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
Data-Centricity: A foundation for superior ML models in biomedical omics data
by Shruti Mehrotra
Multi-omics analysis of the gut microbiome predicts liver tissue damage in NAFLD patients
Gemma: A treasure trove for genomics data gee(q)s
by Malavika Srikanth
Dataset of the week — GSE67918
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
CITE-seq: The future of single-cell RNA sequencing analysis
by Kriti Karn
Say no to data d(u)mps with DMP
Achieving FAIR Data
by Pawan Verma
Data Studio – Make creating, customizing, and sharing your analysis a breeze
by Surbhi Poddar
Untargeted Metabolomics: 5 problems, 1 solution
by Manmeet Dayal, Richa Mudgal
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
AskGEO: Tool For Recommending GEO Studies
by Saksham Malhotra, Manmeet Dayal
Top 10 Latest Single-cell Atlases for Normal Tissues
by Vipul Jain
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
Data-driven target identification using public datasets
by Soumya Luthra
Bioinformatics & drug development: Then and now
by Abhilasha Sinha
Will I ever understand what p-value really means?
Big Data driven drug-discovery
Story of a Gene: Making Sense of the Random Errors of Life
Knowledge Repo for Data Science
From Fighter Planes to Omics: Why Iterate?
by Raghav Sehgal, Phani Mahesh
Principal Component Analysis on Big data
by Raghav Sehgal, Tushar Chabbra
Using RuleBender To Calculate Mole Fractions In Isotope Labelling Experiments
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