BOL: Related items

The genome factory !!!

Madhvan Reddy — Thu, 16 Jan 2014 02:09:31 -0600

Illumina, Inc. announced Tuesday that its new HiSeq X Ten Sequencing System has broken the “sound barrier” of human genomics by enabling the $1,000 genome. “This platform includes dramatic technology breakthroughs that enable researchers to undertake studies of unprecedented scale by providing the throughput to sequence tens of thousands of human whole genomes in a single year in a single lab,” Illumina stated.

Initial customers for the HiSeq X Ten System, which will ship in Q1 2014, include Macrogen, based in Seoul, South Korea and its CLIA laboratory in Rockville, Maryland, the Broad Institute in Cambridge, Massachusetts, and the Garvan Institute of Medical Research in Sydney, Australia.

“For the first time, it looks like it will be possible to deliver the $1,000 genome, which is tremendously exciting,” said Eric Lander, founding director of the Broad Institute and a professor of biology at MIT. “The HiSeq X Ten should give us the ability to analyze complete genomic information from huge sample populations. Over the next few years, we have an opportunity to learn as much about the genetics of human disease as we have learned in the history of medicine.”

“The HiSeq X Ten is an ideal platform for scientists and institutions focused on the discovery of genotypic variation to enable a deeper understanding of human biology and genetic disease,” Illumina stated. “It can sequence tens of thousands of samples annually with high-quality, high-coverage sequencing, delivering a comprehensive catalog of human variation within and outside coding regions.”

HiSeq X Ten utilizes a number of advanced design features to generate massive throughput. Patterned flow cells, which contain billions of nanowells at fixed locations, combined with a new clustering chemistry deliver a significant increase in data density (6 billion clusters per run). Using state-of-the art optics and faster chemistry, HiSeq X Ten can process sequencing flow cells more quickly than ever before — generating a 10x increase in daily throughput when compared to current HiSeq 2500 performance.

The HiSeq X Ten is sold as a set of 10 or more ultra-high throughput sequencing systems, each generating up to 1.8 terabases (Tb) of sequencing data in less than three days or up to 600 gigabases (Gb) per day, per system, providing the throughput to sequence tens of thousands of high-quality, high-coverage genomes per year. Illumina says the $1,000 includes typical instrument depreciation, DNA extraction, library preparation, and estimated labor.

Rehmsmeier group

Sat, 09 Nov 2013 20:07:07 -0600

"Our research focuses on understanding development, gene regulation, and epigenetics on a genome-wide scale, in the context of evolution. This involves the design and application of algorithms, statistics, and experimental approaches."

http://www.bccs.uni.no/units/cbu/research/rehmsmeier/

Bioinformatician for a lab at the Weizmann Institute of Science, Israel

Mon, 13 Oct 2014 04:38:28 -0500

We are looking for enthusiastic, motivated and talented people, at all career stages (MSc, PhD, postdoctoral fellows), to join the lab! Bioinformatics in particular are invited to apply.
Our lab focuses on understanding molecular mechanisms of protein modifications in cancer and immune regulation.
We employ advanced high-throughput proteomic and genomic methods, cell biology, biochemistry, immunology, in-vivo models as well as systems biology and bioinformatics to study the biology of PTMs in health and disease. Read more here: http://yifatmerbl.com.

PIT Bioinformatics Group

Tue, 16 Jun 2015 14:34:26 -0500

PIT Bioinformatics Group solves problems in bioinformatics and computational biology. Recent developed online tools:

- Budapest Reference Connectome: View a parametrizable connectome (brain graph).
- AmphoraNet: The webserver implementation of the AMPHORA2 workflow for phylogenetic analysis of metagenomic shotgun sequencing data.
- AmphoraVizu: Chart visualization for metagenomics analysis tools AMPHORA2 and AmphoraNet.
- SCARF: Free online association rule mining tool.

More at: http://pitgroup.org

Algorithms for DNA Sequencing (course offered each month)

Rahul Agarwal — Sun, 26 Jul 2015 01:57:02 -0500

"We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets."

