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

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.

Seq: A high-performance, Pythonic language for bioinformatics

Rahul Nayak — Sat, 23 Nov 2019 08:58:12 -0600

Seq is a programming language for computational genomics and bioinformatics. With a Python-compatible syntax and a host of domain-specific features and optimizations, Seq makes writing high-performance genomics software as easy as writing Python code, and achieves performance comparable to (and in many cases better than) C/C++.

Learn more by following the tutorial or from the cookbook.

Address of the bookmark: https://seq-lang.org

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

BioContainers

Jit — Thu, 20 Feb 2020 05:29:46 -0600

BioContainers is a community-driven project that provides the infrastructure and basic guidelines to create, manage and distribute bioinformatics packages (e.g conda) and containers (e.g docker, singularity). BioContainers is based on the popular frameworks Conda, Docker and Singularity.

Address of the bookmark: https://biocontainers.pro/#/

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.

Bioinformatics-focused postdoctoral fellow

Fri, 23 Oct 2020 05:52:52 -0500

Jason Thomas Ladner currently recruiting for a bioinformatics-focused postdoctoral
fellow to join the group at the Pathogen and Microbiome Institute,
Northern Arizona University (http://www7.nau.edu/ladnerlab/). This
will be a multi-year, NIH-funded position focused on the development and
utilization of a novel platform for highly multiplexed antiviral serology,
which utilizes high-throughput sequencing technology.

To apply:
https://hr.peoplesoft.nau.edu/psp/ph92prta/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&Action=U&FOCUS=Applicant&SiteId=1&JobOpeningId=604999&PostingSeq=1

For more information, feel free to contact me: jason.ladner@nau.edu

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/

bioinformatics workbook

biogeek — Tue, 05 Jan 2021 22:42:32 -0600

This books assumes that the reader has some knowledge of biology and basic understanding of the Unix command line. However, for the beginner, the appendix contains introductory material and tips/tricks for common bioinformatic problems, that is referred to for more information throughout the book.

https://bioinformaticsworkbook.org/

Address of the bookmark: https://bioinformaticsworkbook.org/

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