Open sr320 opened 9 years ago
all of them, cause I will be analizing transcriptomic sequences
Probably one of the most useful general skills I have learned so far is how to understand the logic and how to write code in python, blast, etc.
For sure will use Blast but most probably will use all the tools to try the complete workflow with data.
I will be definitely using the command lines in terminal-iPhyton for general purposes, as well as the feature of concatenating two columns in SQLShare with different filtering options, and then exporting the newly created file (specially useful for large files with millions of cells, not-doable on excel!)
Maybe the tool to join the blast results with the GO terms (or other DBs) because is faster than run a GO annotation step in other softwares.
The use of command line in iPhyton and the terminal of computer
I will use again the Iplant platform, since it have a lot of interesting algorithms that you can run in the cloud, so there is no need to download or running the processes on your computer. in addition, its also interesting SQLshare that can be used to perform faster conting annotation.
It is the first time I work with this kind of data, therefore I don't know another way to do anything that we have done until now, and I need to do massive sequencing as part of my postdoc so it is probable that I'm going to use all of this tools.
all skills will be useful to me for my two projects, I have databases of transcriptomics sequences and I need to analyze. Iplant probably be much help, and annotations and comparisons using SQLShare.
I think SQL is a good tool for sequences annotation, it seems very useful for studies in which work. furthermore, i find it interesting to learn new tools for analyzing sequencing data.
The tools learned will allow me to better understand the analysis performed analysis software as CLC. SQLShare and Iplant particularly platforms represent an alternative to analysis of sequence data.
I will use the terminal of computer, the iPlant platform, blast and SQLShare for contig annotations
The course has allowed me to meet and work for the first time with these bioinformatics tools. In my case, I would use some iPlant tools for filtering and sequence analysis; and SQLShare for annotation and comparison of contigs.
I hope to be able to use them all in the future! meanwhile, I think the software we used for manipulating the datasets and sharing information will be very useful.
Over the past days we have learned several computing skillsets.
Which one do you think you might use after this week is over?