1. Q. I am a high school senior and I am about to start university this year. I wanted to ask question about Bioinformatics and genomics. I wanted to know that is it possible to start bioinformatics or genomics after doing a bachelor's in software engineering. Is there a career path possible like this? - Yes, it is possible to transition from software engineering to bioinformatics. - To succeed, gaining a solid understanding of biology, computer science and domain-specific knowledge is crucial. 2. Q. What is the appropriate path and roadmap to learn bioinformatics from scratch for both backgrounds (biology and computer science/engineering)? What I mean from "bioinformatics" can include computational biology, data analysis, tools development, structural biology, and etc. Q. What are the roadmaps of computational biology and the key points we should consider as beginners learners in this field? - Start by mastering programming languages like R/Python. - Gain understanding of various omics data types, including but not limited to genomics, proteomics, and transcriptomics. - Read scientific literature to comprehend the questions bioinformatics and computational biology address. - Enroll in formal education programs, online courses, participate in open source projects, and initiate beginner projects. 3. Q. how can one who is a bioinformatics undergrad (who also has a background in biology but not necessarily an in-depth understanding of cancer biology) get started with cancer research using bioinformatic methods? Q. What are the best sources for finding large datasets for real-life practices and maybe even to make new discoveries? Q. Tell us the main keys for designing a methodology and finding ideas for future research, based on your experience. - Begin by conducting a thorough literature review on cancer biology. - Explore reputable sources (large consortiums like GDC portal, NCBI GEO, cBioPortal) for large datasets for practical applications and potential discoveries. - Design a methodology and generate research ideas based on the insights gained from the literature review. 4. Q. Recommendations for tools or software for organizing workflows/code/files? Q. When having multiple projects at the same time, what is the best strategy to organize myself? - Utilize tools suggested in "How to organize computational biology projects" - doi.org/10.1371/journal.pcbi.1000424. - the importance of documentation, including README files, well-named scripts, structured folder organization, and version control. - Follow the right people and engage in social media for updates and collaboration. - Establish a systematic approach by following best practices in project organization. - Prioritize documentation and version control to maintain clarity and order across multiple projects.
Hi after so long am waiting for your new video thanks for coming back i need your help for my project, please few questions that need to be answered by you if you can?
1. Q. I am a high school senior and I am about to start university this year. I wanted to ask question about Bioinformatics and genomics. I wanted to know that is it possible to start bioinformatics or genomics after doing a bachelor's in software engineering. Is there a career path possible like this?
- Yes, it is possible to transition from software engineering to bioinformatics.
- To succeed, gaining a solid understanding of biology, computer science and domain-specific knowledge is crucial.
2. Q. What is the appropriate path and roadmap to learn bioinformatics from scratch for both backgrounds (biology and computer science/engineering)?
What I mean from "bioinformatics" can include computational biology, data analysis, tools development, structural biology, and etc.
Q. What are the roadmaps of computational biology and the key points we should consider as beginners learners in this field?
- Start by mastering programming languages like R/Python.
- Gain understanding of various omics data types, including but not limited to genomics, proteomics, and transcriptomics.
- Read scientific literature to comprehend the questions bioinformatics and computational biology address.
- Enroll in formal education programs, online courses, participate in open source projects, and initiate beginner projects.
3. Q. how can one who is a bioinformatics undergrad (who also has a background in biology but not necessarily an in-depth understanding of cancer biology) get started with cancer research using bioinformatic methods?
Q. What are the best sources for finding large datasets for real-life practices and maybe even to make new discoveries?
Q. Tell us the main keys for designing a methodology and finding ideas for future research, based on your experience.
- Begin by conducting a thorough literature review on cancer biology.
- Explore reputable sources (large consortiums like GDC portal, NCBI GEO, cBioPortal) for large datasets for practical applications and potential discoveries.
- Design a methodology and generate research ideas based on the insights gained from the literature review.
4. Q. Recommendations for tools or software for organizing workflows/code/files?
Q. When having multiple projects at the same time, what is the best strategy to organize myself?
- Utilize tools suggested in "How to organize computational biology projects" - doi.org/10.1371/journal.pcbi.1000424.
- the importance of documentation, including README files, well-named scripts, structured folder organization, and version control.
- Follow the right people and engage in social media for updates and collaboration.
- Establish a systematic approach by following best practices in project organization.
- Prioritize documentation and version control to maintain clarity and order across multiple projects.
Hello. Thanks for sharing. There's a issue with the link
@@Blaqksorrow Fixed that!
so glad to see it out! Thanks for the invitation!
Hi after so long am waiting for your new video thanks for coming back i need your help for my project, please few questions that need to be answered by you if you can?