TY - JOUR
T1 - BAllC and BAllCools
T2 - efficient formatting and operating for single-cell DNA methylation data
AU - Tian, Wei
AU - Ding, Wubin
AU - Shen, Jiawei
AU - Li, Daofeng
AU - Wang, Ting
AU - Ecker, Joseph R.
N1 - Publisher Copyright:
© 2024 The Author(s).
PY - 2024/7/1
Y1 - 2024/7/1
N2 - 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 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.
AB - 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 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.
UR - http://www.scopus.com/inward/record.url?scp=85197661091&partnerID=8YFLogxK
U2 - 10.1093/bioinformatics/btae404
DO - 10.1093/bioinformatics/btae404
M3 - Article
C2 - 38905499
AN - SCOPUS:85197661091
SN - 1367-4803
VL - 40
JO - Bioinformatics
JF - Bioinformatics
IS - 7
M1 - btae404
ER -