BOL: Related items

Statistics of current Sequencing and Bioinformatics market

Rahul Agarwal — Wed, 21 Aug 2013 08:29:21 -0500

This survey conducted by Oxford Gene Technology, provider of innovative genetics research and biomarker solutions to advance molecular medicine, has released the results from a recent survey of researchers using next generation sequencing. (Source:http://www.news-medical.net/news/20130821/Oxford-Gene-Technology-releases-next-generation-sequencing-survey-results.aspx )

Address of the bookmark: http://www.ogt.com/assets/0000/3190/NGS_Survey_2013_Infographic_Web.pdf

Bioinformatics course and lectures

Rahul Agarwal — Tue, 03 Sep 2013 16:41:02 -0500

http://openwetware.org/wiki/User:Jarle_Pahr/Bioinformatics

Address of the bookmark: http://gtpb.igc.gulbenkian.pt/bicourses/index.html

New born babies get ready to know their whole genome soon!!!

Rahul Agarwal — Thu, 05 Sep 2013 07:24:02 -0500

USA launch a pilot projects to examine medical information of newborn baby, which are being funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and the National Human Genome Research Institute (NHGRI), both parts of the National Institutes of Health.

Awards of $5 million to four grantees have been made in fiscal year 2013 under the Genomic Sequencing and Newborn Screening Disorders research program. The program will be funded at $25 million over five years, as funds are made available.

"Hundreds of US babies will be pioneers in genomic medicine through a US$25-million programme to sequence their genomes soon after they are born."

Source:

http://blogs.nature.com/news/2013/09/scientists-to-sequence-hundreds-of-newborns-genomes.html

http://www.genome.gov/27554919

Role of microbes in forensic science

Rahul Agarwal — Sun, 29 Sep 2013 10:07:20 -0500

"Studies on decomposing mice suggest that the microbial content of a corpse can offer clues as to how old a body is and the approximate time that death occurred."

Read more: http://www.digitaljournal.com/article/359185#ixzz2gIJFVHRo

http://www.colorado.edu/news/releases/2013/09/24/new-cu-boulder-led-study-finds-%E2%80%98microbial-clock%E2%80%99-may-help-determine-time

Paper:

http://www.elifesciences.org/wp-content/uploads/2013/09/eLife.01104_INPRESS.pdf

The First 50 Plant Genomes

Rahul Agarwal — Mon, 21 Oct 2013 11:19:35 -0500

Plant scientists can exploit available 50 plant complete genomic data for their resequencing or other related projects for understanding the genetic mechanism behind their different traits and molecular evolution. Complete information about these plant genomes given in paper link.

https://www.crops.org/publications/tpg/articles/6/2/plantgenome2013.03.0001in

Address of the bookmark: https://www.crops.org/publications/tpg/pdfs/6/2/plantgenome2013.03.0001in

Bioinformatics job in Genotypic Tech, India

Mon, 07 Apr 2014 08:20:54 -0500

Genotypic Technology, the first Genomics Company of India is poised to become the next generation life sciences company. We are hiring professionals for our high end Genomics Labs (Molecular Biology/ Microarray/NGS) and Bioinformatics groups.

Apply to Genotypic Technology if you are a PhD in Life Sciences/ Molecular Biology/ Biotechnology/ Human Genetics/ Bioinformatics with minimum 4-5 years post doctoral experience as well as publications in peer reviewed journals.

Source: http://www.genotypic.co.in/Careers/2/Current-Openings.aspx

International Conference on Bioinformatics Models, Methods and Algorithms

Rahul Agarwal — Sun, 05 Oct 2014 11:42:52 -0500

The purpose of the International Conference on Bioinformatics Models, Methods and Algorithms is to bring together researchers and practitioners interested in the application of computational systems and information technologies to the field of molecular biology, including for example the use of statistics and algorithms to understanding biological processes and systems, with a focus on new developments in genome bioinformatics and computational biology. Areas of interest for this community include sequence analysis, biostatistics, image analysis, scientific data management and data mining, machine learning, pattern recognition, computational evolutionary biology, computational genomics and other related fields.

Position Paper Submission Extension: October 9, 2014
Regular Paper Authors Notification: November 3, 2014
Position Paper Authors Notification: November 6, 2014
Regular and Position Paper Camera Ready and Registration: November 17, 2014

Address of the bookmark: http://www.bioinformatics.biostec.org/

INC-Seq: accurate single molecule reads using nanopore sequencing

Jit — Mon, 27 Nov 2017 10:38:56 -0600

INC-Seq reads enabled accurate species-level classification, identification of species at 0.1 % abundance and robust quantification of relative abundances, providing a cheap and effective approach for pathogen detection and microbiome profiling on the MinION system.

Address of the bookmark: https://github.com/CSB5/INC-Seq

TelomereHunter

Jit — Fri, 02 Feb 2018 04:23:59 -0600

TelomereHunter is a tool for estimating telomere content from human whole-genome sequencing data. It is designed to take BAM files from a tumor and a matching control sample as input. However, it is also possible to run TelomereHunter with one input file. TelomereHunter extracts and sorts telomeric reads from the input sample(s). For the estimation of telomere content, GC biases are taken into account. Finally, the results of TelomereHunter are visualized in several diagrams.

TelomereHunter is available for download at the following address: https://pypi.python.org/pypi/telomerehunter/

Address of the bookmark: http://www.dkfz.de/en/applied-bioinformatics/telomerehunter/telomerehunter.html

MECAT: fast mapping, error correction, and de novo assembly for single-molecule sequencing reads

Rahul Nayak — Fri, 11 May 2018 05:07:45 -0500

MECAT is an ultra-fast Mapping, Error Correction and de novo Assembly Tools for single molecula sequencing (SMRT) reads. MECAT employs novel alignment and error correction algorithms that are much more efficient than the state of art of aligners and error correction tools. MECAT can be used for effectively de novo assemblying large genomes. For example, on a 32-thread computer with 2.0 GHz CPU , MECAT takes 9.5 days to assemble a human genome based on 54x SMRT data, which is 40 times faster than the current PBcR-Mhap pipeline. MECAT performance were compared with PBcR-Mhap pipeline, FALCON and Canu(v1.3) in five real datasets. The quality of assembled contigs produced by MECAT is the same or better than that of the PBcR-Mhap pipeline and FALCON.

https://www.nature.com/articles/nmeth.4432

Address of the bookmark: https://github.com/xiaochuanle/MECAT