samtools.sourceforge.net - In current genome era, our day to day work is to handle the huge geneome sequences, expression data, several other datasets. This link provide a comprehensive list of commonly used sofware/tools.
The bioinformatics landscape for RNA sequence analysis is vast, with tools catering to specific needs. Whether you’re studying coding RNAs, non-coding RNAs, or exploring RNA-protein interactions, the right tools can transform your data into...
There are numerous genome assembly tools available, each with its strengths and weaknesses. Here is a list of some widely used genome assembly tools as of my last update in September 2021:
SPAdes: An assembler specifically designed for...
The choice of visualization can significantly impact the insights gained from bioinformatics data. By selecting plots tailored to your data type and analysis goals, you can effectively communicate your findings and make your research more impactful....
pevsnerlab.kennedykrieger.org - DRAGON: Database Referencing of Array Genes Online
SNOMAD: Standardization and Normalization of Microarray Data
SNPduo: SNP Analysis Between Two Individuals
SNPtrio: Analyzing and Visualizing and Inheritance Patterns in Trios
SNPscan: Data...
For a beginner this can be is the hardest part, it is also the most important to get right.
It is possible to create a vector by typing data directly into R using the combine function ‘c’
x
same as
x
creates the vector x...