­RISHI  ­BIOTECH 

[ BIO­-IT SERVICES & RESEARCH COMPANY ]

 

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Bioinformatics [022-40120576,info@rishibiotech.com] :


Genomics :
  • Biological sequence assembly and manipulation
  • Genome annotation and analysis
  • Biological sequence identification
  • Gene finding and characterisation
  • Comparative genomics: e.g. finding drug targets by comparing pathways from human and pathogen.
  • Biological systems analysis
  • Phylogenetic analysis (evolution of genes or proteins)
  • Characterisation of gene regulatory elements
  • Protein sequence annotation and characterization
  • Microarray data analysis
  • Drug Designing
  • Rational Drug Design

We provide custom analysis to suit your requirement and services in a number of areas including:

  • Automated Catalyst database updating standard
  • Datasheet Catalyst massively parallel database building and searching
  • Datasheet complete chemistry console
  • Ensemble docking and scoring
  • Grid integration for docking, scoring, and conformer generation



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  • ·Bisulfite Sequencing Service (Methyl-Seq)
  • ·Bisulfite-based DNA methylation sequencing
  • ·MeDIP Sequencing Service (MeDIP-Seq)
  • ·MeDIP-based DNA methylation sequencing
  • ·Methylation-Specific PCR
  • ·Robust PCR for smaller scale DNA methylation analysis
  • ·Global 5-mC Quantification
  • ·ELISA-based assay for quantitation of total methylated cytosine levels in DNA
  • ·hMeDIP Sequencing Service (hMeDIP-Seq)
  • ·Multi-base resolution 5-hmC sequencing
  • ·True 5-hmC Sequencing Service (Hydroxymethyl-Seq)
  • ·Single base resolution 5-hmC sequencing
  • ·Global 5-hmC Quantification
  • ·ELISA-based assay for quantitation of total hydroxymethylated cytosine levels in DNA
  • ·ChIP Sequencing Service (ChIP-Seq)
  • ·Genome-wide chromatin immunoprecipitation sequencing
  • ·ChIP Quantitative PCR Service (ChIP-qPCR)
  • ·Robust quantitative PCR for smaller scale and affordable chromatin immunoprecipitation analysis
  • ·ChIP Antibody Validation Service
  • ·Validation of antibodies for successful use in ChIP-PCR, ChIP-on-chip, or ChIP-seq
  • ·Epigenetic Analysis
  • ·Sequencing & Expression Analysis
  • ·De Novo Sequencing, Re-sequencing and Targeted Sequencing
  • ·Genome Resequencing Data Analysis
  • ·Identification of small structural variations (SVs) such as SNPs and DIPs;
  • Identification of large SVs like deletions, insertions, duplications, inversions, genomic rearrangements, Copy Number Variations (CNV) and Presence Absence Variations (PAV);
  • ·Genome consensus reconstruction;
  • ·Genome Wide Association Studies (GWAS);
  • ·High-throughput genotyping;
  • ·Molecular evolution studies.
  • ·Targeted & Exome Sequencing Data Analysis
  • ·Identification of small structural variations (SVs) such as SNPs and DIPs;
  • Identification of large SVs like deletions, insertions, duplications, inversions, genomic rearrangements, Copy Number Variations (CNV) and Presence Absence Variations (PAV);
  • Genome Wide Association Studies (GWAS);
  • High-throughput genotyping;
  • High-throughput development of molecular markers;
  • Molecular evolution studies
  • Metagenomic Sequencing Data Analysis
  • ·Analysis of species composition and abundance
  • ·Genome components analysis
  • ·Generate non-redundant gene catalog
  • ·Gene functional annotations
  • ·Comparative analysis among samples
  • ·Transcriptomic Data Analysis
  • ·Analysis Cases:
  • ·Total RNA-Seq (Whole Transcriptome) Sequencing Data Analysis
  • ·RNA-Seq (mRNA) Data Analysis
  • ·Small RNA Resequencing Data Analysis
  • ·With our de novo Sequencing Data Analysis service, we are able to provide:
  • ·Identification of the expressed genes
  • ·Identification of splicing variants
  • ·Determination of the gene structures
  • ·Quantification of absolute and relative gene expression levels
  • ·Relative expression of different alleles
  • ·SNP discovery and characterization
  • ·Differential expression analysis
  • ·Detection of post-transcriptional edits
  • ·De novo RNA sequencing
  • ·Identification of microRNAs including novel microRNAs
  • ·Gene Ontology (GO) enrichment analysis
  • ·Novel microRNA prediction
  • ·Expression quantitation of known and novel microRNA
  • ·Differential expression analysis of known and novel microRNA
  • ·Target gene prediction and network/pathway analysis