Detects haplotype blocks that simultaneously use information about linkage-disequilibrium (LD) decay between blocks and the diversity of haplotypes within blocks. By use of phased single-nucleotide polymorphism (SNP) data, DBlocks partitions a chromosome into a series of adjacent, nonoverlapping blocks. The partition is made by choosing among a family of Markov models for block structure in a chromosomal region. Using computer simulations, MDBlocks can reliably locate the boundaries between blocks at regions of rapid LD decay.
An R package that can handle family and population samples and implements a wide range of region-based association methods including burden tests, functional linear models, and kernel machine-based regression. FREGAT can be used in genome/exome-wide region-based association studies of quantitative traits and candidate gene analysis. FREGAT offers many useful options to empower its users and increase the effectiveness and applicability of region-based association analysis.
Provides an approach dedicated to gene-based association testing. KMgene is an R package that extends sequence kernel association test (SKAT)-type methods for complex traits. The application is able to perform multiple association tests including: (i) continuous family, (ii) binary family, (iii) continuous multivariate, (iv) continuous multivariate family, (v) continuous longitudinal, (vi) and survival.
An efficient tool for region/gene association analysis of quantitative traits in samples of related individuals. This software implements a score-based variance component test to assess the association of a given set of single nucleotide polymorphisms with a continuous phenotype. We compared the performance of our software with that of two existing software for family-based sequence kernel association testing, namely, ASKAT and famSKAT, using the Genetic Analysis Workshop 17 family sample. Results demonstrate that FFBSKAT is several times faster than other available programs. In addition, the calculations of the three-compared software were similarly accurate. The FFBSKAT package is fast, user-friendly, and provides an easy-to-use method to perform whole-exome kernel machine-based regression association analysis of quantitative traits in samples of related individuals.
A region-based association test for familial data under functional linear models. famFLM increases the power of regional association analysis of quantitative traits compared with burden-based and kernel-based methods for the majority of the scenarios.
Investigates genetic variants association with quantitative traits in family data. fanSKAT consists of an extension of sequence kernel association test (SKAT). It can be applied to quantitative traits with unknown or known heritability. This tool can be combined with the collapsing of some very rare genetic variants such as singletons. It is useful for common variant analysis, combined common and rare variant analysis or conditional association analyses.
Produces intragenic or intergenic windows, introns, exons, transcription start sites (TSS) and others from an annotation. Pyicoregion generates exploratory region files like arbitrary length or sliding windows in the exons, introns, intragenic spaces and TSS of any genome in existence. This tool is one of the six modules composing the Pyicoteo suite.
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Eduardo Eyras Group leader in Computational RNA Biology
Pompeu Fabra University
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/).