation (SHM)
in immunoglobulin (Ig) sequences. Shazam focuses on the following
analysis topics:
- Quantification of mutational load
SHazaM includes methods for determine the rate of observed and expected
mutations under various criteria. Mutational profiling criteria include
rates under SHM targeting models, mutations specific to CDR and FWR
regions, and physicochemical property dependent substitution rates.
- Statistical models of SHM targeting patterns
Models of SHM may be divided into two independent components:
- a mutability model that defines where mutations occur and (b) a
nucleotide substitution model that defines the resulting mutation.
Collectively these two components define an SHM targeting model. SHazaM
provides empirically derived SHM 5-mer context mutation models for both
humans and mice, as well tools to build SHM targeting models from
data.
- Analysis of selection pressure using BASELINe
The Bayesian Estimation of Antigen-driven Selection in Ig Sequences
(BASELINe) method is a novel method for quantifying antigen-driven
selection in high-throughput Ig sequence data. BASELINe uses SHM
targeting models can be used to estimate the null distribution of
expected mutation frequencies, and provide measures of selection
pressure informed by known AID targeting biases.
- Model-dependent distance calculations
SHazaM provides methods to compute evolutionary distances between
sequences or set of sequences based on SHM targeting models. This
information is particularly useful in understanding and defining clonal
relationships.
For help and questions please contact the
Immcantation Group
or use the issue
tracker.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.