github.com - Motivation: Identification of biological specimens is a major requirement for a range of applications. Reference-free methods analyse unprocessed sequencing data without relying on prior knowledge, but these do not scale to arbitrarily large genomes...
broadinstitute.github.io - Decoding SAM flags
This utility makes it easy to identify what are the properties of a read based on its SAM flag value, or conversely, to find what the SAM Flag value would be for a given combination of properties.
To decode a given SAM flag...
github.com - CSBB is a command line based bioinformatics suite to analyze biological data acquired through varied avenues of biological experiments. CSBB is implemented in Perl, while it also leverages the use of R and python in background for specific modules....
https://arvados.org/ - Arvados is a free and open source bioinformatics platform for genomic and biomedical data. User can Store | Organize | Compute | Share the data for free.
www.nature.com - There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too late.
This collection highlights important statistical issues that...
github.com - The automated reconstruction of genome sequences in ancient genome analysis is a multifaceted process.
EAGER encompasses both state-of-the-art tools for each step as well as new complementary tools tailored for ancient DNA data within a single...
http://last.cbrc.jp/ - LAST can:
Handle big sequence data, e.g:
Compare two vertebrate genomes
Align billions of DNA reads to a genome
Indicate the reliability of each aligned column.
Use sequence quality data properly.
Compare DNA...
github.com - A flexible framework for rapid genome analysis and interpretation
C Chiang, R M Layer, G G Faust, M R Lindberg, D B Rose, E P Garrison, G T Marth, A R Quinlan, and I M Hall. SpeedSeq: ultra-fast personal genome analysis and interpretation. Nat Meth...
www.khanacademy.org - Topics
Displaying and describing data
Modeling distributions of data
Describing relationships in quantitative data
Designing studies
Probability
Random variables
Sampling distributions
Confidence intervals (one sample)
Significance tests...
github.com - Simple ideogram plotting and annotation in R.
Basic usage:
Rscript Ideoplot.R --heatmap hm.bed --annotate annotations.bed --out ideogram.pdf -or- Rscript Ideoplot.R --annotate annotations.bed
Options
--ideobed, i A bed file of reference...