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

Wenpeng Deng, Jianye Chang, Alun Li, He Xie, Jue Ruan

Abstract readLetter

In one paragraph

Article in aBIOTECH, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wenpeng DengHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070 China.

Jianye ChangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120 China.

Alun LiShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120 China.

He XieTobacco Breeding and Biotechnology Research Center, Yunnan Academy of Tobacco Agricultural Sciences, Kunming, 650021 China.

Jue RuanShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120 China.ORCID 0000-0003-3713-3192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

BioinformaticsCommand-line toolFile processingSet compute

Identifiers

PMID40641639

DOI10.1007/s42994-025-00207-6

PMCPMC12237833

What Socratic holds

Textmetadata

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.