PROF. G.M. REDDY RESEARCH FOUNDATION
4-123/E,
Swaroop Nagar, Uppal,
Hyderabad-500039
Ph: 9063920123. Website: www.gmrrf.org. Email: info@gmrrf.org, sas@gmrrf.org, cdm@gmrrf.org
Hyderabad-500039
Ph: 9063920123. Website: www.gmrrf.org. Email: info@gmrrf.org, sas@gmrrf.org, cdm@gmrrf.org
Prof. G.M. Reddy Research Foundation (G.M.R.R.F) is a non-profit autonomous Research Organization registered in December 1995 by the Government of Andhra Pradesh and recognized by Department of Scientific and Industrial Research (DSIR), Department of Science and Technology, Govt. of India, New Delhi in August, 1997. Apart from research, the organization also encourages and supports the upcoming Scientists and budding Entrepreneurs in educating with the following technical skills. The organization works on the motto of KNOW HOW, TECHNOLOGY and KNOWLEDGE TRANSFER.
ACTIVITIES
HANDS ON TRAINING & ACADEMIC PROJECTS:
HANDS
ON TRAINING & ACADEMIC PROJECTS:
Biomolecules: Phytochemical studies, 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, Enzyme assays and
kinetics, Immuno-blotting &
diffusion. Purification Techniques: HPLC, TLC, Affinity Chromatography.
Analysis of bioactive compounds. Molecular Genetics: Biomarkers studies.
Analysis of Human blood samples. Data analysis and Biostatistics.
Microbial Technology: Biofertilizers(Nitrogen
fixing, Phosphate solubilising and Potassium solubilizing bacteria isolation, characterization and activity analysis), Biopesticides & Biofuel development and evaluation. Prototype studies
on aquaphonics and biopotential of aqua waste.
Quality detection analysis of finished bioproducts.
Antimicrobial activity of Bioactive compounds.
Biocomputing and Data analysis : Bioinformatic suits, Clinical
Genomics, Sequence studies, Transcriptomics, Network analysis.
Academic real time
projects registration closes as it reaches the required number of participants.
Prior registration is mandatory.
Cell Biology: Plant
tissue culture and Micropropagation. DNA
fingerprinting, RAPD marker studies.
Animal: PBMC, HeLa and UCB stem cell
culture, Chromosomal preparation, karyotyping.
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/Bioconductor for Biologists
This course is
designed for biologists (novice and intermediate R users) 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
§Omics data analysis using
R/Bioconductor
§ Analysis
of affymetrix microarray data
§
Functional annotation of NGS data
Next
Generation Sequencing Data analysis
1.Introduction to linux (Debian/Ubuntu) and shell (bash)
2.Genomics data formats, resources and
visualization
§Introduction to Genomics(File formats) used in genomics data
analysis
§Introduction to Variants (SNVs, MNVs and DIVs)
§Introduction to Variant calling (including qc and alignment –
GATK best practices workflow)
§Introduction to Variant annotation (SNPeff,
Variation reporter, VEP)
§Data visualization (IGV)
§Genomics data operations (BED, GTF,VCF)
Transcriptomics
•Introduction
to Transcriptome
•Introduction
to NGS (RNA-seq)
•Introduction
to RNA-seq data
analysis
oIntroduction to Tuxedo suite workflow1 ,
workflow 2
oHtseq workflow
•Data
visualization (Cummerbund, IGV)
PROFESSIONAL
COURSES:
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.
Highlights:
§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
Mode of Training: Online Training on weekdays
& weekends
We are open for
consultancy services for NGS data analysis and clinical
data analysis using SAS
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.
Highlights:
•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.
ELIGIBILITY
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).
1 Comments
how long to finish Next Generation sequencing short trem course?
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