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It is time for RData files to become the standard for Data Transfer

It is time for RData files to become the standard for Data Transfer | Bioinformatics Training | Scoop.it
It is time Rdata files become the primary means of disseminating publicly available data online.1. R is the most efficient Statistical software at compressing d

Via Niklaus Grunwald, rougeforfire
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rougeforfire's curator insight, March 26, 2014 6:22 AM

Your csv is too big to sennd/keep/submit ? Give a shot to Rdata type !!

Bioinformatics Training
Bioinformatics, blended with education and health sciences subjects
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600 websites about R

600 websites about R | Bioinformatics Training | Scoop.it
Anyone interested in categorizing them? It could be an interesting data science project, scraping these websites, extracting keywords, and categorizing them wi…
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Genomics: The Science and Application of Genomic Testing for Nutrition Professionals - Part One

Nutrition Professionals who want to provide personalized recommendations using genomic testing will want to view this webinar! As nutrition professionals, we ...
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This is the first app that integrates all wearables into a hospital's ... - iMedicalApps

This is the first app that integrates all wearables into a hospital's ... - iMedicalApps | Bioinformatics Training | Scoop.it
The MyCarolinas Tracker health app integrates patient generated data from their wearables into their electronic health record.
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Stanford Course - New Frontiers in Cancer Genomics

Preview the online course: New Frontiers in Cancer Genomics (XGEN206) Info: http://geneticscertificate.stanford.edu/ New research shows that genetic ...
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100,000 Genomes Project, Genomics England

In 2012 the UK government made a major commitment to setting up one of the largest gene sequencing projects in the world. Facilitated by the UK's universally ...
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Readers’ Definitions of Ed-Tech Buzzwords: Confusion and Skepticism Continue

Professors, administrators, and ed-tech vendors don’t always speak the same language when it comes to talking about experimental approaches to teaching and research.
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Biological significance of targeting - Ruedi Aebersold - Targeted Proteomics Course - ETHZ 2015

Biological significance of targeted proteomics experiments.
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Understanding Bioinformatics: Finding the Biology in a List of Genes

This tutorial uses a crime-solving analogy to explain how bioinformatics can be used to find the relevant biology in a list of genes. Topics covered include ...
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Rescooped by Pedro Fernandes from Digital Delights - Digital Tribes
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Need Reasons To Use Gamification? - Infographic

Need Reasons To Use Gamification? - Infographic | Bioinformatics Training | Scoop.it

Via Ana Cristina Pratas
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EMBL-EBI: Celebrating 20 years of bioinformatics

In 2014, the European Molecular Biology Laboratory (http://www.embl.org) turns 40 and its UK site, the European Bioinformatics Institute (http://www.ebi.ac.uk), ...
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GTPB: PDA15 - Proteomics Data Analysis - Home

GTPB: PDA15 - Proteomics Data Analysis - Home | Bioinformatics Training | Scoop.it
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Course description

Mass spectrometry based proteomic experiments generate ever larger datasets and, as a consequence, complex data interpretation challenges. In this course, the concepts and methods required to tackle these challenges will be introduced, covering both protein identification and quantification. The course will rely exclusively on free and user friendly software, all of which can be directly applied in your lab upon your return from the course.

An introduction to the available online resources and repositories will also be given. Here you will see how to link the results from proteomic experiments with external data to conduct pathway, gene ontology and interaction analyses.
In the course, you will also learn how to submit data to the ProteomeXchange online repositories, and how to browse and reprocess publicly available data from these repositories.

The course will provide a solid basis for beginners, but also new perspectives to those already familiar with standard data interpretation procedures in proteomics.

Course Pre-requisites

The participants should have a basic knowledge about mass spectrometry based proteomics. Experience in analyzing proteomics data is an advantage, but not mandatory. The course does not require advanced computer skills.

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GTPB: PGDH15 - Population Genetics and Demographic History: model-based approaches - July 6th-9th

GTPB: PGDH15 - Population Genetics and Demographic History: model-based approaches - July 6th-9th | Bioinformatics Training | Scoop.it
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Course description

Genetic data are increasingly used by ecologists and evolutionary biologists in general. It has thus become important for many biologists with different levels of experience to produce and analyse genetic (and genomic) data. In this course we will take a practical approach to the analysis of genetic data, but we will also provide some of the theoretical background required to understand the outputs of the software used. This course will be organised so as to mix lectures where important notions are introduced with practicals where freely available software will be used. While this will not be the focus of the course, we will also introduce and discuss genealogical (coalescent-based) simulation methods and those based on forward-in-time simulations. Altogether this will allow to discuss the potentialities and limitations of the tools available to the community.

In this four-day course we will introduce the main concepts that underlie many of the models that are frequently used in population genetics. We will focus on the importance of demographic history (e.g. effective sizes and migration patterns) in shaping genetic data. We will go through the basic notions that are central to population genetics, insisting particularly on the statistics used to measure genetic diversity and population differentiation. The course will also cover a short introduction to coalescent theory, Bayesian inference in population genetics and data simulation, as they are connected to what makes landscape genetics today on the basis of multilocus data. We will also introduce two methods that have been recently developed to analyse genomic data. The PSMC of Li and Durbin reconstructs the demographic history of a species or population with the genome of a single individual. The Rehh package is an R implementation of the Extended Haplotype Homozygosity (EHH) test for selective sweeps and looks for signals of selection based on the analysis of genomic regions.

