BOL: Related items

Coding Ground

Jitendra Narayan — Tue, 17 Mar 2015 00:47:20 -0500

Online coding group for most of the programming languages.

Code in almost all popular languages using Coding Ground. Edit, compile, execute and share your projects, 100% cloud.

http://www.tutorialspoint.com/codingground.htm

Address of the bookmark: http://www.tutorialspoint.com/codingground.htm

Rosenberg lab

Wed, 27 May 2015 17:52:24 -0500

Research. Research in the lab focuses on mathematical, statistical, and computational problems in evolutionary biology and human genetics. Long-term interests of the lab include topics such as:

Human genetic variation
Inference of human evolutionary history from genetic markers
Statistical analysis of population-genetic data
Mathematical models of gene genealogies
Theoretical population genetics
Combinatorics of evolutionary trees
The relationship between gene trees and species trees
The role of human evolutionary genetics in the search for genes that contribute to disease-susceptibility
More at https://web.stanford.edu/group/rosenberglab/index.html

Guest Faculty Job vacancies in Pondicherry University

Tue, 22 Sep 2015 23:50:16 -0500

Guest Faculty Job vacancies in Pondicherry University
Qualification : M.Phil. / M.Tech. / M.Sc. in Computer Science / Master of Computer Applications with a minimum of 55% of marks. Candidates with Ph.D. degree and NET/SLET qualification will be given preference as per UGC norms.

Desirable : Research or teaching experience in Bioinformatics and Computational Biology.
Honorarium : Rs. 1,000/- per lecture (subject to a maximum of 25,000/- per month)
How to apply

Interested eligible candidates may attend the 'walk-in' interview along with all original certificates and testimonials with a copy of their bio-data. Walk-in-interview will be held on 28.09.2015 (Monday), 03:00 P.M. at the office of the Dean, School of Life Sciences, Science Block — I, Pondicherry University, Puducherry — 605 014. Candidates reporting after 03:00 P.M. will not be entertained.

More at http://www.pondiuni.edu.in/news/walk-interview-guest-faculty-centre-bioinformatics

Kamaleshwar Singh Lab

Fri, 25 Mar 2016 10:46:49 -0500

The focus of Dr. Singh’s research and teaching is on the molecular mechanistic basis for environmental carcinogen-induced genetic (DNA damage) and epigenetic changes, and susceptibility to human cancer development

More at http://www.tiehh.ttu.edu/dr.-kamaleshwar-singh.html

Hoffman Lab

Tue, 12 Jan 2016 02:47:41 -0600

They develop machine learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpretable patterns and lead to new biological insight.

https://www.pmgenomics.ca/hoffmanlab/

Spines

Jitendra Narayan — Tue, 09 Feb 2016 05:07:15 -0600

Spines

Spines is a collection of software tools, developed and used by the Vertebrate Genome Biology Group at the Broad Institute. It provides basic data structures for efficient data manipulation (mostly genomic sequences, alignments, variation etc.), as well as specialized tool sets for various analyses. It also features three sequence alignment packages: Satsuma, a highly parallelized program for high-sensitivity, genome-wide synteny; Papaya, an all-purpose alignment tool for less diverged sequences; and SLAP, a context-sensitive local aligner for diverged sequences with large gaps.

Access Spines here.

http://www.broadinstitute.org/science/programs/genome-biology/spines

Address of the bookmark: http://www.broadinstitute.org/science/programs/genome-biology/spines

HiCdat

Jit — Fri, 12 Feb 2016 05:23:44 -0600

HiCdat: a fast and easy-to-use Hi-C data analysis tool

HiCdat is easy-to-use and provides solutions starting from aligned reads up to in-depth analyses. Importantly, HiCdat is focussed on the analysis of larger structural features of chromosomes, their correlation to genomic and epigenomic features, and on comparative studies. It uses simple input and output formats and can therefore easily be integrated into existing workflows or combined with alternative tools.

More at http://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0678-x

Address of the bookmark: https://github.com/MWSchmid/HiCdat

UCSC Genome Browser and Blat software !

Jit — Thu, 18 Feb 2016 03:18:57 -0600

This directory contains Genome Browser and Blat application binaries built for standalone
command-line use on various supported Linux and UNIX platforms. To determine which set of binaries
to download, type "uname -a" on the command line to display your machine type. In most cases the
usage statement for the application can be viewed by running the binary with no arguments.

The UCSC Genome Browser and Blat software are free for academic, nonprofit, and personal use. A
license is required for commercial download and installation of these binaries, with the exception
of items built from the following source code directories, which are freely available for all uses:

- kent/src/utils (includes big* tools)
- kent/src/lib
- kent/src/hg/autoSql
- kent/src/hg/autoXml

For information about commercial licensing of the Genome Browser software, see
http://genome.ucsc.edu/license/. The Blat and In-Silico PCR software may be commercially
licensed through Kent Informatics (http://www.kentinformatics.com).

More at http://hgdownload.cse.ucsc.edu/admin/exe/

Address of the bookmark: http://hgdownload.cse.ucsc.edu/admin/exe/

The Mills lab

Wed, 24 Feb 2016 16:18:38 -0600

The laboratory is focused on the discovery and analysis of structural variation (SVs) from genomic sequence data. As part of the 1000 Genomes Project and other endeavors, we have helped produce initial fine-scale maps using a variety of SV discovery approaches including: (i) paired-end mapping (or read pair analysis) based on abnormally mapped pairs of clone ends; (ii) read-depth analysis, which detects deletions and duplications through analysis of the read depth-of-coverage; (iii) split read analysis, which detects SVs by evaluating gapped sequence alignments; and (iv) sequence assembly, which enables the discovery of novel (non-reference) sequence insertions.

http://millslab.org/research.html

Efficient genome searching with Biostrings and the BSgenome data package

Aasha — Mon, 07 Mar 2016 05:18:06 -0600

Address of the bookmark: https://www.bioconductor.org/packages/3.3/bioc/vignettes/BSgenome/inst/doc/GenomeSearching.pdf