about
Characterization of chemically induced liver injuries using gene co-expression modulesSystems level analysis and identification of pathways and networks associated with liver fibrosisDOVIS: an implementation for high-throughput virtual screening using AutoDock2B-Alert Web: An Open-Access Tool for Predicting the Effects of Sleep/Wake Schedules and Caffeine Consumption on Neurobehavioral PerformanceThe physiology analysis system: an integrated approach for warehousing, management and analysis of time-series physiology data.A high-throughput pipeline for designing microarray-based pathogen diagnostic assays.In silico microarray probe design for diagnosis of multiple pathogens.A high-throughput pipeline for the design of real-time PCR signatures.Large-scale interaction effects reveal missing heritability in schizophrenia, bipolar disorder and posttraumatic stress disorder.Data-driven prediction of adverse drug reactions induced by drug-drug interactions.AGeS: a software system for microbial genome sequence annotation.DBSecSys: a database of Burkholderia mallei secretion systems.Genotype distribution-based inference of collective effects in genome-wide association studies: insights to age-related macular degeneration disease mechanism.DBSecSys 2.0: a database of Burkholderia mallei and Burkholderia pseudomallei secretion systemsPrehospital heart rate and blood pressure increase the positive predictive value of the Glasgow Coma Scale for high-mortality traumatic brain injury.DOVIS 2.0: an efficient and easy to use parallel virtual screening tool based on AutoDock 4.0.An Integrated Docking Pipeline for the Prediction of Large-Scale Protein-Protein InteractionsAccelerating Biomedical Research in Designing Diagnostic Assays, Drugs, and Vaccines
P50
Q28543001-294EEC77-339A-48F0-9385-B8C74CDCB4CAQ28544814-EF0E31C3-D46A-4041-BAC5-D85A6427E93EQ30481462-07CBC314-5B62-4EC0-9BEA-C304DAA37415Q30489852-CFC9CF0F-E944-4F7B-9AD7-C4D5FF73D1D7Q31099026-50F3CEC3-ACCE-4652-86E0-6772B76CD105Q33327576-2DF1E1FC-0FA5-41D7-9B31-88FABCA051ADQ33378352-5AE8CBE3-9468-4463-9946-AAB8A6BEA52EQ33614315-C5D131EA-DF25-441C-ABC7-D46DF35E3E24Q33635688-3750E59F-F37A-46E9-ACF5-8203B4A85BF4Q33781632-E307A0EC-DA21-4697-84D1-8E089937735DQ33847815-81FFE4BC-9209-4FF1-8438-EFC5263B053EQ33955395-117BE944-CE2F-4083-943F-189FD0EAA570Q36117265-4B47B09E-B241-49F2-9D57-B0F4F354A3E2Q36138787-83DD46F0-F5DC-4CEC-A5ED-5ED7A557764BQ38393578-2E62CEBA-BA29-4B63-978F-CB517EB847EAQ42702928-AD6CEFD1-B213-4156-89C4-BE6B12A7EEB0Q62051692-EC4F5857-5D04-4672-AF63-4E70F1A1F4ABQ62051697-54D5148C-CA9F-4D79-A3D3-9D424B12E98D
P50
description
onderzoeker
@nl
researcher ORCID: 0000-0002-9470-6682
@en
name
Kamal Kumar
@ast
Kamal Kumar
@en
Kamal Kumar
@es
Kamal Kumar
@nl
Kamal Kumar
@sl
কমল কুমার
@bn
type
label
Kamal Kumar
@ast
Kamal Kumar
@en
Kamal Kumar
@es
Kamal Kumar
@nl
Kamal Kumar
@sl
কমল কুমার
@bn
prefLabel
Kamal Kumar
@ast
Kamal Kumar
@en
Kamal Kumar
@es
Kamal Kumar
@nl
Kamal Kumar
@sl
কমল কুমার
@bn
P214
P106
P214
P31
P496
0000-0002-9470-6682
P7859
lccn-n2005205379