SPDE: a multi-functional software for sequence processing and data extraction

Dong Xu; Zhuchou Lu; Kangming Jin; Wenmin Qiu; Guirong Qiao; Xiaojiao Han; Renying Zhuo

doi:10.1093/bioinformatics/btab235

SPDE: a multi-functional software for sequence processing and data extraction

Bioinformatics. 2021 Oct 25;37(20):3686-3687. doi: 10.1093/bioinformatics/btab235.

Authors

Dong Xu^{1

2}, Zhuchou Lu^{1

2}, Kangming Jin^{1

2}, Wenmin Qiu^{1

2}, Guirong Qiao^{1

2}, Xiaojiao Han^{1

2}, Renying Zhuo^{1

2}

Affiliations

¹ State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing 100091, China.
² Key Laboratory of Tree Breeding of Zhejiang Province, The Research Institute of Subtropical of Forestry, Chinese Academy of Forestry, Hangzhou 311400, China.

PMID: 33848326
DOI: 10.1093/bioinformatics/btab235

Abstract

Summary: Sequence Processing and Data Extraction (SPDE) has eight modules comprising 100 basic functions ranging from sequence extraction, format conversion to data reorganization and mining, and all of these functions can be completed by point-and-click icons. SPDE also incorporates eight public analyses tools; thus, SPDE is a comprehensive bioinformatics platform for big biological data analysis.

Availability and implementation: SPDE built by Python can run on 32-bit, 64-bit Windows and MacOS systems. It can be downloaded from https://github.com/simon19891216/SPDEv1.2.git.

Supplementary information: Supplementary data are available at Bioinformatics online.

Abstract

Grants and funding