BOL

Berkeley provide some of the excellent and well written tutorials on bioinformatics find more at http://ib.berkeley.edu/courses/ib200a/IB200A_SyllabusHandouts.shtml

Learn Phylogenetics at http://phyloseminar.org/recorded.html

Teaching the ABCs of bioinformatics: a brief introduction to the Applied Bioinformatics Course http://bib.oxfordjournals.org/content/early/2013/09/05/bib.bbt065.full

Publish scripts at The Journal of Open Source Software http://joss.theoj.org/about

You can also bioinformatics tools at https://www.journals.elsevier.com/information-and-software-technology/short-communications/information-and-software-technology-now-publishing-short-com

Application in plant sciences accept tools and software https://bsapubs.onlinelibrary.wiley.com/journal/21680450

As a bioinfomatician we need a good software to manage the huge amout of omics data. Here is one open source software for omics data managements.

Link @ https://arvados.org/

High-throughput experimental technologies are generating increasingly massive and complex genomic data sets. The sheer enormity and heterogeneity of these data threaten to make the arising problems computationally infeasible. Fortunately, powerful algorithmic techniques lead to software that can answer important biomedical questions in practice.

Check out this review for more detail of computational solution of huge omics data: http://www.nature.com/nrg/journal/v14/n5/full/nrg3433.html#!

Compressive Genomics is the solution deal with problem arisen due to sudden explosion of redundant data generated by current sequencing technology and other solution is 3rd and 4th generation sequencing machines which are based on sequencing single molecule and tend to produce long reads with less redundant data.

PLAST is a fast, accurate and NGS scalable bank-to-bank sequence similarity search tool providing significant accelerations of seeds-based heuristic comparison methods, such as the Blast suite of algorithms.

Relying on unique software architecture, PLAST takes full advantage of recent multi-core personal computers without requiring any additional hardware devices.

More at https://plast.inria.fr/

Mapping single molecule sequencing reads using Basic Local Alignment with Successive Refinement (BLASR) http://bix.ucsd.edu/projects/blasr/

MEDIPS: genome-wide differential coverage analysis of sequencing data derived from DNA enrichment experiments https://www.bioconductor.org/packages/3.3/bioc/vignettes/MEDIPS/inst/doc/MEDIPS.pdf

Highly aprreciated news Jitendra. This R tutorial is really good. It does not require any prior R knowledge and also keep user away from installation and configuration hassle.

Thanks once again.

Like :)

Nice tutorial https://www.zoology.ubc.ca/~bio336/Bio336/Lectures/Lecture14/Overheads.html

Nice evolutionary distance caculation methods @ https://www.cs.rice.edu/~nakhleh/COMP571/Slides/Phylogenetics-DistanceMethods-Full.pdf

Wow, look like very informative page. My fab. HMM for bioinformatics presentaion page http://users-cs.au.dk/cstorm/courses/PRiB_f12/slides/hmm-bioinf.pdf

You can find several bioinformatics algorithm bookmarks @ http://bioinformaticsonline.com/bookmarks/view/4098/bioinformatics-algorithm-demonstrations-and-tutorials

Sequence alignment algorithms http://www.math.utep.edu/Faculty/mleung/bioinformatics/chap0602.pdf