BOL: Related items

Tijana Milenkovic Lab

Fri, 30 Aug 2013 06:45:20 -0500

Complex networks and network mining: developing graph theoretic, mathematical, and computational algorithms for efficient extraction of function from topology of complex real-world networks, such as biological, social, and technological networks.

Computational and systems biology: studying the interplay between network topology and biological function, disease, and evolution in molecular (e.g., protein-protein interaction) networks.

Computational chemistry: protein folding; computational drug discovery and design.

Synthetic biology.

More at http://www.cse.nd.edu/~tmilenko/index.html

Tigers genome sequenced

Rahul Agarwal — Tue, 17 Sep 2013 16:48:24 -0500

Fifteen scientists led by Dr Jong Bhak of Genome Research Foundation, South Korea, decoded as many as 3 billion nucleotides (organic molecules that form the basic building blocks of nucleic acids, such as DNA). They identified 20,000 genes related to various functions of the tiger.

The biggest and perhaps most fearsome of the world's big cats, the tiger, shares 95.6 percent of its DNA with humans' cute and furry companions, domestic cats.

The new research showed that big cats have genetic mutations that enabled them to be carnivores. The team also identified mutations that allow snow leopards to thrive at high altitudes.

Reference:

http://www.nbcnews.com/science/your-cat-ferocious-tigers-share-lot-95-6-percent-their-4B11182690

http://timesofindia.indiatimes.com/home/environment/flora-fauna/Gene-mapping-of-tiger-completed/articleshow/22671681.cms

Paper:

http://www.nature.com/ncomms/2013/130917/ncomms3433/full/ncomms3433.html

NCBI PSI-BLAST Tutorial

Wed, 04 Sep 2013 11:46:06 -0500

http:--www.biotechnology.jhu.edu- Tutorial for PSI-BLAST, an extension of BLAST that uses matrix algebra. BLAST is a cornerstone bioinformatics tool at NCBI. BLAST is the Basic Local Alignment Search tool and will protein and DNA sequences that are related to a sequence that the user provides.

Opera: An optimal genome scaffolding program

Jit — Mon, 27 Nov 2017 10:18:20 -0600

Opera (Optimal Paired-End Read Assembler) is a sequence assembly program (http://en.wikipedia.org/wiki/Sequence_assembly ). It uses information from paired-end or long reads to optimally order and orient contigs assembled from shotgun-sequencing reads.

An updated version called OPERA-LG has been re-engineered with features for the assembly of large and complex genomes.

Song Gao, Denis Bertrand, Burton K. H. Chia and Niranjan Nagarajan. OPERA-LG: efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees. Genome Biology, May 2016, doi: 10.1186/s13059-016-0951-y.

Song Gao, Wing-Kin Sung, Niranjan Nagarajan. Opera: reconstructing optimal genomic scaffolds with high-throughput paired-end sequences. Journal of Computational Biology, Sept. 2011, doi:10.1089/cmb.2011.0170.

https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0951-y

Address of the bookmark: https://sourceforge.net/projects/operasf/

JRF @ BHARATHIDASAN UNIVERSITY

Sat, 07 Sep 2013 14:20:03 -0500

Department of Bioinformatics
School of Life Sciences
BHARATHIDASAN UNIVERSITY,
TIRUCHIRAPPALLI-620 024

WALK-IN-INTERVIEW FOR JUNIOR RESEARCH FELLOWSHIP

Project title: Structural and Functional Evolution of Bacterial ADP-ribosylation Superfamily–A Special Emphasis for Engineering Immunotoxins from Binary toxin A Funding Agency: Life Science Research Board, Defence Research and Development Organization, New Delhi

Tenure of the project: Three years or till the end of the project period.

Position: Junior Research Fellow (1 no.)

Essential qualification: First class in M.Sc. in Genomics/Biotechnology/ Microbiology/ Biochemistry/Life Sciences

Desirable qualification: Experience in an area relevant (Molecular Microbiology, Protein engineering and Structural Bioinformatics) to the project.

Fellowship: Rs. 16, 000 per month plus HRA as per University rule.

