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Vartika A Agrawal

from Cambridge, MA
Age ~33
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Connected to:
Aashutosh Agrawal, 40Abha Agrawal, 58Ajitkumar P Agrawal, 53Alisha Agrawal, 33Anisha Agrawal, 30Anita Agrawal, 68Annie Agrawal, 39Aparna G Agrawal, 75Ashish Agrawal, 43Basheshar D Agrawal, 80

Vartika Agrawal Phones & Addresses

  • Cambridge, MA
  • White Plains, NY
  • Elmsford, NY
  • Atlanta, GA

Resumes

Resumes

Vartika Agrawal Photo 1

Research Scientist

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Location:
600 Huff Avenue Ext, Greensburg, PA 15601
Industry:
Hospital & Health Care
Work:
Georgia Institute of Technology Aug 2012 - Dec 2013
Graduate Research Assistant
Maulana Azad National Institute of Technology Bhopal Jul 2008 - May 2012
B.tech Bioinformatics
University of Southern California Jun 2011 - Aug 2011
Intern
Indian Institute of Science Education and Research, Bhopal Nov 2010 - Dec 2010
Intern
Philips Nov 2010 - Dec 2010
Research Scientist
Education:
Georgia Institute of Technology 2012 - 2013
Masters, Bioinformatics Maulana Azad National Institute of Technology 2008 - 2012
Bachelors, Bachelor of Technology, Bioinformatics
Skills:
Computational Biology
R
Systems Biology
Linux
Algorithms
Rna Seq
Perl
Matlab
Data Analysis
Life Sciences
Ngs
Html
Lifesciences
Science Education
Dna Seq
Bioinformatics
Sequence Analysis
Sql
Python
Research
Analysis
Microarray Analysis
Comparative Genomics
Vartika Agrawal Photo 2

Vartika Agrawal

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Vartika Agrawal Photo 3

Vartika Agrawal

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Publications

Us Patents

Method And Apparatus For Masking Clinically Irrelevant Ancestry Information In Genetic Data

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US Patent:
20200035332, Jan 30, 2020
Filed:
Apr 4, 2018
Appl. No.:
16/500459
Inventors:
- EINDHOVEN, NL
Vartika Agrawal - Cambridge MA, US
International Classification:
G16B 50/40
G16B 20/20
G06F 21/62
Abstract:
Methods and corresponding systems for anonymizing genetic data obtained from a patient are described. The ancestry data can be masked by identifying ancestry information marker (AIM) regions in the genetic data. Each AIM region can include including one or more single-nucleotide polymorphism (SNP) alleles associated with a population of patients belonging to a certain ancestry. Once the AIM regions are identified, one or more regions that include clinically relevant data can be identified. The clinically relevant data can be data having one or more gene variants associated with a specific disease or disorder. The genetic data can be anonymized the by masking or removing AIM regions that do not include clinically relevant data.

A Method And Apparatus For Collaborative Variant Selection And Therapy Matching Reporting

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US Patent:
20200020421, Jan 16, 2020
Filed:
Sep 29, 2017
Appl. No.:
16/336246
Inventors:
- EINDHOVEN, NL
Ronen Solomon - Eindhoven, NL
Mine Danisman-Tasar - Eindhoven, NL
Moran Bentzur - Petah Tiqwa, IL
Nadav Sharabi - Petah Tiqwa, IL
Sergey Yussim - Petah Tiqwa, IL
Alexander Ryan Mankovich - Boston MA, US
Vartika Agrawal - Cambridge MA, US
Julie Gu - Eindhoven, NL
Iliya Fridman - Petah Tiqwa, IL
Kostyantyn Volyanskyy - Larchmont NY, US
International Classification:
G16B 50/50
G16B 30/00
G16B 45/00
G16H 10/20
Abstract:
A clinical genomic data processing device includes at least one microprocessor (10) and a non-transitory storage medium (12) storing instructions to implement functions of the device. A user interface (26, 28) receives requests for execution of genomic workflows and to display output generated by the execution of the genomic workflows. A genomic workflow manager manages an asynchronous messaging queue (24) and manages the execution of the genomic workflows. Service providers (20) performs jobs associated with the genomic workflows. The genomic workflow manager communicates with the service providers by messages exchanged via the asynchronous messaging queue to manage the execution of the genomic workflows via jobs performed by the service providers. The service providers may include a genomic processing service provider (201), an annotation service provider (202), an aberration prioritization service provider (203), a reporting service provider (204), a clinical trial matching service provider (205), and so forth.

Sub-Population Detection And Quantization Of Receptor-Ligand States For Characterizing Inter-Cellular Communication And Intratumoral Heterogeneity

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US Patent:
20190071718, Mar 7, 2019
Filed:
Apr 7, 2017
Appl. No.:
16/093696
Inventors:
- EINDHOVEN, NL
Yee Him Cheung - Boston MA, US
Vartika Agrawal - Cambridge MA, US
Johanna Maria De Bont - Eindhoven, NL
Nevenka Dimitrova - Pelham Manor NY, US
International Classification:
C12Q 1/6851
C12Q 1/6869
C40B 40/08
Abstract:
A system for characterizing intercellular communication and heterogeneity in cancer tumors, and more particularly a method for detecting sub-populations and receptor-ligand states for providing predictive information in relation to cancer and cancer treatment is disclosed. The system comprises the steps of obtaining from a NGS sequencer, single-cell RNA-seq for a plurality of cells within a tumor, correlation with a plurality of data sets from a curated gene list of receptor-ligand pairs, normalizing their transcript abundance data, assigning states (e.g. 0,1,2,3) to each curated receptor-ligand pair in each cell (e.g. depending on {L:R}={0:0, 0:1, 1:0, 1:1}), thereby forming a matrix of receptor-ligand states, extracting sub-groups from the matrix that are not invariant and applying unsupervised clustering methods to identifying sub-clusters, identifying sub-populations within the set based on pair-wise distances between individual cells and similarity of cellular transcriptomes, identifying expressed ligands and receptors across the sub-populations, cross-referencing against the curated set of receptor-ligand pairs and providing a visually display the results by a mapping module for the clinician. The method can be used to study intercellular communication to elicit the etiology of diseases, and can be used to measure the disruption of intercellular communication to diagnose similarly disrupted disease patterns across patients.

Methods And Systems For Visualizing Gene Expression Data

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US Patent:
20170286597, Oct 5, 2017
Filed:
Aug 17, 2015
Appl. No.:
15/507275
Inventors:
- EINDHOVEN, NL
NEVENKA DIMITROVA - PELHAM MANOR NY, US
VARTIKA AGRAWAL - WHITE PLAINS NY, US
NILANJANA BANERJEE - ARMONK NY, US
International Classification:
G06F 19/26
G06F 19/20
G01N 33/50
C12Q 1/68
G01N 33/48
Abstract:
Methods and systems for visualizing gene expression data in a way that permits the comparison of different patient groups to facilitate medical applications, including cancer diagnostics and treatment planning, particularly breast cancer. The method organises gene expression data for at least one patient into a plurality of windows of a specified size, calculates an average RSEM score for all of the genes in each window and presents the average RSEM scores in a two-dimensional array, wherein one axis organises the windows by patient and the other axis organises the windows by sequence.
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Vartika A Agrawal from Cambridge, MA, age ~33 Get Report