Some time ago, a friend asked me a question, "How to extract the ID of a given series of genes from a large FASTA file", she ChatGPT
searched ChatGPT
wrote It's really good. People who just started learning probably can't write so well, but she can't run it. After Python is installed, the code will not be called; of course, if it is called, there will be some problems that need to be debugged later (debugging requires some basic knowledge, see If the code given by ChatGPT is not perfect, how to ask him to change it step by step good? ). Look at it this way, for most tasks, you can get a lot of code online, and there will be a lot of explanations (ca n’t understand the code? ChatGPT will explain it for you, it’s so detailed! ), you don’t have to worry about not knowing it at the beginning I have written the code, but what I lack is some basic knowledge, how to run it, how to modify it to suit my own needs, and how to debug any errors encountered during operation.
If you have warm-hearted people around you, it's easy to handle, and asking for help directly is the best way. What if it wasn't such a coincidence? Our one-on-one getting started coaching is a great way to do this.
Why do you need personalized one-on-one tutoring?
We started this course in 2019, and the position at that time was to train new bioinformatics personnel for the laboratory. Now the labs are facing such a dilemma. Some of the recruited staff or postdoctoral fellows have published good articles on bioinformatics analysis in the previous learning process, but their actual bioinformatics analysis level and code writing ability are poor. Very worrying.
Just like the question mentioned at the beginning, "How can I encounter such a problem" or "I don't know how to solve such a problem"? Simply relying on talking and listening will not solve the problem, it must be 练-讲-练
solved continuously . 循环强化
At this time, you need someone who can give you guidance in time and lead you through this " the easiest way to look back, but the hardest at the beginning".
The PI or co-PI in the laboratory don't have so much time to talk about how to log in to the server from scratch, how to run the code, and how to solve the error that the file cannot be found, so they gave us the task of training. We have also helped many friends’ laboratories to train some people. After they have learned basic operations, basic concepts, basic grammar, and basic ideas for solving errors from scratch, they have already entered the door, and then go to the laboratory to accept specific projects. Training; in this way, when the PI reassigns tasks, he will not be so at a loss when handling the tasks, but can directly start to advance. There may still be stumbling, but he can solve problems by himself and continue to advance.
One-to-one teaching features
There is a teacher who will serve you all the way, from the most basic, how to install the software, how to type the first command, to the answer to every error report encountered, your best personal assistant (but not to do projects for you) .
After-school exercises are arranged for each course, giving you time to absorb, run, and try and make mistakes;
In the next class, I will explain the problem-solving and strengthen the thinking of solving the problem.
After completing the study of the course content, it is necessary to reproduce an article.
One advantage is to see if you can draw inferences from one instance and apply what you have learned to new scenarios, and why;
Another advantage is that under the new background, you can encounter problems that you have not encountered before, encounter and solve all the mistakes that can be encountered once.
One-to-one teaching range
Basic course of student letter code (Linux/R/Python)
Transcriptome
amplicon
a
public data mining
Multi-omic joint analysis
One-to-one teaching type
There are two main types of one-on-one teaching for students:
The first type is for 0-based , mainly for those who have never been in contact with any bio-letter, but hope to learn bio-letter quickly and reach the level of posting articles. This type recommends that you choose one or more of the courses mentioned above according to your research field, such as: the research field is related to microorganisms, you can study amplicons or metagenomics; study individual transcriptomes or learn bioinformatics ideas You can learn the transcriptome; if you have never been exposed to code and have enough time, you can learn the basic course of biological information code before learning omics. Under this teaching type, each course has a detailed teaching schedule of more than 14 days + examinations completed in each stage + 1 week of recurring article analysis exercises (the specific teaching time depends on each person's learning progress ) , After the course is over, you can understand the logic of the omics analysis, master the content and codes you have learned, quickly analyze the data of the omics, and master the causes and solutions of common problems. One-to-one Q&A on course-related questions. If you have participated in previous courses and want to have a deeper understanding, but your foundation is relatively weak, you can also participate.
The second type is the customized mode . Since the 0-based mode is mainly a complete set of analysis of single omics, in the customized mode, it is more suitable for having multiple sets of data, requiring joint analysis or public data mining needs, and having specific Those who need information about the direction of analysis, etc., will customize the detailed teaching schedule for more than 14 days on the basis of the analysis needs + the examination and acceptance of each stage + 1 week of recurring article analysis exercises) (the specific teaching time depends on It depends on the learning progress of each person ) After the course is over, you can be clear about the analysis logic of the analysis you have learned, and be proficient in the content and code you have learned, as well as be able to quickly analyze this type of data and master the causes and solutions of common problems , and will also provide one-on-one real-time Q&A course-related questions within one year.
One-to-one course teaching method
The teaching mode is a combination of online Tencent conference live broadcast and recorded video. The recording and broadcasting content is learned according to one's own time, and more than 4 hours of live teaching and Q&A are arranged every week (live broadcast provides replay). In many cases, everyone coordinates a common and convenient time). In addition to the mastery of course content, another focus of teaching is to teach problem-solving methods.
Taking the transcriptome as an example, the course content is as follows.
If you have some foundation, you can also directly participate in our other courses.
Clinical Genomics online/offline course start time: 2023/04/14-2023/04/16
Metagenome online/offline course start time: 2023/4/7-2023/4/9
Amplicon online/offline class start time: 2023/06/09-2023/06/11
Transcriptomics online/offline course start time: 2023/05/12-2022/05/14
Registration link: http://www.ehbio.com/Training/
Past products (click on the picture to go directly to the text corresponding tutorial)
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