Upper age limit: 28 years

Date of interview: 16-09-2013

Venue of interview: Department of Bioinformatics, Bharathidasan University, Tiruchirappalli -620 024, Tamil Nadu

The above post is purely temporary and will be terminated with three month notice. The Terms and the condition of the appointment shall be governed according to DRDO, Govt. of India. The eligible candidates will bring their original certificates and documents at the time of interview. No TA/DA will be paid for attending the interview.

Dr. P. CHELLAPANDI
Principal Investigator,
Department of Bioinformatics,
Bharathidasan University,
Tiruchirappalli -620 024, Tamil Nadu

Advertisement: http://www.bdu.ac.in/tender_list.php

Bandage: interactive visualization of de novo genome assemblies

Shruti Paniwala — Mon, 04 Dec 2017 10:09:37 -0600

Bandage (a Bioinformatics Application for Navigating De novo Assembly Graphs Easily) is a tool for visualizing assembly graphs with connections. Users can zoom in to specific areas of the graph and interact with it by moving nodes, adding labels, changing colors and extracting sequences. BLAST searches can be performed within the Bandage graphical user interface and the hits are displayed as highlights in the graph. By displaying connections between contigs, Bandage presents new possibilities for analyzing de novo assemblies that are not possible through investigation of contigs alone.

Availability and implementation: Source code and binaries are freely available at https://github.com/rrwick/Bandage. Bandage is implemented in C++ and supported on Linux, OS X and Windows. A full feature list and screenshots are available at http://rrwick.github.io/Bandage.

Address of the bookmark: http://rrwick.github.io/Bandage/

Bioinformatics definitions and applications !!!

Jit — Thu, 12 Sep 2013 15:04:36 -0500

There have been long discussion amongst several specialized/expert educator regarding bioinformatics arena, but everyone explain bioinformatics with their own view. I tried to explain it with a cartoon. Hope you all will like it.

HIV PhD and MSc Research Positions

Mon, 16 Sep 2013 18:55:44 -0500

SANBI are looking to recruit two MSc students and a PhD student who are interested in implementing a computational biology approach to explore HIV’s glycan shield. Successful candidates for the MSc should hold an honours degree in physics, computer science or biological sciences while PhD applicants should hold an honours degree and a MSc in one or more of physics, computer science or biological sciences.

As these positions are funded by the South African National Research Foundation (NRF) priority will be given to South African citizens and permanent residents however exceptional applicants who do not fulfil these criteria may be considered.

Applications including a CV outlining your experience together with a cover letter detailing why you are a suitable candidate should be sent to simon_at_sanbi.ac.za by 30th September 2013.

More @ http://www.sanbi.ac.za/hiv-phd-and-msc-research-positions/

MUMmer4: A fast and versatile genome alignment system

Jit — Sat, 03 Feb 2018 04:59:17 -0600

MUMmer4, a substantially improved version of MUMmer that addresses genome size constraints by changing the 32-bit suffix tree data structure at the core of MUMmer to a 48-bit suffix array, and that offers improved speed through parallel processing of input query sequences. With a theoretical limit on the input size of 141Tbp, MUMmer4 can now work with input sequences of any biologically realistic length. We show that as a result of these enhancements, the nucmer program in MUMmer4 is easily able to handle alignments of large genomes;

Address of the bookmark: https://mummer4.github.io/

Giovanni Parmigiani Lab

Fri, 20 Sep 2013 13:21:41 -0500

Scientific Interests:

Models and software for predicting who is at risk of carrying genetic variants that confer susceptibility to cancer. Application to breast, ovarian, colorectal, pancreatic and skin cancer.

Statistical methods for the analysis of high throughput genomic data: analysis of cancer genome sequencing projects; integration of genomic information across technologies; cross-study validation of genomics results.

Statistical methods for comparative effectiveness research: comprehensive models for lifetime history of chronic disease outcomes; Bayesian meta-analysis; Bayesian causal inference; decision analysis.

Bayesian modeling and computation: multilevel models; decision theoretic approaches to inference; sequential experimental design and their application to adaptive and multistage studies in clinical and epidemiological research.

http://bcb.dfci.harvard.edu/~gp/index.html

http://scholar.google.com/citations?user=OlpYP3UAAAAJ&hl=en