BOL: Related items

PhyloHerb: A high‐throughput phylogenomic pipeline for processing genome skimming data

Abhi — Wed, 06 Sep 2023 00:14:28 -0500

Phylogenomic Analysis Pipeline for Herbarium Specimens

What is PhyloHerb: PhyloHerb is a wrapper program to process genome skimming data collected from plant materials. The outcomes include the plastid genome (plastome) assemblies, mitochondrial genome assemblies, nuclear ribosomal DNAs (NTS+ETS+18S+ITS1+5.8S+ITS2+28S), alignments of gene and intergenic regions, and a species tree. It is designed to be a high throughput program dealing with lower quality data. Examples include low-coverage (5x cpDNA) plastome phylogeny, recycling plastid genes from target enrichment data, retrieving low-copy nuclear genes from medium coverage (5x nucDNA) genome skimming.

License: GNU General Public License

Citation:

Cai, Liming, Hongrui Zhang, and Charles C. Davis. 2022. PhyloHerb: A high‐throughput phylogenomic pipeline for processing genome‐skimming data. Applications in Plant Sciences 10(3): 1–9. https://doi.org/10.1002/aps3.11475

Address of the bookmark: https://github.com/lmcai/PhyloHerb/

iMAGine - in silico MetAGenomics pipeline

BioStar — Sat, 06 Jul 2024 04:32:18 -0500

iMAGine is a metagenomic workflow which includes filtering, assembling, and binning.

This workflow includes the following tools which are needed to be installed in the system.

Address of the bookmark: https://github.com/avishekdutta14/iMAGine

Sequanix: a dynamic graphical interface for Snakemake workflows

BioStar — Wed, 12 Feb 2020 01:20:34 -0600

A Python library dedicated to NGS analysis (e.g., tools to visualise standard NGS formats).
A set of pipelines dedicated to NGS in the form of Snakefiles (Makefile-like with Python syntax based on snakemake framework) with more than 80 re-usable rules (see Rules).
Original tools to help in the creation of such pipelines including HTML reports.
Standalone applications:
1. sequana_coverage ease the extraction of genomic regions of interest and genome coverage information
2. sequana_taxonomy performs a quick taxonomy of your FastQ. This requires dedicated databases to be downloaded.
3. Sequanix: GUI for snakemake workflows, a GUI for Snakemake workflows (hence Sequana pipelines as well)
More at https://sequana.readthedocs.io/en/master/

Address of the bookmark: https://github.com/sequana/sequana

A Brief Bioinformatics Tutorial

Jit — Wed, 21 May 2014 12:50:09 -0500

This is about how to use a computer to find what is known about a gene of interest and also how to get new insights about it.

The tutorial is divided in three main parts:

In the Sequence part, you will see how to look efficiently for a particular protein sequence, how to blast it against the database of your choice to find homologues, how to perform a multiple alignment of the homologues you've selected and how to edit this alignment.
The Structure part is about molecular visualization, homology modeling and structural domain prediction.
In the Function part, you will be introduced to you 3 useful servers to investigate the function of a protein. i.e. finding interactors, co-expressed genes, see a phylogenetic profile, easily access papers citing your gene etc ...

During all the three parts, we will use the S. cerevisiae VPS36 protein as an example.

Address of the bookmark: http://www.mrc-lmb.cam.ac.uk/rlw/text/bioinfo_tuto/introduction.html

Machine Learning !!!

Gudiya Pal — Fri, 01 Jul 2016 12:57:12 -0500

In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.

Keep scrolling. Using a data set about homes, we will create a machine learning model to distinguish homes in New York from homes in San Francisco.

Address of the bookmark: http://www.r2d3.us/visual-intro-to-machine-learning-part-1/

An Introduction to Applied Bioinformatics

Jit — Fri, 02 Mar 2018 04:26:38 -0600

IAB is primarily being developed by Greg Caporaso(GitHub/Twitter: @gregcaporaso) in the Caporaso Lab at Northern Arizona University. You can find information on the courses I teach on my teaching website and information on my research and lab on my lab website.

Address of the bookmark: http://readiab.org/

Bioinformatics in Africa: Part3 - Mali

BioStar — Sat, 06 Feb 2021 13:28:44 -0600

International Center for Excellence in Research (ICER):

The ICER is a research center composed of the following three programs: 1. The Malaria Research and Training Center Parasitology Group, 2. The Malaria Research and Training Center Entomology Group 3. The SEREFO Group.

The first two programs develop biomedical researches in malaria, Filariasis and Leishmaniasis. The third program develops biomedical researches in tuberculosis and HIV.

Bioinformatics was introduced recently to the ICER and is constantly growing. The ICER has one team, headed by Sidy SOUMARE, which supports the three programmes in all their needs in informatics and bioinformatics. This team can beneficiate from some computational facilities (4 blast servers, 15 other servers and around 200 terminals), but the ICER staff needs some training in order to be able to administrate these facilities.

Research Interest and Activities: The following are the present areas of research interest: 1. Functional genomics 2. Analysis of microarray data 3. Interaction between the vector and the parasite.

Bioinformatics in Africa: Part7 - Tunisia

BioStar — Sat, 06 Feb 2021 21:25:09 -0600

Institut Pasteur de Tunis (IPT):
The IPT is a research institution founded in 1883. IPT is under the supervision of the Ministry of Health and is part of the Université El Manar of Tunis (Ministry of high Education). The missions of the institute are: Public Health Laboratory activities (PHL), Research on infectious diseases, and R/D on vaccines. Research programs are mainly oriented towards local health problems such as leishmaniais, viral hepatitis, and scorpion venoms. The group of Bioinformatics and Modelling of the IPT is hosted by the Laboratoire d’Immunopathologie Vaccinologie et Génétique Moléculaire (LIVGM), and exists since the beginning of 2005. Its present research activities include: genome annotation, EST clustering and modelling of the host/parasite response to Leishmania infection. It consists of two senior scientists, two PhD students and one MSc student

Centre de Biotechnology de Sfax (CBS):
Bioinformatics activity started at CBS in 2001 with the settingup of a research and service unit of bioinformatics. This unit currently includes one senior researcher, one engineer and four Phd students. Activities include sequence annotation (service) and three research programs: ab initio prediction of short eukaryote genes, statistical modelling by Bayesian networks approach of signal transduction pathways and statistical analysis of human sequence variation data (haplotype reconstruction and linkage disequilibrium). Activities of the Bioinformatics unit could be found at the website: http://www.cbs.rnrt.tn/ and the research activity report is available under request to Bioinformatics@cbs.rnrt.tn. Although the computing facilities are good, there is still a need for trained human resources to strengthen bioinformatics capacities at CBS, particularly in structural bioinformatics.

Web site and links: http://www.cbs.rnrt.tn

Apache server setting !

Abhi — Fri, 29 Oct 2021 04:29:51 -0500

Apache is an open source web server that’s available for Linux servers free of charge.

In this tutorial we’ll be going through the steps of setting up an Apache server.

What you’ll learn

How to set up Apache
Some basic Apache configuration

Address of the bookmark: https://ubuntu.com/tutorials/install-and-configure-apache#3-creating-your-own-website

Seeing Theory and Learn

LEGE — Tue, 04 Jun 2024 00:31:54 -0500

Seeing Theory was created by Daniel Kunin while an undergraduate at Brown University. The goal of this website is to make statistics more accessible through interactive visualizations (designed using Mike Bostock’s JavaScript library D3.js).

Address of the bookmark: https://seeing-theory.brown.edu/