BAllC and BAllCools: Efficient Formatting and Operating for Single-Cell DNA Methylation Data

MOTIVATION: With single-cell DNA methylation studies yielding vast datasets, existing data formats struggle with the unique challenges of storage and efficient operations, highlighting a need for improved solutions. RESULTS: BAllC (Binary All Cytosines) emerges as a tailored binary format for methyl...

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Detalles Bibliográficos
Autores principales: Tian, Wei, Ding, Wubin, Ecker, Joseph R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557610/
https://www.ncbi.nlm.nih.gov/pubmed/37808734
http://dx.doi.org/10.1101/2023.09.22.559047
Descripción
Sumario:MOTIVATION: With single-cell DNA methylation studies yielding vast datasets, existing data formats struggle with the unique challenges of storage and efficient operations, highlighting a need for improved solutions. RESULTS: BAllC (Binary All Cytosines) emerges as a tailored binary format for methylation data, addressing these challenges. BAllCools, its complementary software toolkit, enhances parsing, indexing, and querying capabilities, promising superior operational speeds and reduced storage needs. AVAILABILITY: https://github.com/jksr/ballcools

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