Source : https://www.coursera.org/course/ads1

Address of the bookmark: https://www.coursera.org/course/ads1

PostDoc at Jaypee Institute of Information Technology (JIIT), Noida Department of Biotechnology

Fri, 02 Feb 2018 11:13:25 -0600

Lab of Dr. Rawal is supported by generous grants to build advanced applications in emerging areas of cancer genomics, network sciences, vaccine development and epidemiology. The lab has dedicated high end Xeon servers, desktops, & laptops for research purpose. Currently, there are several researchers (JRFs, B. Techs, M. Tech and PhDs) working on several challenging bioinformatics projects. In addition, Dr. Rawal has collaborations with reputed national and international research teams.

Dr. Rawal and his US based collaborators have recently secured grant for development of vaccine against an infectious disease agent. For this project, applications are invited for the posts of Post Doctoral Fellow/Research Scientist (One Position) for the following time-bound sponsored projects as per the details given below:

PI: Dr. Kamal Rawal, Biotechnology Department, JIIT, Noida.

Essential Qualification(s) for Post Doctoral Fellow/ Research Scientist:

We are seeking an individual with expertise in analyzing literature information, text mining, network biology, data integration, and modeling. Competitive candidates would also have programming experience in scripting languages with perl, C, C++, and R programming. This position requires a PhD in Computational Biology, Bioinformatics, Biostatistics, Physics or related fields, and evidence of scientific productivity through publications in international journals. Motivation to gain an in-depth understanding of biological phenomena is required. Applications should include a current CV and names of at least three references. Application packages and inquiries regarding this position can be sent to Dr. Kamal Rawal (bioinfocvatgmaildotcom and kamaldotrawalatgmaildotcom). Screening of applications will commence immediately and the position will remain open until filled. Candidates having master’s degree with extensive experience in IT industry or research can also be considered for this post.

Salary: Rs 50000 per month.

Duration: 2 years or upto the project duration.

Number of position: 1

Candidate may also fill the following form:

https://docs.google.com/…/1FAIpQLSdZoZ21ZoNRStEeL5…/viewform

http://tinyurl.com/bioinfocv2017

Simpson Lab

Tue, 06 Mar 2018 08:59:09 -0600

We are the Statistical Bioinformatics group in the Institute for Adaptive and Neural Computation in the School of Informatics at the University of Edinburgh. The group is led by Dr. Ian Simpson who is a Lecturer in Biological Informatics in the School of Informatics at Edinburgh University. Details to follow....

http://statbio.github.io

Snakemake—a scalable bioinformatics workflow engine

Jit — Sun, 02 Sep 2018 16:32:42 -0500

Snakemake is a workflow engine that provides a readable Python-based workflow definition language and a powerful execution environment that scales from single-core workstations to compute clusters without modifying the workflow.

Address of the bookmark: https://bioconda.github.io/recipes/snakemake/README.html

Introduction to Bioinformatics

eliabrodsky — Wed, 05 Jun 2019 14:58:11 -0500

Introduction to bioinformatics is a course for biologists and clinicians that would like to learn more about the way bioinformatics is used in healthcare, biotech and pharmaceuitcal industry as well as basic research. The course covers many of the topics transformed by the emergence of big data and computational technologies. To learn more about the course, visit: https://edu.t-bio.info/course/introduction-bioinformatics/

Basic Notions in Molecular Biology and Genetics

Antony Campos — Sun, 16 Mar 2014 18:15:29 -0500

This is a presentation about some fundamental concepts applied in molecular biology and genetics, also it contains a little bit of the experience that one of our members has gained in his years of undergraduate state related to molecular cloning. Our research group, called "BIOPHARM" (Acronymus of Laboratory of Bioinformatics and Pharmacogenetics), was stablished on 2007, took it a bit of years to make it real this initative, although, nowadays, we're working on some projects involved in those fields. This research group belongs to the Department of Biochemistry, Faculty of Pharmacy and Biochemistry, Universidad Nacional Mayor de San Marcos, Lima, Perú. We try to encourage research initiatives, helping them and also we use to participate in differents courses, congress and symposiums.