arrow
Return

Efficient data filtering with multiple group conditions: a command tool for bioinformatics data analysis

delete2025-03-13
delete0
PRE
AI
W
Wenpeng Deng
J
Jianye Chang
A
Alun Li
H
Heping Xie
J
Jue Ruan
DOI:10.1007/s42994-025-00207-6delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Bioinformatics analysis often requires the filtering of multi-datasets, based on frequency or frequency of occurrence, for decisions on retention or deletion. Existing tools for this purpose often present a challenge with complex installation, which necessitate custom coding, thereby impeding efficient data processing activities. To address this issue, Filterx, a user-friendly command line tool that written in C language, was developed that supports multi-condition filtering, based on frequency or occurrence. This tool enables users to complete the data processing tasks through a simple command line, greatly reducing both workload and data processing time. In addition, future development of this tool could facilitate its integration into various bioinformatics data analysis pipelines.
Keywords:
File processing
Command-line tool
Set compute
Bioinformatics

Journal

aBIOTECH cover
aBIOTECH
IF:
5
Papers:
48
Citations:
626

Organization

U
Univ Coll Dublin UCD
Scholars:
12
Papers: 9
Citations: 9
C
Chinese Acad Agr Sci
Scholars:
5.0K
Papers: 1.7K
Citations: 656
Y
Yunnan Acad Tobacco Agr Sci
Scholars:
40
Papers: 22
Citations: 1
researcher View more organizations