in silico Concept

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Overview

research area of

• Himabindu, Kudapa, Scientist- Genomics & Molecular Breeding, ICRISAT, ICRISAT
• Kohli, Ajay, Senior Scientist, IRRI, IRRI
• Kumar, Anil, Scientific Officer, ICRISAT, CIMMYT
• Kumar, Arvind, Senior Scientist, IRRI, ICRISAT
• Shah, Trushar, Integrated Breeding Platform (IBP) Hub Manager, IITA, CIMMYT
• Sharma, Mamta K, Pr. Scientist (Leg Path), TL-ICM, ICRISAT, ICRISAT
• Singh, Uma, CIP, CIP
• Srivastava, Rakesh K, Principal Scientist (Genomics & Trait Discovery), ICRISAT, ICRISAT
• TOLEDO, Fernando Henrique Ribeiro B., Agricultural Statistics/Biometrics, CIMMYT, CIMMYT

subject area of

• A Comprehensive Transcriptome Assembly of Pigeonpea (Cajanus cajan L.) using Sanger and Second-Generation Sequencing Platforms
• Action of multiple intra-QTL genes concerted around a co-localized transcription factor underpins a large effect QTL
• Computer simulation in plant breeding
• Expression of drought responsive genes in pigeonpea and in silico comparison with soybean cDNA library
• Fine mapping of a grain weight quantitative trait locus, qGW6, using near isogenic lines derived from Oryza rufipogon IRGC105491 and Oryza sativa cultivar MR219.
• Genome wide analysis of NLP transcription factors reveals their role in nitrogen stress tolerance of rice.
• Genome-Wide Identification and Analysis of Arabidopsis Sodium Proton Antiporter (NHX) and Human Sodium Proton Exchanger (NHE) Homologs in Sorghum bicolor.
• Genome-wide analysis of the cellulose synthase-like (Csl) gene family in bread wheat (Triticum aestivum L.).
• Genome-wide identification and characterization of the aquaporin gene family in Sorghum bicolor (L.)
• Genome-wide in silico analysis of dehydrins in Sorghum bicolor , Setaria italica and Zea mays and quantitative analysis of dehydrin gene expressions under abiotic stresses in Sorghum bicolor
• Genomic paleontology provides evidence for two distinct origins of Asian rice (Oryza sativa L.)
• Identification of a non-redundant set of 202 in silico SSR markers and applicability of a select set in chickpea (Cicer arietinum L.)
• Identification of the Hevea brasiliensis AP2/ERF superfamily by RNA sequencing
• In Silico Characterization and Structural Modeling of Dermacentor andersoni p36 Immunosuppressive Protein
• Integrated transcriptome, small RNA and degradome sequencing approaches provide insights into Ascochyta blight resistance in chickpea.
• KASPspoon: an in vitro and in silico PCR analysis tool for high-throughput SNP genotyping
• Meta-analysis of constitutive and adaptive QTL for drought tolerance in maize
• Molecular Analysis of Disease-Responsive Genes Revealing the Resistance Potential Against Fusarium Wilt (Fusarium udum Butler) Dependent on Genotype Variability in the Leguminous Crop Pigeonpea.
• Molecular characterization and expression analysis of pearl millet plasma membrane proteolipid 3 (Pmp3) genes in response to abiotic stress conditions
• Molecular characterization of EcCIPK24 gene of finger millet (Eleusine coracana) for investigating its regulatory role in calcium transport.
• New Putative Antimicrobial Candidates: In silico Design of Fish-Derived Antibacterial Peptide-Motifs
• Protein SUMOylation and plant abiotic stress signaling: in silico case study of rice RLKs, heat-shock and Ca(2+)-binding proteins.
• Pyramiding of thermosensitive genetic male sterility (TGMS) genes and identification of a candidate tms5 gene in rice
• RNA-Seq analysis and development of SSR and KASP markers in lentil (Lens culinaris Medikus subsp. culinaris)
• Stochastic Simulation of Four Linear Phenotypic Selection Indices
• Survey sequencing and in-silico development and validation of genomic SSR markers in Indian dill seed
• T cell epitope identification for bovine vaccines: an epitope mapping method for BoLA A-11
• The Role of Microsatellites in Streptophyta Gene Evolution.
• Transcriptional profiling and in silico analysis of Dof transcription factor gene family for understanding their regulation during seed development of rice Oryza sativa L.
• isqg: A Binary Framework for in Silico Quantitative Genetics