3/ industry: PhD --> scientist --> senior scientist (other companies may have scientist I/II/III etc) ---> principal scientist --> associate director --> director -->senior D --> executive D (some do not have it) --> VP--> SVP --> c-level executive

Read 7 tweets

Ming "Tommy" Tang

@tangming2005

Oct 11

1/ Why everyone needs a manager? 👇

2/
* a point person is needed for clarity
* regular contact is useful for troubleshooting + feedback

3/
* individuals need to help being their best at work
* relationships nurture a feeling of safety and belonging

Read 4 tweets

Ming "Tommy" Tang

@tangming2005

Sep 15

1/ Real-world data are inherently messy. Generating biological insights requires good data analysis skills. Artifacts are widespread too. How to prevent and identify artifacts due to data analysis? a thread 👇

2/
have a good understanding of your data. Do exploratory analysis (EDA).

3/ choose appropriate model to analyze the data

Read 10 tweets

Ming "Tommy" Tang

@tangming2005

Sep 13

Bioinformatics one-liner * Day 19
1/ create a tx2gene mapping file from ensemble gtf retaining the version number of genes and transcripts. A thread. #bioinformatics #oneliner #unix

2/ awk -F "\t" '$3 == "transcript" { print $9 }' myensembl.gtf| tr -s ";" " " | cut -d " " -f2,4| sed 's/\"//g' | awk '{print $1"."$2}' > genes.txt

3/
awk -F "\t" '$3 == "transcript" { print $9 }' myensembl.gtf| tr -s ";" " " | cut -d " " -f6,8| sed 's/\"//g' | awk '{print $1"."$2}' > transcripts.txt
paste transcripts.txt genes.txt > tx2genes.txt

Read 4 tweets

Ming "Tommy" Tang

@tangming2005

Sep 12

1/ Do not give me excel files (which is impossible :)).
8 tools to deal with tsv/csv files on the command line:
visidata.org Data exploration at your fingertips

#unix #data #commandline