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[3693.82 --> 3700.60] Like Ashley had said, people keep telling you to build something or like if you get on the go Reddit, they're going to tell you never to use third party libraries or like there's just right. |
[3700.88 --> 3702.02] There's a lot of things like that. |
[3702.02 --> 3706.88] And I think when you're learning, especially as a beginner, it's really easy to get suckered into this. |
[3707.02 --> 3708.22] I need to use all these things. |
[3708.86 --> 3710.42] And I don't know. |
[3710.50 --> 3716.90] It's almost like they need a guide to like a practical guide to just ignoring all that other stuff that doesn't matter and just focusing on what does matter. |
[3716.90 --> 3717.26] Yes. |
[3717.44 --> 3717.74] Yes. |
[3717.78 --> 3718.82] Also, please write that. |
[3719.50 --> 3719.86] Yes. |
[3719.96 --> 3724.30] I have that as a survey question, which is like, what is this like letter to your past self? |
[3724.42 --> 3728.76] Like what do you wish that you didn't have to unnecessarily go through? |
[3728.88 --> 3729.58] So, yeah, totally. |
[3730.08 --> 3730.66] I think that's great. |
[3730.72 --> 3733.46] I wonder if we, I wish we had more time to discuss that. |
[3733.52 --> 3735.44] But that is just really some of the best. |
[3735.50 --> 3739.56] If we can sort of get rid of some of the headaches that we ourselves had to endure. |
[3739.56 --> 3741.88] Eh, maybe that's all part of the journey. |
[3742.98 --> 3744.94] So let's, I'm going to close out. |
[3745.10 --> 3751.26] Whatever kind of beginner you are, we hope this episode has given you a good starting point as you start to learn and improve your go. |
[3751.68 --> 3761.22] The learning gotchas, how learning go might be different from your current programming language, where to ask questions and get help from the community, and where to continue on your learning journey. |
[3761.82 --> 3765.12] Whatever you do, embrace failure and don't stop trying. |
[3765.64 --> 3766.54] Engage with others. |
[3767.16 --> 3768.78] Use your resources. |
[3768.78 --> 3770.22] Go for Slack. |
[3770.54 --> 3771.30] Go Lang Newbies. |
[3771.80 --> 3773.90] Attend meetups online or in person. |
[3774.50 --> 3778.58] Like the famous quote from Benjamin Franklin, tell me and I forget. |
[3779.22 --> 3780.60] Teach me and I may remember. |
[3781.14 --> 3782.36] Involve me and I learn. |
[3782.72 --> 3785.58] Thanks everyone for today's episode of Go Time FM. |
[3786.12 --> 3787.12] Thank you, Ashley. |
[3787.38 --> 3788.18] Thank you, John. |
[3788.32 --> 3789.92] Thank you, Dave, for joining me. |
[3790.20 --> 3791.18] We'll see you next week. |
[3795.14 --> 3797.70] Thank you for listening to this episode of Go Time. |
[3797.70 --> 3802.98] If you liked this oldie but goodie, it's from our list of recommended episodes. |
[3803.38 --> 3806.42] Find the rest at gotime.fm slash recommended. |
[3806.98 --> 3809.50] And of course, subscribe now if you haven't already. |
[3809.80 --> 3813.52] We are in all the podcast apps or on the web at gotime.fm. |
[3813.52 --> 3817.34] And if you enjoy the show, please tell a friend to give us a listen. |
[3817.54 --> 3820.60] It's the best way you can help Go Time grow and thrive. |
[3821.00 --> 3829.48] Thanks again to our partners at Fastly for CD-ing for us, to the mysterious Breakmaster Cylinder for these fresh beats, and to you for listening. |
[3829.84 --> 3830.66] We appreciate you. |
[3830.66 --> 3836.16] Next time on Go Time, Natalie talks debugging Go with some new friends. |
[3836.52 --> 3839.50] We'll have that episode ready for your ear holes next week. |
[3839.50 --> 3854.28] Game on. |
• Tim Stiles talks about how he applied Go programming language in biology and medicine |
• He shares his experience of writing a GenBank parser in Go for converting JSON to GenBank format |
• Discussion on the complexity of legacy data formats in bioinformatics, including GenBank and ASN1 |
• Limited availability of software engineers who can also understand biology, leading to difficulties in developing biotech tools |
• The importance of bridging the gap between scientists and software engineers in bioinformatics |
• Discussion of the need for better software tools in biology |
• Use of example tests in Go programming language |
• Limited availability of APIs for DNA synthesis and other biological processes |
