BOL: All site bookmarks

DendroPy: a Python library for phylogenetic computing

Seema Singh — Mon, 23 Apr 2018 05:49:50 -0500

DendroPy is a Python library for phylogenetic computing. It provides classes and functions for the simulation, processing, and manipulation of phylogenetic trees and character matrices, and supports the reading and writing of phylogenetic data in a range of formats, such as NEXUS, NEWICK, NeXML, Phylip, FASTA, etc. Application scripts for performing some useful phylogenetic operations, such as data conversion and tree posterior distribution summarization, are also distributed and installed as part of the libary. DendroPy can thus function as a stand-alone library for phylogenetics, a component of more complex multi-library phyloinformatic pipelines, or as a scripting “glue” that assembles and drives such pipelines.

The primary home page for DendroPy, with detailed tutorials and documentation, is at:

http://dendropy.org/

DendroPy is also hosted in the official Python repository:

http://packages.python.org/DendroPy/

Requirements and Installation

DendroPy 4.x runs under Python 3 (all versions > 3.1) and Python 2 (Python 2.7 only).

You can install DendroPy by running:

More information is available here:

http://dendropy.org/downloading.html

Documentation

Full documentation is available here:

http://dendropy.org/

This includes:

A comprehensive “getting started” primer .

API documentation .

Descriptions of data formats supported for reading/writing .

and more.

Address of the bookmark: https://pypi.org/project/DendroPy/

Heap: a highly sensitive and accurate SNP detection tool for low-coverage high-throughput sequencing data

Jit — Thu, 19 Apr 2018 08:06:03 -0500

Heap, that enables robustly sensitive and accurate calling of SNPs, particularly with a low coverage NGS data, which must be aligned to the reference genome sequences in advance. To reduce false positive SNPs, Heap determines genotypes and calls SNPs at each site except for sites at the both end of reads or containing a minor allele supported by only one read. Performance comparison with existing tools showed that Heap achieved the highest F-scores with low coverage (7X) restriction-site associated DNA sequencing reads of sorghum and rice individuals. This will facilitate cost-effective GWAS and GP studies in this NGS era. Code and documentation of Heap are freely available from https://github.com/meiji-bioinf/heap and our web site (http://bioinf.mind.meiji.ac.jp/lab/en/tools.html).

Address of the bookmark: https://github.com/meiji-bioinf/heap

PSPairwise Sequentially Markovian Coalescent (PSMC) model

Jit — Thu, 19 Apr 2018 05:29:23 -0500

Implementation of the Pairwise Sequentially Markovian Coalescent (PSMC) model

Address of the bookmark: https://github.com/lh3/psmc

AlignGraph: algorithm for secondary de novo genome assembly guided by closely related references

Manisha Mishra — Tue, 17 Apr 2018 16:21:20 -0500

AlignGraph is a software that extends and joins contigs or scaffolds by reassembling them with help provided by a reference genome of a closely related organism.

Using AlignGraph

AlignGraph --read1 reads_1.fa --read2 reads_2.fa --contig contigs.fa --genome genome.fa --distanceLow distanceLow --distanceHigh distancehigh --extendedContig extendedContigs.fa --remainingContig remainingContigs.fa [--kMer k --insertVariation insertVariation --coverage coverage --part p --fastMap --ratioCheck --iterativeMap --misassemblyRemoval --resume]

Address of the bookmark: https://github.com/baoe/AlignGraph

SciLifeLab tutorial for bioinformatics analysis !

Jit — Tue, 17 Apr 2018 04:33:00 -0500

SciLifeLab is a national center for molecular biosciences with focus on health and environmental research.

Courses

Old courses (2012-2014)

G-compass: a comparative genome browser

Jit — Thu, 12 Apr 2018 10:00:27 -0500

G-compass (http://www.h-invitational.jp/g-compass/) is a comparative genome browser. It visualizes evolutionarily conserved genomic regions between human and other 12 vertebrates based on original genome alignments pursuing higher coverage (1,2). Annotations of human genes/transcripts and their ortholog information were derived from H-InvDB and its subdatabase Evola, respectively. G-compass is available for free of charge. [ Sample ]

Address of the bookmark: http://www.h-invitational.jp/g-compass/

CrusView

Jit — Thu, 12 Apr 2018 09:22:03 -0500

CrusView is a java based tool for karyotype/genome visualization and comparison of crucifer Species. It also integrates an binary version of KGBassembler and a post-modification step for its assembling result.

Address of the bookmark: http://www.cmbb.arizona.edu/?page_id=250

d3Network:Tools for creating D3 JavaScript network, tree, dendrogram, and Sankey graphs from R.

Jit — Fri, 06 Apr 2018 12:10:45 -0500

Mike Bostock’s D3.js is great for creating interactive network graphs with JavaScript. The d3Network package makes it easy to create these network graphs from R. The main idea is that you should able to take an R data frame with information about the relationships between members of a network and create full network graphs with one command.

Address of the bookmark: http://christophergandrud.github.io/d3Network/

sankeyNetwork with networkD3

Jit — Fri, 06 Apr 2018 12:07:55 -0500

You can also create Sankey diagrams with sankeyNetwork. Here is an example using downloaded JSON data:

https://en.wikipedia.org/wiki/Sankey_diagram

Address of the bookmark: https://christophergandrud.github.io/networkD3/#sankey

MMseqs2.0: ultra fast and sensitive protein search and clustering suite

Jit — Thu, 22 Mar 2018 10:40:51 -0500

MMseqs2 (Many-against-Many sequence searching) is a software suite to search and cluster huge protein sequence sets. MMseqs2 is open source GPL-licensed software implemented in C++ for Linux, MacOS, and (as beta version, via cygwin) Windows. The software is designed to run on multiple cores and servers and exhibits very good scalability. MMseqs2 can run 10000 times faster than BLAST. At 100 times its speed it achieves almost the same sensitivity. It can perform profile searches with the same sensitivity as PSI-BLAST at over 400 times its speed.

The MMseqs2 user guide is available as Github Wiki or as PDF file (Thanks to pandoc!)

Please cite: Steinegger M and Soeding J. MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets. Nature Biotechnology, doi: 10.1038/nbt.3988 (2017).

Address of the bookmark: https://github.com/soedinglab/MMseqs2

BOL: All site bookmarks

DendroPy: a Python library for phylogenetic computing

Requirements and Installation

Documentation

Heap: a highly sensitive and accurate SNP detection tool for low-coverage high-throughput sequencing data

PSPairwise Sequentially Markovian Coalescent (PSMC) model

AlignGraph: algorithm for secondary de novo genome assembly guided by closely related references

SciLifeLab tutorial for bioinformatics analysis !

Courses

Metagenomics Workshop

Introduction to Bioinformatics Using NGS Data

Introduction to Genome Annotation

De Novo Genome Assembly

RNA-seq course

R Programming Foundations for Life Scientists

Single cell RNA sequencing analysis

G-compass: a comparative genome browser

CrusView

d3Network:Tools for creating D3 JavaScript network, tree, dendrogram, and Sankey graphs from R.

sankeyNetwork with networkD3

MMseqs2.0: ultra fast and sensitive protein search and clustering suite