BOL: Related items

BINC 2015 !!!

Rahul Nayak — Sat, 11 Apr 2015 20:35:27 -0500

Pondicherry University,Puducherry,on behalf of Department of Biotechnology, Government of India, will conduct the BINC examination in2015. The objective of this examination is to certify bioinformatics professionals, trained formally as well as self-trained.Registration will open from March 9,2015 to April 30,2015. Pondicherry University, Puducherry has been identified as a nodal agency by the Department of Biotechnology, Govt. of India to coordinate this examination along with nine centres namely, Pune University, Pune; Anna University, Chennai; Calcutta University, Kolkata; Institute of Bioinformatics & Applied Biotechnology, Bangalore; North-Eastern Hill University, Shillong, University of Hyderabad, Hyderabad; University of Kerala, Thiruvananthapuram; Jawaharlal Nehru University, New Delhi and Assam Agricultural University, Guwahati. In the BINC 2013 examination,17 candidates were certified. DBT has agreed to fund Research fellowships for all the BINC qualified Indian nationals to pursue Ph.D. in Indian Institutes/Universities. Note that the candidate must possess a postgraduate degree(or equivalent) & meet the criteria of the institutes/universities in order to avail research fellowship. In addition, cash prize of Rs. 10,000/- will be awarded to the top 10 BINC qualifiers.

More at http://www.binc.co.in/College/Index_New.aspx

BINC notification http://www.binc.co.in/PdfDocuments/Notification.pdf

Few dates to remember:

Starting of online submission of application: March 9, 2015
Last date for submission of application: April 30,2015
Examination consists of two parts:
Part I (Paper I) : June 7, 2015 (10 AM-12 PM)
Part II ( Paper II & III) :June 28, 2015 (9 AM-12 PM & 2 PM-4 PM)

BINC Sample Question Paper !!!

Jitendra Narayan — Thu, 16 Apr 2015 09:16:18 -0500

BINC sample question paper. Wish you all the best for BINC examination.

Reverse Complement Problem Solved with Perl

Jit — Tue, 09 Jun 2015 23:37:23 -0500

Question at http://rosalind.info/problems/1b/

#Find the reverse complement of a DNA string.
#Given: A DNA string Pattern.
#Return: Pattern, the reverse complement of Pattern.

use strict;
use warnings;

my $string="AAAACCCGGT";
my $finalString="";
my %hash = (
   "C" => "G",
   "A" => "T",
   "T" => "A",
   "G" => "C",
);

for (my $aa=0; $aa<=(length($string)-1); $aa++) {
   my $char=substr $string, $aa, 1;
   #print $hash{$char};
   $finalString="$hash{$char}"."$finalString";
}

print $finalString;
print "\n";

At what age did you gain passion in Bioinformatics?

Jit — Tue, 23 Jun 2015 10:39:06 -0500

Most of the bioinformatician were biologist ( yeah ... not all ;), and at later stage they gain a passion in Bioinformatics and learn it. When did you get inclined towards computational analysis of biological data?

Bioinformatics Made Easy Search: Bioinformatics tools and run genomic analysis in the cloud

Rahul Nayak — Thu, 20 Aug 2015 02:21:20 -0500

InsideDNA makes hundreds of bioinformatics tools immediately available to run via an easy-to-use web interface and allows an accurate search across all functions, tools and pipelines.

With InsideDNA, you can upload and store your own genomic/genetic datasets in a limitless cloud space, and instantly analyze it with a powerful compute instance, without any tool installation or set up hassle.

More at https://insidedna.me/

Address of the bookmark: https://insidedna.me/

Choosing the Right NGS Sequencing Instrument for Your Study

Neel — Wed, 15 Jun 2022 00:37:29 -0500

The right sequencing instrument for your study depends on your project goal. Setting aside turnaround time and price, it essentially comes down to the numbers of reads and read length you need for your experiment. Below, we've described and compared metrics for each of the instruments available. If you’re new to high-throughput sequencing and have questions about how you should design your sequencing run, fill out our free consultation form and we'll get in touch with you to help.

More at https://genohub.com/ngs-instrument-guide/

Address of the bookmark: https://genohub.com/ngs-instrument-guide/

PheWAS: R package is designed to provide an accessible interface to the phenome wide association study

BioStar — Thu, 30 Jul 2020 22:06:37 -0500

The PheWAS R package is designed to provide an accessible interface to the phenome wide association study. For a description of the methods available and some simple examples, please see the package vignette or the R documentation. For installation help, see below. ##Installing the PheWAS Package The PheWAS package can be installed using the devtools package. The following code when executed in R will get you started:

install.packages("devtools")
#It may be necessary to install required as not all package dependencies are installed by devtools:
install.packages(c("dplyr","tidyr","ggplot2","MASS","meta","ggrepel","DT"))
devtools::install_github("PheWAS/PheWAS")
library(PheWAS)

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

Added video feature in BOL

Jitendra Narayan — Tue, 13 Aug 2013 17:42:16 -0500

Just in: Added video features in BOL, now you can watch and share your favourite bioinformatics video tutorials.

Share your favourite video tutorial or lectures on BOL at http://bioinformaticsonline.com/videolist/all . You can also add video in you groups.

Note: Other than bioinformatics video material/tutorial will be deleted without any prior warning.

Visual machine learning !!!

Jitendra Narayan — Wed, 29 Jul 2015 04:29:13 -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.

More at http://www.r2d3.us/visual-intro-to-machine-learning-part-1/

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

Galaxy Training Resources !

Jit — Sun, 27 Dec 2020 05:28:07 -0600

Welcome to Galaxy Training!

Collection of tutorials developed and maintained by the worldwide Galaxy community

Topic	Tutorials
Introduction to Galaxy Analyses	10
Assembly	6
Climate	3
Computational chemistry	6
Ecology	6
Epigenetics	6
Genome Annotation	3
Imaging	3
Metabolomics	4
Metagenomics	7
Proteomics	18
Sequence analysis	2
Statistics and machine learning	8
Transcriptomics	23
Variant Analysis	8
Visualisation	2

Address of the bookmark: https://training.galaxyproject.org/training-material/