biomisc_R
command line bioinformatic scripts written in R (by olgatsiouri1996)
chromatographR
Toolset for the reproducible analysis of chromatography data in R (HPLC-DAD/UV, GC-FID). (by ethanbass)
biomisc_R | chromatographR | |
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3 | 1 | |
23 | 12 | |
- | - | |
0.0 | 8.8 | |
almost 2 years ago | about 2 months ago | |
R | R | |
MIT License | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
biomisc_R
Posts with mentions or reviews of biomisc_R.
We have used some of these posts to build our list of alternatives
and similar projects.
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Splitting multifast file into individual single fasta R
https://github.com/olgatsiouri1996/biomisc_R/blob/main/fasta_manipulation/split_multifasta_to_singlefasta.R this will help. I would recommend using sed to keep only the ids and not the full fasta headers
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how can I have R go through a fasta file opened with seqinr and run certain functions on each sequence?
https://github.com/olgatsiouri1996/biomisc_R/blob/main/sequence_statistics/calculate_biophysical_properties_multifasta.R this might help
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biomisc_R: a repository of command line bioinformatic scripts written in R
while R is a very beginner friendly and popular programming language in bioinformatic circles, there are not many repositories that contain command line scripts that can be easily used. Thats why I created biomisc_R a repository that contains scripts involved in single/multi-fasta/pdb file manipulations, sequence statistics and differential expression analysis. The scripts have been tested on windows 10 build 19041.985 and ubuntu 18.04 with R 3.6.3. if you have any questions and suggestions please let me know!
chromatographR
Posts with mentions or reviews of chromatographR.
We have used some of these posts to build our list of alternatives
and similar projects.
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Find Peaks and Calculate Area Under the Curve???
It would help to know how the peaks are shaped to be sure, but I think my R package chromatographR should work well for this. Right now it is available on github https://github.com/ethanbass/chromatographR/ and you can more about it in the vignette here (https://ethanbass.github.io/chromatographR/articles/chromatographR.html)
What are some alternatives?
When comparing biomisc_R and chromatographR you can also consider the following projects:
hermiter - Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
sjPlot - sjPlot - Data Visualization for Statistics in Social Science
rhmmer - Simple R utilities for working with HMMER
drugfindR - Repository holding the code for the drugfindR R package
rna-seq-kallisto-sleuth - A Snakemake workflow for differential expression analysis of RNA-seq data with Kallisto and Sleuth.