• Author's background in computer science and robotics |
• Introduction to biological concepts: endothelial cell morphology, VEGF factor, tumor growth, cancer research |
• Synthetic biology and self-aid programming with stem cells |
• Personal experience learning about plasmids and genetics from spouse |
• Background: self-taught biology education through online lab and community involvement |
• Creating Poly, a Go package for engineering DNA for experiments and designs |
• The uniqueness of Poly compared to other DNA-related projects and tools |
• High-level overview of Poly's capabilities and potential applications in synthetic biology |
• Examples of projects using Poly, including engineering microbes as therapeutics and automating DNA synthesis and cloning |
• Potential future applications of Poly, such as designing primer tests for COVID-like PCR testing and synthesizing valuable molecules |
• Introduction to the field of synthetic biology and its use in producing insulin through yeast engineering |
• Discussion on the democratization of DNA synthesis and design |
• Introduction to Tim Stiles' software for designing DNA constructs |
• Overview of the process of designing DNA strings for specific organisms |
• Explanation of the Central Dogma of biology and its relevance to DNA synthesis |
• Comparison of traditional CAD-like tools with Tim's software for scale and efficiency |
• Discussion on the benefits of using Tim's software, including cost savings and improved accuracy |
• Mention of the high compute bills associated with synthetic biology |
• The speaker's role is to balance the pace of scientific research with maintenance-conscious decisions. |
• The future of bioengineering involves collaboration between software engineers and biologists. |
• Software engineers can speed up biological research with their expertise in languages like Go and Rust. |
• Intimidation towards biology by software engineers is a barrier to entry, and humility is key when approaching biological concepts. |
• The speaker believes Go has a prominent future in bioengineering due to its usability and DevOps tools. |
• Choosing a programming language for a project involving DNA engineering and biotech applications |
• Comparison of Rust and Go as options for the project, with Go being chosen due to its ease of use, speed, and large community |
• Challenges in string manipulation in Rust and Go's advantages over other languages such as Lua |
• Use of Docker and Jupyter Notebooks for containerization and development |
• Excitement about potential applications of protein engineering and nanobots |
• Interest in exploring the possibility of using plants as infrastructure |
• Discussion of pharmaceuticals, ag tech, and "other" applications in biotech |
• The term "synthetic biologists" was coined to distinguish from genetic engineers due to Monsanto's PR and legal issues. |
• Advances in biotech include specialized cancer therapy and gene therapy. |
• CAR T-cell programming involves reengineering patient cells to target specific cancer cells without harming healthy cells. |
• AI and machine learning are being used in biotech, particularly in modeling molecular interactions and folding proteins. |
• David Baker's lab developed the game Fold It, which uses human prediction to train AI models for protein folding and molecular dynamics. |
• Machine learning has limited use cases in biotech, particularly when working with complex data structures and therapeutic effects |
• Biotech is behind other fields in adopting software trends, including machine learning and data management |
• Data cleaning and preparation are significant challenges in applying machine learning to biotech problems |
• Open-source development can be a viable career path for software engineers in biotech |
• Tim's Inverse Law of Software Quality states that the more important the project, the worse the code quality tends to be |
• The community needs help with deploying large-scale, scalable systems and writing efficient DNA manipulation algorithms |
• Legacy data storage issues with 5 terabytes of data in a database |
• Using SurrealDB as a graph database solution |
• Creating tutorials for Poly using Gitpod and an awesome plugin |
• Needing help with deploying software at scale and reliability |
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