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★★★★★

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USD 25 /hr

★★★★★

☆☆☆☆☆

Hire Dr. Kalaivani K.

India

USD 25 /hr

Gene expression analysis, WGCNA gene network, NGS data analysis, R programming, bioinformatic analysis

Profile Summary

I am having knowledge in areas such as cancer research, microarray data analysis, gene coexpression network, NGS genome sequence data and meta-analysis of genomic data. Gene expression analysis like DEG (Differentially expressed genes), WGCNA - gene network, Survival plot, univariate and multivariate screening. Very Good day, What does the genome sequence tells you? Do you have huge data of genome sequence and are you interested to know the genotype details of it? We provide you in depth multidimensional genome sequence analysis to get the actual genotype information and novel facts of the genome sequence of your study. We can provide you Genomic Analysis Sequencing data QC Reference genome mapping SNP/InDel/SV/CNV calling Advanced analysis upon request De novo assembly, and reference genome mapping

Subject Matter Expertise

• ★ Genetics
• ★ Bioinformatics
• ★ Cancer Research
• ☆ R

Services

• Research
• Data & AI

Research Market Research, Meta-Research, Gap Analysis, Systematic Literature Review

Data & AI Predictive Modeling

Work Experience

NPDF-DST-SERB

Vellore Institute of Technology University

June 2017 - June 2019

National Post doctoral Fellow

Vellore Institute of Technology

June 2017 - May 2019

Education

Genetics

Madurai Kamaraj University

May 2010 - May 2017

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Kalaivani Kalamohan and Paramasamy Gunasekaran and Syed Ibrahim(2019). Gene coexpression network analysis of multiple cancers discovers the varying stem cell features between gastric and breast cancer . Meta Gene. 21. p. 100576. Elsevier {BV}

Kalaivani Kalamohan and Dhanasekaran Rathinam and Ponmathi Panneerpandian and Kumaresan Ganesan(2017). Coexpressed modular gene expression reveals inverse correlation between immune responsive transcription and aggressiveness in gastric tumours . Cancer Immunology, Immunotherapy. 66. (7). p. 941--954. Springer Science and Business Media {LLC}

Kalaivani Kalamohan and Jayaprakash Periasamy and Divya Bhaskar Rao and Georgina D. Barnabas and Srigayatri Ponnaiyan and Kumaresan Ganesan(2014). Transcriptional coexpression network reveals the involvement of varying stem cell features with different dysregulations in different gastric cancer subtypes . Molecular Oncology. 8. (7). p. 1306--1325. Wiley