ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies.

ABSTRACT: Label-free quantification (LFQ) with a specific and sequentially integrated workflow of acquisition technique, quantification tool and processing method has emerged as the popular technique employed in metaproteomic research to provide a comprehensive landscape of the adaptive response of microbes to external stimuli and their interactions with other organisms or host cells. The performance of a specific LFQ workflow is highly dependent on the studied data. Hence, it is essential to discover the most appropriate one for a specific data set. However, it is challenging to perform such discovery due to the large number of possible workflows and the multifaceted nature of the evaluation criteria. Herein, a web server ANPELA (https://idrblab.org/anpela/) was developed and validated as the first

SUBMITTER: Tang J 

PROVIDER: S-EPMC7299298 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature