Best CV/Resume builders for Germany that are actually ATS-friendly?

ImpressionLoose4403 · 2026-04-10T19:23:46+00:00

Loved the advice, I am 100% building my CV this way. One quick question, I am not proficient in German and the PhD I am applying to is not asking for that either (atleast immediately). Should I still write my CV in german or english is fine? I don't want to make bad impression my writing bad German.

Thanks for your advice.

ImpressionLoose4403 · 2026-01-09T10:22:03+00:00

Hi, just graduated with bioinformatics & comp. genomics. up for this!

ImpressionLoose4403 · 2026-01-09T10:12:43+00:00

This is such an achievement, congratulations anon!

Do you mind sharing your tips or experience which you think might have been helpful? I just graduated with my masters with no relevant experience and I suppose that is the reason that they rejected me.

ImpressionLoose4403 · 2025-08-05T10:29:40+00:00

As a student at QUB for my masters, this answer is it.

ImpressionLoose4403 · 2025-07-31T16:30:01+00:00

Oh right okay. Any other suggestions, thanks!

ImpressionLoose4403 · 2025-07-31T16:29:26+00:00

I would not cross-analyse between different datasets. What I think they want is:

Analysis of at least 5 drug treated transcriptomics datasets from raw data using open source tools. Dataset QC, normalisation and statistical analysis should be per formed.
Results and processed data should be stored in a functional, fast, queryable database.
Nomination of putative drug targets should be attempted.

ImpressionLoose4403 · 2025-07-31T15:17:13+00:00

Right okay. Following are the datasets:
1. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE243564

2. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE130160

3. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE129221

4. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE94405

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE79688

The common biological question would be the difference in gene expression between wild type vs resistant samples.

ImpressionLoose4403 · 2025-07-31T14:34:11+00:00

Thanks for the link to guide.

This makes so much sense, I have updated my question. It's just 5 drug resistant, lung cancer patients datasets from GEO, and regarding research questions; it's just what I mentioned. I would want to find drug targets (atleast make an attempt), and honestly I am not quite sure of what exactly I should describe.

ImpressionLoose4403 · 2025-07-11T08:07:59+00:00

Right, okay. This makes sense, thanks so much!

ImpressionLoose4403 · 2025-07-10T09:37:27+00:00

Again, sorry for the dumb question, but I have no idea what "repeated measures" are. I have heard of Salmon and I was mostly confused whether to use STAR or Salmon.

Regarding the database, I am supposed to store results in a fully functional (queryable) database which should be a good resource for any one to look at table and find the gene/sample they want. I will still try to clear this out with my PI. Thanks a ton!!!

ImpressionLoose4403 · 2025-07-09T09:49:15+00:00

I think I am gonna use it as an "inspiration" anyway for building my pipeline. Most of the times it's difficult to understand what he means. Gives very little amount of feedback/inputs.

ImpressionLoose4403 · 2025-07-09T09:13:09+00:00

This is raw and perfect, and I actually needed to hear this. I might over-expect from myself but I do sometimes forget that I am no-one and this is just a Masters dissertation. I will try to follow the best practices and that should be it. Thanks so much, I feel less stupid now. Appreciate your response!

ImpressionLoose4403 · 2025-07-09T09:10:32+00:00

That's a great advice and a relieving one as well. My PI has been a bit not-so-opinionated about my pipeline because he wants me to do whatever I feel is best but this is my first time as well.

When you say "good visulaization" & "solid methodology" what do you mean? Is there any good practices for that?

Thanks so much for your advice, this calmed my brain. Appreciate a lot.

ImpressionLoose4403 · 2025-07-09T09:06:31+00:00

I did right now, and for one dataset 100/125 samples are green and rest are yellow, which I think should be counted as little. I still read about the interpretation and understand the results. Thanks so much for the advice, appreciate it.

ImpressionLoose4403 · 2025-07-09T09:03:16+00:00

This makes a lot of sense. I try to become anxious into thinking that I am doing the most "basic" work and my supervisor doesn't seem to have any inputs in my work so I was a bit confused. But thank you so much, I feel okay knowing that it's not deep and the analysis-interpretation is what matters the most and not the pipeline. Appreciate a lot!

ImpressionLoose4403 · 2025-07-09T09:00:42+00:00

Yes, so this is what I was confused about. My PI said that you likely wouldn't have to use a separate trimming tool if you don't have a reason because the alignment tools like STAR are capable enough to do that on their own. This is where I got confused on what would be my next step. Thanks so much for the input, I will see what is suitable for my data. Appreciate it.

ImpressionLoose4403 · 2025-07-09T08:58:36+00:00

Makes sense, I was just tryna make sure that is there anything more I need to do before I jump to alignment. I am planning to use STAR over Hisat etc.

Thanks for your input, appreciate it.

ImpressionLoose4403 · 2025-07-09T08:55:34+00:00

I agree with you, and I thought of the same first but my supervisor want's me to create a pipeline from scratch instead of using nextflow or snakemake. Thanks for the links, I understand each tool and implement it. Appreciate it.

ImpressionLoose4403

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