Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

immunomind/immunarch: 0.10.3

Authors: Aleksandr Popov; Maria Samokhina; Ivan Balashov; Vadim I. Nazarov; immunarch.bot; Eugene Rumynskiy; Grace Lam; +2 Authors

immunomind/immunarch: 0.10.3

Abstract

🧬 immunarch 0.10.3 — Release Notes Highlights Single-cell support. Load single-cell AIRR data, pair chains, and link scRNA-seq or spatial metadata. Repertoire statistics. Key functions for gene usage, diversity, clonality, and publicness are implemented. More will come. Out-of-memory + rich annotation. Work with data bigger than RAM. Annotate receptors with any info (e.g., immunogenicity, gene expression, cluster). Powered by ImmunData from immundata package. Faster at scale. Major speed-ups for large cohorts and single-cell libraries thanks to DuckDB backend. More reproducible. Immutable data objects reduce side effects and make analyses repeatable. Migration notes (0.9 → 0.10) New data layer: ImmunData from immundata. Functions return new objects instead of mutating in place. This helps reproducibility and scaling. API changes: large "meta-functions" like repDiversity() split into small families such as airr_diversity_*. Use the shared prefixes and the family help pages (e.g., ?airr_diversity). Fewer heavy dependencies; faster install. Visualisation with vis() for the new API is still evolving. New vis() is focused on fast and convenient visualisations rather than publication-ready figures. For publication-ready plots, use ggplot2. Tutorials & How-tos Single-cell tutorial (end-to-end) — loading, QC, gene usage, clonality, diversity, public indices, annotation. [immunomind.github.io] Import old immunarch data — convert repLoad() to ImmunData with from_immunarch(...). ([immunomind.github.io] Read AIRR-C (bulk, single-cell), 10x Genomics (single-chain, paired-chain) — how-tos are available on the docs website. [immunomind.github.io] New / reworked analysis families (API reference) These are the main v1.0-style families used in 0.10.3. Open the help in R (?family_name) or the API pages below. airr_stats: https://immunarch.com/reference/airr_stats.html airr_public: https://immunarch.com/reference/airr_public.html airr_clonality: https://immunarch.com/reference/airr_clonality.html airr_diversity: https://immunarch.com/reference/airr_diversity.html annotate_clonality: https://immunarch.com/reference/annotate_clonality.html (These pages describe all functions in each family, e.g., airr_diversity_shannon(), airr_public_jaccard(), etc.) Not all features from immunarch 0.9 are implemented in 0.10 yet. I'm working on it. Notes on immundata status immundata powers ImmunData and lets you analyse large datasets without loading everything in RAM. It supports bulk, single-cell, and spatial workflows. [immunomind.github.io]

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    42
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
42
Top 10%
Top 10%
Top 1%