Best online training from industry expert scientific profile

Internship - Project Work

₹18000.00

About Project Work :

Bioinformatics :
The fields of bioinformatics and computational biology involve the development and application of tools to make biological discoveries. Some people enter the field as a biologist who learns how to use the tools or as computer scientists/engineers who are able to build tools. A solid background in both biology and computer science is extremely helpful.

Eligibility:

· Graduate or PGs from a recognized University in Life Science ( Biotech / Botany / Zoology / Microbiology /Biochemistry)

·Graduate from a recognized University in Health Sciences (MBBS / BDS / BAMS /BHMS / BUMS / BVSc.

·Pharmacy (BPharma) OR MPharma

·BE ,M.E in Biotech / BCA / BSc IT ,M.Sc IT / BSc CS, M.Sc CS

·         Post graduate and doctoral students, researchers & corporate working  people related to life sciences.

Bioinformatics & Computational Biology based Academic Project for

All Life Science  and Computer Science Graduates and Post Graduates.

B.E, B.Tech., M.E., M.Tech., MCA, B.Sc., BCA & Diploma Students

Live Project work with *Paper Publication

In the rapidly evolving field of bioinformatics, our academic project services and training programs are designed to equip students, researchers, and professionals with the necessary skills and knowledge to excel. We offer tailored hands-on workshops that delve into genomic data analysis, computational biology, and molecular modeling. Our experienced instructors provide personalized guidance, helping participants develop their projects from conception to execution. Additionally, we foster collaboration opportunities that bridge the gap between theoretical understanding and practical application. Whether you are looking to deepen your understanding of bioinformatics tools or require assistance in managing a specific project, our comprehensive services aim to support your academic and research ambitions effectively. Join us to enhance your expertise and contribute meaningfully to the scientific community.

  • Database Development.

  • Bio Application Development

  • BigData Analytics.

  • Microarray Data Analysis.

  • Neuroinformatics  Analysis.

  • Phylogenetic  Analysis.

  • Sequence Analysis.

  • Multiple Sequence Alignment

  • Matlab Bioinformatics Tool Box.

  • Matlab Microarray data analysis.

  • Molecular Modeling.

  • Molecular Mechanics.

  • Protein Interaction.

  • Insilico Drug designing.

  • Target Identification.

  • High throughput Screening.

  • Virtual Screening.

  • Genomics & Proteomics.

  • Cheminformatics.

  • Immuno Informatics.