Most theory will be put into practice in practical sessions, analyzing real and/or simulated datasets. In these sessions, we will look at measures of genetic diversity and differentiation and use methods to detect population structure as implemented in the program STRUCTURE and discuss related programs such as FastSTRUCTURE. We will learn how to perform coalescent simulations of genetic data (using SPAms and ms). Some exercises will make use of R scripts (R being a freely available statistical program). Basic R knowledge is a pre-requisite but we will provide a short introduction to R. The R statistical package is a very powerful tool to analyse data outputs from many population genetics software, and can also be used to simulate genetic data under simple demographic scenarios.

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Hybrid De Novo Genome Assembly Using MiSeq and SOLiD Short Read Data

Hybrid  De Novo  Genome Assembly Using MiSeq and SOLiD Short Read Data | Bioinformatics Training | Scoop.it
A hybrid de novo assembly pipeline was constructed to utilize both MiSeq and SOLiD short read data in combination in the assembly.

Via Mel Melendrez-Vallard
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What Google’s New Open-Source Software Means for Artificial-Intelligence Research

What Google’s New Open-Source Software Means for Artificial-Intelligence Research | Bioinformatics Training | Scoop.it
Google wants the artificial-intelligence software that drives the company’s Internet searches to become the standard platform for computer-science scholars in their own experiments.
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Biological significance of targeting - Ruedi Aebersold - Targeted Proteomics Course - ETHZ 2015

Biological significance of targeted proteomics experiments.
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Lee Hood: ‘Creative Thinker Who’s Changing the World’

Lee Hood: ‘Creative Thinker Who’s Changing the World’ | Bioinformatics Training | Scoop.it
In the November issue of Alaska Airlines Magazine, ISB President Dr. Lee Hood is featured as one of five creative thinkers who are changing the world.
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MOOCs Are Still Rising, at Least in Numbers

MOOCs Are Still Rising, at Least in Numbers | Bioinformatics Training | Scoop.it
When one of the first massive open online courses appeared at Stanford University, 160,000 students enrolled. It was 2011, and fewer than 10 MOOCs existed worldwide.
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Mass. Doctors Join To Vent Frustrations With Electronic Health Records - WBUR

Mass. Doctors Join To Vent Frustrations With Electronic Health Records - WBUR | Bioinformatics Training | Scoop.it
Massachusetts doctors are so fed up with federal electronic medical record requirements -- and so concerned about the next phase, expected to kick in soon -- that they're joining for a "town hall" meeting, backed by the AMA, to air their EMR woes.
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MSK Bioinformatics Careers

Discover the innovation happening within the Bioinformatics group at Memorial Sloan Kettering Cancer Center. Search jobs: www.mskcc.org/jobs Join us on ...
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Huh? Schools Think Kids Don’t Want to Learn Computer Science

Huh? Schools Think Kids Don’t Want to Learn Computer Science | Bioinformatics Training | Scoop.it
The demand for coders is huge. But a new survey finds that schools don't think computer science is what kids (or their parents) want.
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What is PROSITE ? know this BIOINFORMATICS tool

What is PROSITE? Learn all about this Bioinformatics tool that tells about protein sequences studies and analysis. Read History of PROSITE and get definitions ...
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GTPB: BPBR15 Bioinformatics using Python for Biomedical Researchers - July 20th-24th

GTPB: BPBR15 Bioinformatics using Python for Biomedical Researchers - July 20th-24th | Bioinformatics Training | Scoop.it
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Course Description

Python is an object-oriented programming language that is ideal for biological data analysis. The course will start from zero knowledge, and will introduce the participants to all the basic concepts of Python such as calculating, organizing data, reading and writing files, program logic and writing larger programs. All the examples and practical sessions will focus on solving biological problems. In particular the sessions will cover:

working with DNA and protein sequencesdata retrieval from files and their manipulationrunning applications, such as BLAST, locally and from a scriptfinding motifs in sequenceparsing common file formats (Uniprot, GenBank, PDB, BLAST) with Biopythonways to find and correct program errors

The course will be highly interactive and the students will continuously put theory into practice while learning. By the end of the course, the participants will have a good understanding of Python basics and will have acquired the skills to manage any type of bioinformatics database record and to run applications from scripts. Basic Unix/Linux skills will be provided at the beginning of the course. Target Audience End-users of bioinformatics databases and tools that aim at developing hands-on capabilities for biological data analysis, ie writing their own or adapting somebody else's Python scripts in an autonomous way. Course Pre-requisites Basic familiarity with bioinformatics data resources such as Uniprot/Swiss-Prot, Blast, ENSEMBL, PDB, etc. The course is directed to biologists with little or no programming experience and aims at making them capable to use Python to autonomously manage and analyse biological data.

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Coding Boot Camps Are on the Rise

Coding Boot Camps Are on the Rise | Bioinformatics Training | Scoop.it
The unaccredited education programs known as coding boot camps are proliferating, and gaining more students.
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