Unlock your biological data

?

Try: RNA sequencing CRISPR Genomic databases DESeq

Reproducibility

Promoting standards in biological research

Most research advances are built upon pre-existing data and findings. This paradigm implies that researchers must be able to reproduce data on which they base their own research. Yet a number of promising pre-clinical researches do not go into clinics because of the inability to reproduce the work (Freedman and Inglese). For this, it has become essential to set standards and good practices in life sciences research. Initiatives promoting standards in biology A number of initiatives have been created to set and promote standards in biology research. Some society are proposing standards to cover all areas of basic research and clinics, while others are focusing on specific research fields. Here are some of the most advanced organizations which develop standards …

Read this post
comment
0

How to make a software more robust

Scientific quality and reproducibility rely on the traceability of the experimental data, statistical methods and bioinformatics tools used to generate results. Being unable to replicate and validate scientific results is unfortunately very common. This reproducibility crisis as named by Monya Baker considerably slows down the research progress and affects all of the fields including chemistry, biology and medicine.   Best practices are crucially needed today to improve reproducibility of data analysis and hence to make software robust enough to be run by any user.   Indeed, most of the software tools used to produce scientific results and publications are prototypes and lack robustness. Usually designed and run by a single person in a specific computing environment, codes may be very …

Read this post
comment
0
< Previous 1 Next >

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.