Abstract
Scientific publications should provide sufficient detail in terms of methodology and presented data to enable the community to reproduce the methodology to generate similar data and arrive at the same conclusion, if an identical sample is provided for analysis. The advent of high-throughput methods in biological experimentation impose some unique challenges both in data presentation in classical print format, as well as in describing methodology and data analysis in sufficient detail to conform to good publication practice. To facilitate this process, Proteome Science is adopting a set of methodology and data presentation guidelines to enable both peer reviewers, as well as the scientific community, to better evaluate high-throughput proteomic studies.
Highlights
Most scientific publications included a detailed methodology section that provided details on source of reagents, information, such as batch or lot numbers, and a description of methodology that would enable another research group to follow the same procedures
The advent of high-throughput methods in biological experimentation have imposed some unique challenges both in data presentation in classical print format, as well as in describing the methodology and data analysis workflow in sufficient detail to conform to good publication practice
This especially is an issue with proteomic analyses conducted by mass spectrometry [1,2]
Summary
Most scientific publications included a detailed methodology section that provided details on source of reagents, information, such as batch or lot numbers, and a description of methodology that would enable another research group to follow the same procedures. The advent of high-throughput methods in biological experimentation have imposed some unique challenges both in data presentation in classical print format, as well as in describing the methodology and data analysis workflow in sufficient detail to conform to good publication practice.
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