Here you'll find easy-to-understand and actionable insights to help your company improve its data management.
IDEATE-ing for the Future
by Shefali Lathwal, Shashank Jatav, Abhishek Sinha
Gemma: A treasure trove for genomics data gee(q)s
by Malavika Srikanth
The Invisible Cohorts of Biomedical Research
by Malavika Srikanth, Shruti Srinivasan
Dataset of the week — MTBLS726
Dataset of the week — GSE152418
4 reasons why we need better Mass Spec software
by Manmeet S. Dayal
Dataset of the week — GSE157852
Imaging the transcriptome with Spatial Transcriptomics
Deciphering the impact of obesity on colorectal cancer severity
by Maheswari K., Ayush Praveen, Manmeet S. Dayal
Dataset of the week – GSE150392
Dataset of the week – GSE108844
by Malavika Srikanth, Manmeet S. Dayal
Use your favorite apps on ‘clean’ multi-omics data
by Jainik Dedhia, Manmeet S. Dayal
Challenges in data sharing in biomedical research
Deep learning takes on the fight against cancer
Proteogenomics: A new frontier in breast cancer therapy
Say no to data d(u)mps with DMP
Achieving FAIR Data
by Pawan Verma
Supercharge your COVID-19 Research with the elixir of Free Data
by Manmeet Dayal, Kriti
Opportunities in Biological Big Data (BBD)
by Abhishek Jha, Naimish Patel, and Aarushi Arora
Are you being FAIR to your data ?
by Swetabh Pathak, Avi Ma’ayan, and Shruti Srinivasan
Drug discovery in the post-Corona world
by Abhishek Jha
Key to industrializing drug discovery process: Interpreting Omics Big Data – 3
by Shashank Jatav
Key to industrializing drug discovery process: Interpreting Omics Big Data – 2
Key to industrializing drug discovery process: Interpreting Omics Big Data – 1
Knowledge repo, continuous integration and a watchdog for reproducible data science | Elucidata
by Saksham Malhotra
Will I ever understand what p-value really means?
Big Data driven drug-discovery
by Soumya Luthra
Principal Component Analysis on Big data
by Raghav Sehgal, Tushar Chabbra
Using RuleBender To Calculate Mole Fractions In Isotope Labelling Experiments
by Vipul Jain
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