PROF. G.M. REDDY RESEARCH FOUNDATION
4-123/E, Swaroop Nagar, Uppal,
Hyderabad-500039, Telangana State
HANDS ON TRAINING & ACADEMIC PROJECTS:
Multicellular-Plant: Plant germination techniques, Plant tissue
culture. Animal: PBMC, HeLa and UCB stem cell culture, Chromosomal preparation, karyotyping. Unicellular-Microbes: Microbial cultures. Morphological and Biochemical tests. Antimicrobial activity of Bioactive compounds. Quality detection analysis of food products.
Biofertilizers production: Nitrogen fixing, Phosphate solubilising and Potassium solubilizing bacteria isolation, characterization and activity analysis.
A) Nucleic Acids: Genomic , plasmid DNA, RNA and miRNA isolation. PCR, RAPD,RFLP, SSCP and Haplotype analysis, Gel electrophoresis, Northern Blotting. Genetic diversity analysis. Bacterial transformation and cloning, Recombinant DNA Technology.
B) Carbohydrates & Protein: Quantitative estimation, Western Blotting and Enzyme assays, Immuno-blotting & diffusion. Purification Techniques: HPLC, TLC, Affinity Chromatography. Analysis of bioactive compounds. Biomarkers study.
Biocomputing and Data analysis:
Bioinformatics suits, Sequence studies, Phylogenetic Analysis, Structural Annotation, Functional Elucidation, Transcriptomics, Next Generation Sequencing data analysis, Clinical genomics.
Academic real time projects registration closes on November 30th for Winter Intake and on March 30th for Summer Intake. Prior registration is mandatory.
GRANT WRITING & PUBLICATION WRITING:
Assist in finding a proposal concept, evaluating the past work of concept, planning, execution methodology and finalizing the budget. Facilitate the submission of manuscript for publication in peer reviewed Journals.
SHORT TERM COURSES:
R/Bioc for Biologists
This course is designed for biologists (novice and intermediate R users) who would like to get their hands dirty in analysing their data instead of turning their data to someone else. Course covers preprocessing of data, data analysis, visualization and functional annotation of omics data. By the end of the course, one should be able to use R/ Bioc software efficiently on biological data and make scientifically strong choices.
§Introduction to R/Bioconductor 3 hr
Brief history of R and Bioconductor,Installation on linux and windows
Installation of Rstudio, Rcmdr,Usage of Rstudio,Installation of packages in
Rstudio,Installation and usage of packages in command line.
§ Omics data analysis using R/Bioconductor
Installation of analysis packages 30 min
Installation of annotation packages 30 min
Importing, analysis, visualization and exporting of external data 2 hr
§ Analysis of affymetrix microarray data 2 hr
Using R/ Bioc, Using Limma/AffylmGUI
Visualization of biological data 1hr
§Functional annotation of NGS data 2 hr
RNA-seq data analysis using aligned files
WES data analysis using aligned files
Annotation and visualization of VCF data from NGS data analysis
The course includes a rich collection of lectures by eminent and experienced people from Translational bioinformatics.
Professional Education always helps you to draw your own career Map. We will provide you the guidance and a path that lay success right before you. One of the highest rising sectors in India is the Pharmaceutical industry with opportunities and openings for Clinical Research jobs. To meet this increase, please join your hands with us.
Clinical SAS Programming
Statistical Analysis Systems (SAS) Programming is an essential element for data analysis and report generation in the drug development process. There is an outstanding scope for the SAS programmers in clinical, financial and big data analytics industries. The current course is designed to fulfill the industries requirement.
§Rigorous theoretical and programming knowledge in a practical way
§Training by SAS certified industry experts
§Base & Advanced SAS concepts (Including Macros & SQL)
§End-to-end exposure to real time industry requirement
§Special focus on SAS certification
§One on one monitoring
§Well prepared course material with real time examples
§Introduction to ICH - GCP, GPP
§CDISC - SDTM, ADaM
§CDISC standard Phase III project
Part - I. SAS Programming concepts Approx. 25 hrs.
Part - II. Clinical SAS Project Approx. 25 hrs.
Only CDISC Concepts Approx. 8 hrs.
Mode of Training:
Online Training on weekdays & weekends
Class room Training on weekends (Saturday & Sunday)
Clinical data management and Pharmacovigilance
India has a numerous players in Clinical research Industry with Global standards and Manpower. This Foundation will help you to achieve the level of expertise through our Class-room and User-friendly Training Programs.
•History of Clinical Research, Wide variety of clinical trials.
•Pharma and health sciences issues, viz. ICH GCP Principles; Regulatory affairs.
•Clinical trial documentation; ethics; Monitoring; project management.
•Quality assurance; audits & inspections.
•Pharmacology; Pharmacovigilance; Drug safety; Bio equivalence & Bio availability studies.
•Clinical data management; USFDA, EMA Schedule Y and other regulations.
•Medical & scientific writing; Investigator training etc.
Practical Classes on Software: Oracle and Argus.
Certificate will be issued at the end of the course.
Life Science: B.tech Biotechnology, M.tech Biotechnology, B.Pharmacy, M.Pharmacy, B.Sc Biotechnology / Biochemistry / Microbiology / Botany, M.Sc Biotechnology / Biochemistry / Microbiology / Bioinformatics / Botany, PhD.
Statistics: PhD, M.Sc, B.Sc.Doctors :(MBBS, BDS, BHMS, BAMS)
*Prior knowledge of any programming language (C, C++, JAVA etc) is NOT required to learn SAS