Serves for the functional analysis of gene expression and genomic data. Babelomics offers the possibility to explore the effects of alteration in gene expression levels or changes in genes sequences within a functional context. It provides user-friendly access to a full range of methods that cover: (1) primary data analysis; (2) a variety of tests for different experimental designs; and (3) different enrichment and network analysis algorithms for the interpretation of the results of such tests in the proper functional context.
Allows to store, analyse and manage data. CAPweb is a web tool, for bioinformatics analysis of comparative genomic hybridization (CGH) arrays. The software combines array normalization, quality control, breakpoint detection and biological interpretation of the results and also helps with data management. It allows user to choose the value of several parameters for filtering, spatial normalization and breakpoint detection.
An open-source, web-based, suite for the analysis of gene expression and aCGH data. Asterias implements validated statistical methods, and most of the applications use parallel computing, which permits taking advantage of multicore CPUs and computing clusters. Access to, and further analysis of, additional biological information and annotations (PubMed references, Gene Ontology terms, KEGG and Reactome pathways) are available either for individual genes (from clickable links in tables and figures) or sets of genes. These applications cover from array normalization to imputation and preprocessing, differential gene expression analysis, class and survival prediction and aCGH analysis.
A comprehensive array-based comparative genomic hybridization analysis workflow, integrating computational improvements and functionalities specifically designed for precision medicine. rCGH ensures the traceability of the entire process of individual samples and provides interactive visualization tools allowing to better interpret—and potentially reprocess—genomic profiles, individually. The web-server application can assist oncologists in reviewing copy-number alterations in genomic profiles and identifying matched therapeutic orientations. rCGH supports the major microarray platforms and facilitates profiles interpretation and decision-making through sharable interactive visualizations.
Permits to conduct comparative genomic hybridization (CGH) array analysis. cghRA is based on a mixture of normal distributions, as several other algorithms. It extends many Rgb classes and is fully compliant. Parsing functions can be customized to permits to the software to directly read files from other manufacturers. It can perform several segmentations with distinct parameters and select the copy number model that seems to fit best to the data.
Allows analysis of Affymetrix gene expression microarrays and single nucleotide polymorphism (SNP) microarrays. dChip is a microarray analysis software accessible to both biologists and data analysts through a friendly user interface. At the probe level, the model-based approach allows pooling information across multiple arrays and automatic probe selection to handle cross-hybridization and image contamination. High-level analysis in dChip includes comparing samples, hierarchical clustering, loss of heterozygosity (LOH) and copy number analysis of SNP arrays.
Unifies scientific workflows with graph databases for selecting relevant genes according to the evaluated biological systems. GeNNet is an integrated transcriptome analysis platform that includes pre-loaded biological data, pre-processes raw microarray data and conducts a series of analyses including normalization, differential expression inference, clusterization and geneset enrichment analysis. This platform integrates the analytical process of transcriptome data with graph database. It provides a comprehensive set of tools that would otherwise be challenging for non-expert users to install and use.
Allows to import, QC and analysis of Illumina Infinium genotyping arrays. Argyle serves to provide tools for non-expert users to perform quality checks and exploratory analyses of genotyping data. It consists of a suite of quality-control functions, normalization procedures, and utilities for visually and statistically summarizing such data. Also, detailed vignettes demonstrating common use cases are included as supporting information.
A package to analyze small to extremely large Affymetrix datasets. Aroma.affymetrix allows to analyze any number of arrays of various chip types, e.g. 10,000s of expression arrays, SNP chips, exon arrays and so on. This software does not require any normalisation step and does not summarise the probe intensities.
An application toolbox for analysis and visualization of microarray-comparative genomic hybridization (array-CGH or aCGH) data which is based on Matlab. Full process of aCGH analysis, from denoising of the raw data to the visualization of the desired results, can be obtained via Mat-aCGH straight-forwardly. The main advantage of this toolbox is that it is collection of recent well-known statistical and information theoretic methods and algorithms for analyzing aCGH data. More importantly, the proposed toolbox is developed for multisample analysis which is one of the current challenges in this area. Mat-aCGH is convenient to apply for any format of data, robust against diverse noise and provides the users with valuable information in the form of diagrams and metrics. Therefore, it eliminates the needs of another software or package for multisample aCGH analysis.
Allows visualization and analysis of data generated on Illumina array platforms. GenomeStudio is a data analysis tool that provides three modules: (1) Genotyping Module for the analysis of single nucleotide polymorphism (SNPs) and copy number variations (CNVs) data and detection of sample outliers, (2) Gene Expression Module for the detection of cytosine methylation at single-base resolution and identification of methylation signatures across the entire genome, and (3) Polyploid Genotyping Module for the analysis of polyploid organism genotyping data.
Provides the premier enterprise solution for data content, framework and graphical user interface for omic and next-generation sequencing data analysis. Array Suite (Array Studio and Array Server) differs from standard desktop solutions or open source solutions, with Array Studio providing the graphical user interface for NGS and omic analysis and visualization and Array Server providing the enterprise back-end solution for project management, sample management and data storage.
Provides detection and reporting of copy number changes. oneClickCGH is a platform-independent array copy number analysis software compatible with data formats used by all major array comparative genomic hybridization (CGH) and single-nucleotide polymorphism (SNP) platforms. User can add sample or patient information, region annotation, interpretation comments and other kinds of useful records to the report. Detected copy number variations can also be added to report document and manually edited.
A versatile web server for the analysis and comparison of genomic copy number alterations in multiple samples from any species. waviCGH processes data generated by high density SNP-arrays, array-CGH or copy-number calls generated by any technique. waviCGH includes methods for pre-processing of the data, segmentation, calling of gains and losses, and minimal common regions determination over a set of experiments. The server is a user-friendly interface to the analytical methods, with emphasis on results visualization in a genomic context. Analysis tools are introduced to the user as the different steps to follow in an experimental protocol. All the analysis steps generate high quality images and tables ready to be imported into spreadsheet programs. Additionally, for human, mouse and rat, altered regions are represented in a biological context by mapping them into chromosomes in an integrated cytogenetic browser.
