Venkatesh Kancherla, Phd Email & Phone Number
Who is Venkatesh Kancherla, Phd? Overview
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Venkatesh Kancherla, Phd is listed as Bioinformatics Specialist at Kinderspital Zürich, a with 1206 employees, based in Epalinges, Vaud, Switzerland. AeroLeads shows a matched LinkedIn profile for Venkatesh Kancherla, Phd.
Venkatesh Kancherla, Phd previously worked as Bioinformatician at Haya Therapeutics and Postdoctoral Researcher at Chuv | Lausanne University Hospital. Venkatesh Kancherla, Phd holds Doctor Of Philosophy - Phd, Computational Biology from University Of Basel.
Email format at Kinderspital Zürich
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About Venkatesh Kancherla, Phd
Experienced Researcher with a demonstrated history of working in the hospital & health care industry. Skilled in R, Shell scripting, Bioinformatics, RNA Sequencing, and Cancer Research. Strong arts and design professional with a Master's degree focused in Life Science Informatics from the University of Bonn and PhD in Bioinformatics from the University of Basel.
Listed skills include Bioinformatics, R, Genomics, Computational Biology, and 16 others.
Venkatesh Kancherla, Phd's current company
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Venkatesh Kancherla, Phd work experience
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Bioinformatician
Current
Postdoctoral Researcher
My research was focused on the molecular characterization of peripheral T-cell lymphomas, integrating clinicopathological correlations. My responsibilities included quality control and processing of RNA-seq data, detection of fusion genes from RNA-seq, and investigating their role in the development of peripheral T-cell lymphomas.
Doctoral Researcher
PhD in Bioinformatics was focused on understanding lncRNA's role in Triple Negative Breast Cancer (subtype of Breast Cancer)Assisted biologists and clinicians in collaborative projects with statistical and next-generation sequencing analyses in different cancer types.
Bioinformatics Analyst
Worked on a project at ProfileXpert (Genomics and Microgenomics Platform of Claude Bernard University Lyon1) "Cellular, molecular and genomic investigation of chronic environmental exposure of low doses pollutants in a tumor progression model of breast cancer" had the objective to study the impact of bisphenol A in tumor progression. The work consisted to analyze transcriptome by using 1) RNA-seq data (NextSeq 500, Illumina) and 2) DNA methylation obtained from the same samples and using data from beadchip (Infinium methylationEPIC beadchip (Illumina), 3) to integrate transcriptomic and methylation data to understand the relationship between deregulated genes, methylation and exposure to toxic.
Bioinformatics Analyst
Worked on different RNA-Seq Data Analysis Projects at ViroScan3D (a spin off of ProfileXpert) works in a very close relationship with ProfileXpert.Responsibilities in this team include:• Analyzing client data• Quality control of the data and comparing of the results with reference data • Generating high-quality presentations and reporting for the clients
Master Thesis Student
Worked on a Project "To estimate the excess chemical potential of biologically relevant ionic solutions for use in Grand Canonical Monte Carlo Simulations".
Student Research Assistant
Worked on a project “Molecular-genetic analysis of trade offs between vegetativegrowth and flowering in natural populations of perennial Arabis alpina”.Performed Different laboratory works like: Polymerase chain reaction Electrophoresis
Junior Research Associate
Worked as Curator on GOSTAR online Scientific Database. Largest SAR Database to be a manually curated and contains all the published and patented inhibitors against most biological targets and their associated SAR data. It contains compounds from both Discovery and Development along with associated SAR, ADME, Toxicity and Pharmacokinetic data.
Colleagues at Kinderspital Zürich
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Tenzin Dolkar Sesung
Colleague at Kinderspital ZürichDübendorf, Zurich, Switzerland
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Sibylle Heldstab
Colleague at Kinderspital ZürichZell, Zurich, Switzerland
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Peter Kushaev
Colleague at Kinderspital ZürichStäfa, Zurich, Switzerland
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Antonio Giulio Gennari
Colleague at Kinderspital ZürichZurich, Switzerland
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Martina Büsser
Colleague at Kinderspital ZürichSwitzerland
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Martin Poms
Colleague at Kinderspital ZürichZurich, Switzerland
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Marisa Oliveira
Colleague at Kinderspital ZürichZurich, Switzerland
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Angeline Messerli
Colleague at Kinderspital ZürichWil, St Gallen, Switzerland
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Nicole Mauron
Colleague at Kinderspital ZürichZurich, Switzerland
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Nemanja Ilic
Colleague at Kinderspital ZürichFällanden, Zurich, Switzerland
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Venkatesh Kancherla, Phd education
Doctor Of Philosophy - Phd, Computational Biology
Master'S Degree, Life Science Informatics
Bachelor'S Degree, Bioinformatics
Frequently asked questions about Venkatesh Kancherla, Phd
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What company does Venkatesh Kancherla, Phd work for?
Venkatesh Kancherla, Phd works for Kinderspital Zürich.
What is Venkatesh Kancherla, Phd's role at Kinderspital Zürich?
Venkatesh Kancherla, Phd is listed as Bioinformatics Specialist at Kinderspital Zürich.
Where is Venkatesh Kancherla, Phd based?
Venkatesh Kancherla, Phd is based in Epalinges, Vaud, Switzerland while working with Kinderspital Zürich.
What companies has Venkatesh Kancherla, Phd worked for?
Venkatesh Kancherla, Phd has worked for Kinderspital Zürich, Haya Therapeutics, Chuv | Lausanne University Hospital, Universitätsspital Basel, and Université Claude Bernard Lyon 1.
Who are Venkatesh Kancherla, Phd's colleagues at Kinderspital Zürich?
Venkatesh Kancherla, Phd's colleagues at Kinderspital Zürich include Tenzin Dolkar Sesung, Sibylle Heldstab, Peter Kushaev, Antonio Giulio Gennari, and Martina Büsser.
How can I contact Venkatesh Kancherla, Phd?
You can use AeroLeads to view verified contact signals for Venkatesh Kancherla, Phd at Kinderspital Zürich, including work email, phone, and LinkedIn data when available.
What schools did Venkatesh Kancherla, Phd attend?
Venkatesh Kancherla, Phd holds Doctor Of Philosophy - Phd, Computational Biology from University Of Basel.
What skills is Venkatesh Kancherla, Phd known for?
Venkatesh Kancherla, Phd is listed with skills including Bioinformatics, R, Genomics, Computational Biology, Data Analysis, Life Sciences, Rnaseq, and Systems Biology.
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