Author

Praveen Mathur

SMS Medical CollegeORCID 0009-0003-9795-2744Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-exome sequencing· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Organism:human· 1

Frequent Co-Authors

Krishna Mohan MedicherlaiD· 2 shared Prashanth SuravajhalaiD· 2 shared Ashwani Kumar Mishra· 1 shared Narendra Kumar MeenaiD· 1 shared Sonal GuptaiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Krishna Mohan MedicherlaORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintDec 10, 2019

Whole exome-trio analysis reveals rare variants associated with Congenital Pouch Colon

Sonal Gupta, Praveen Mathur, Ashwani Kumar Mishra…·Prashanth Suravajhala

The paper identifies rare de novo mutations in CPC patients using whole exome sequencing and highlights candidate genes associated with the disorder.

2 citations

humanwhole-exome sequencing

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BioinformaticsBIO-PROTOCOLPeer-reviewedJan 1, 2018

A Bioinformatics Pipeline for Whole Exome Sequencing: Overview of the Processing and Steps from Raw Data to Downstream Analysis

Narendra Kumar Meena, Praveen Mathur, Krishna Mohan Medicherla, Prashanth Suravajhala

This paper describes a bioinformatics pipeline for whole exome sequencing, detailing processing steps from raw data to variant analysis and comparing variant callers like GATK and VarScan.

23 citations

whole-exome sequencingstatistical model

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