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Category: Data Science

This is the gem of Elucidata. All posts related to our data science team and their knowledge resides here. We also feature data science case studies and whitepapers here.

Big Data, Data Science Posted onMarch 27, 2018September 27, 2019

Big Data driven drug-discovery

With the advances in next-generation sequencing technologies over the past decade, genomics has gradually caught up to the big data giants – YouTube, Amazon, and […] Read More

Elucidata gene Story
Bioinformatics, Data Science Posted onFebruary 18, 2018September 27, 2019

Story of a Gene: Making Sense of the Random Errors of Life

Introduction: In 1990, an ambitious project was launched in the USA to sequence the human DNA and identify, both functionally and structurally, genes that makeup […] Read More

Elucidata Knowledge Repo
Bioinformatics, Data Science Posted onJanuary 30, 2018September 27, 2019

Knowledge Repo for Data Science

One of the key issues that data scientists face is keeping track of the results, and sharing the progress of the project among their colleagues. […] Read More

Elucidata Fighter Planes to Omics
Bioinformatics, Data Science Posted onNovember 28, 2017September 27, 2019

From Fighter Planes to Omics: Why Iterate?

You may have probably read Boyd’s law of iteration[1].  If you haven’t, already, have a look at it. In Roger’s words[2]: “In analyzing complexity, fast […] Read More

Elucidata Big Data
Big Data, Data Science Posted onSeptember 23, 2017September 27, 2019

Principal Component Analysis on Big data

Problem Statement Principal component analysis (PCA) is a fairly common statistical technique used to reduce the dimensions of data containing a large set of interrelated variables. […] Read More

Big Data, Data Science Posted onJuly 13, 2016September 27, 2019

Using RuleBender To Calculate Mole Fractions In Isotope Labelling Experiments

by Sini Nagpal Many labs continue to develop experimental and computational methods to characterize the flow through metabolic enzyme(s) in cellular context [Weitzel et al].

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