scikit-learn.org - Machine Learning in Python
Simple and efficient tools for data mining and data analysis Accessible to everybody, and reusable in various contexts Built on NumPy, SciPy, and matplotlib Open source, commercially usable - BSD license
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readthedocs.org - Bipype is a very useful program, which prepare a lot of types of bioinformatics analyses. There are three input options: amplicons, WGS (whole genome sequences) and metatranscriptomic data. If amplicons are input data, then bipype does...
I came across two diferent but matching term BioRuby and BioGem. What are the difference between these two term? If both are using same Ruby language for development then why did they develope two different biological packages.
www.stackage.org - The Bio.SeqLoc modules in seqloc are designed to represent positions and locations (ranges of positions) on sequences, particularly nucleotide sequences. My original motivation for writing these packages was handing the locations of genes in...
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...
Question at http://rosalind.info/problems/1b/
#Find the reverse complement of a DNA string.#Given: A DNA string Pattern.#Return: Pattern, the reverse complement of Pattern.use strict;use warnings;my $string="AAAACCCGGT";my $finalString="";my %hash...