Provides a method for processing micro-arrays data. AccuTyping is a standalone software which gathers algorithms for performing channel normalization, low-signal filtering, background subtraction and genotype calls. The application also tests reproducibility between repeated assays and the accuracy by comparing the genotype calls from independent genotyping methods. The program can be applied to single or multiple datasets.
Gene fusion detection in Plants
Fusion transcripts (i.e., chimeric RNAs) resulting from gene fusions are well known in case of human. But, in plants, this phenomenon is not yet explored. We are planning to discover the fusion transcripts/gene fusions in different type of plants by using RNA-Seq datasets. Further, we are planning to understand the mechanism of gene fusion formation and significance of fusions in plants.
Whole genome and transcriptome sequencing data analysis of Plants
In this era of Next Generation Sequencing (NGS), there is huge amount of sequencing data available in the public domain. Any novel finding from these available datasets is major challenge for a computational biologist. We are interested in the analysis of whole genome and transcriptome sequencing data of different plants to fetch out the useful information from those datasets, with the help of bioinformatics tools. Currently, we are planning to study the gene clusters of secondary metabolite pathways in different plants.
Development of webservers, databases and computational pipelines for plant research
Development of database is necessary to compile and share the information with scientific community. We are dedicated to develop useful databases and webserver for plant research.
Another area of interest is to develop automated pipelines and tools for the analysis of high throughput genomics data, generated by NGS technologies.
Professional & Academic Background
Staff Scientist II (May 2017- present): National Institute of Plant Genome Research (NIPGR), New Delhi, India
Postdoctoral Research Associate (2015-2017): University Of Virginia, Charlottesville, VA, USA
Research Scientist (2014-2015): Sir Ganga Ram Hospital, New Delhi, India
PhD Bioinformatics (2009-2014): Bioinformatics Centre, Institute of Microbial Technology (IMTECH), Chandigarh under Jawaharlal Nehru University (JNU), New Delhi, India
M.Sc. Life Sciences (2007-2009): Jawaharlal Nehru University (JNU), New Delhi, India
B.Sc. Biotechnology (2004-2007): Jamia Millia Islamia (JMI), New Delhi, India
Awards and Fellowships
Junior and Senior Research Fellowship (2009-2014): Council of Scientific and Industrial Research (CSIR), New Delhi, India
GATE (Graduate Aptitude Test in Engineering): Qualified in years 2008 and 2009
Scientific Contributions/ Recognitions
Associate editor: Journal of Translational Medicine.
Editorial Board Member of Journal: Theoretical Biology and Medical Modelling.
Reviewer: PloS One, BMC Genomics, BMC Bioinformatics, BMC Biology, BMC Biotechnology, Frontiers in Physiology and several other journals.
Web Resources/ Databases (Developed/ Contributed)
A Platform for Designing Genome-Based Personalized Immunotherapy or Vaccine against Cancer (http://www.imtech.res.in/raghava/cancertope/)
GenomeABC: A webserver for benchmarking of genome assemblers. (http://crdd.osdd.net/raghava/genomeabc/).
Genomics web portal page. (http://crdd.osdd.net/raghava/genomesrs/).
Map/Alignment module of CancerDr: Cancer Drug Resistance Database. (http://crdd.osdd.net/raghava/cancerdr/).
Short reads and contigs alignment module of PCMDB: Pancreatic cancer methylation database. (http://crdd.osdd.net/raghava/pcmdb/).
Burkholderia sp. SJ98 database. (http://crdd.osdd.net/raghava/genomesrs/burkholderia/).
Rhodococcus imtechensis RKJ300 database. (http://crdd.osdd.net/raghava/genomesrs/rkj300/).
Genotrick: A pipeline for whole genome assembly and annotation of Genomes (http://crdd.osdd.net/raghava/genomesrs/genotrick/)
Development of Debian packages in OSDDlinux: A Customized Operating System for Drug Discovery. (http://osddlinux.osdd.net/).
A Web-Based Platform for Designing Vaccines against Existing and Emerging Strains of Mycobacterium tuberculosis. (http://crdd.osdd.net/raghava/mtbveb/).
☛ I am a DBT Certified bioinformatician (BINC, Govt. Of India) with deep interest in Genomics and next generation sequencing technologies. I have enjoyed my industry experience of 7+ years working on design, implementation and analysis of microarray data and high-throughput NGS data.
☛ I love the idea of automation and my passion for programming has motivated me to learn some of the top-notch programming languages like PERL, Python, bash and R. I have developed several programs required to analyze, manipulate or automate key steps in sequencing data analysis. Programming is so much fun!
☛ I am an avid learner and I often try to engage myself in online courses because I strongly believe that in a quickly evolving domain like bioinformatics, the only way to keep up the pace with is to keep learning, both within and outside the job hours.
☛ I support the concept of “open-source” and try to share as much as knowledge regarding bioinformatics and its scope with students. I have been formally certified as “lecturer” (CSIR-NET-JRF+LS, Govt. of India) and involved in providing bioinformatics knowledge sharing sessions and cross functional trainings to technical teams and graduate students.
☛ You can connect with me via gmail, LinkedIn or over a call to discuss ideas or if you need any guidance. Here are my contact details.
✉ [email protected]
✆ +91 966 22 55 385
▣ Linkedin: https://in.linkedin.com/in/lakhujanivijay
❝Everybody in this country should learn to program a computer, because it teaches you how to think❞
✍ Steve Jobs