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8:22 AM




Bioinformatics Law: Legal Issues for Computational Biology in the Post-Genome Era
About the Book  (source:-American Bar Association)

The human genome sequence is being studied in thousands of laboratories across the world, new associations between genetic variations and disease and physiological traits are announced each week, and the databases containing the accumulated genomic data of the research community are growing at rates that are orders of magnitude greater than those seen by the original HGP. We are living in what many have termed the "post-genome" era, a time in which the availability of the human genome sequence is taken as a given, and in which it serves not as the goal, but as a starting point for multiple new and innovative research endeavors.

In this concise volume, you'll find a collection of cutting-edge research and commentary from leading scholars, bioethicists and legal practitioners in an attempt to cover the broad and ever-changing intersection of law and bioinformatics. The book begins with an overview of the evolving bioinformatics field then explores legal issues surrounding the software tools that enable large-scale computational biology, including procurement and licensing of commercial software systems, in-house and contracted software development and issues surrounding open source software.

The book also covers the complex intellectual property landscape that characterizes the field, first addressing patents on computer software, algorithms and related inventions, and then moving to the highly contested issues surrounding patents on human genetic material. Also covered are the legal aspects of the research environments in which bioinformatics work is increasingly conducted, including biopharma collaborations and university R&D.

Additionally, you'll find information on the novel legal issues arising from the development and use of standardized technologies in bioinformatics, the protection and use of databases in bioinformatics research and important issues relating to patient and research subject data, including information security and privacy, informed consent and public health surveillance.

The field of bioinformatics continues to evolve rapidly, while the legal rules, doctrines and practices attempt to catch up. This volume is a useful resource for lawyers, researchers, policy makers and scholars who seek insight into the complex intersection of law and bioinformatics in this post-genome era.

Databases containing the accumulated genomic data of the research community are growing exponentially. This book contains cutting-edge insights from scholars, bioethicists and legal practitioners who work at the ever-changing intersection of law and bioinformatics.

Bioinformatics Law examines legal issues associated with software tools for large-scale computational biology, including procurement and licensing of commercial software systems, in-house and contracted software development, and open source software. Other topics include:
  • The complex intellectual property landscape that characterizes this field, including patents on computer software, algorithms and related inventions, and highly contested issues surrounding patents on human genetic material
  • Legal considerations for research environments: biopharma collaborations, the use of standardized technologies in bioinformatics, and protection and use of databases in bioinformatics research
  • Patient and subject data; information security and privacy, informed consent, and public health surveillance
More Information

Contents PDF
Foreword PDF
Afterword PDF
About the Authors PDF

6:07 AM
Biomedical imaging

About this course

Imaging technologies form a significant component of the health budgets of all developed economies, and most people have need of advanced imaging during their life. All of us are aware of the misinformation sometimes portrayed in TV dramas, which either exaggerates the benefits or overemphasises the risks. This course will provide an introduction to the physics and engineering of modern imaging modalities, and introduce some of the key applications, in neurological disease, degenerative disease and oncology. It will include modules that will be of interest to the general public, whilst also providing some advanced modules which will contribute to professional development in health, engineering and the IT industry.


Course staff

Professor Graham Galloway

Prof. Graham Galloway (Co-ordinator)

Graham Galloway is Group Leader for Biomedical Imaging and Spectroscopy at the Centre for Advanced Imaging, UQ. His research interests include the use of in vivo Magnetic Resonance to test the efficacy of pharmaceutical agents, novel applications for the use of Magnetic Resonance in physiological studies and material sciences, and in pushing the boundaries of the technology into new applications. His role in all projects is characterised by his multidisciplinary background, which ensures that he is able to draw together these apparently disparate threads. Professor Galloway is also Director of Operations for the National Imaging Facility (NIF). NIF now has 10 nodes across Australia, delivering MRI, PET, CT, Ultrasound and Live animal optical imaging to the Australian research community.
Prof. David Reutens

Prof. David Reutens

David Reutens is the inaugural director of the Centre for Advanced Imaging (CAI) and Foundation Professor of Experimental Neurology at The University of Queensland. Prior to this he was the Professor of Neuroscience at Monash University and Director of Neurology at Southern Health. As a clinical neurologist Prof Reutens specializes in epilepsy and is a senior staff specialist at the Royal Brisbane and Women's Hospital. Professor Reutens' research involves the combination of imaging techniques to study functions such as memory in the healthy brain, the mechanisms behind diseases such as epilepsy and stroke and how the brain responds to overcome injury. Some of the research studies involve patients with injuries or genetic mutations that affect brain function – these studies are able to provide privileged insights into how the brain works. He directs the Australian Mouse Brain Mapping Consortium. With his collaborators, he uses imaging to study animal models of disease. Members of his group are working on ways of improving imaging technology.
Prof. Ian Brereton

Prof. Ian Brereton

Ian Brereton is the Director, Research and Technology, for the Centre for Advanced Imaging, the Director of the Queensland node for the National Imaging Facility and the Director of the Queensland NMR Network.
He has over 20 year experience in the application of Nuclear Magnetic Resonance to the biomedical and chemical and sciences. His current research interests are in preclinical molecular imaging, development of molecular imaging agents and biomarkers in animal models of neurodegeneration and cancer, localised MR spectroscopy, metabolomics and structural biology by MR spectroscopy, and magnetic resonance engineering.
Assoc. Prof. Rajiv Bhalla

Assoc. Prof. Rajiv Bhalla

Rajiv Bhalla was recruited to the Centre for Advanced Imaging (CAI) at the University of Queensland in 2013 to lead the PET and SPECT radiochemistry programs. Prior to joining the CAI, Rajiv was employed as a Radiochemistry Specialist at GE Healthcare and has >10 years in the development of PET & SPECT radiotracers. He is an experienced scientist with >20 patents and the focus of his research interests ranges from early stage research to translation of radiotracers into the clinic. In particular his research interests focus on developing more effective routes to tracer production by developing new labelling methodologies and designing simpler platforms for this chemistry.
Dr Karine Mardon

Dr Karine Mardon

Karine Mardon is the Facility Fellow for the preclinical PET/CT for the Queensland Node of the National Imaging Facility (NIF), at the Centre for Advanced Imaging, UQ. Dr Karine Mardon obtained her PhD in radiopharmacology from University Paris XII in 1994. In 1995, she pursued postdoctoral studies at ANSTO (Sydney) in the Radiopharmaceutical Division where she gained experience in the development and characterization of radiopharmaceuticals for SPECT and PET. She has extensive experience in in vitro and in vivo preclinical research particularly in the evaluation of drugs developed for the study of movement disorders as well as in the evaluation of radiolabelled peripheral benzodiazepine receptor ligands as markers of neurodegeneration and tumour occurrence. She has collaborated with many scientists leading the field in nuclear medicine in Australia and internationally.
Dr Andrew Janke

Dr Andrew Janke

Andrew Janke is the Facility Fellow for Informatics at the Queensland Node of the National Imaging Facility (NIF) based at the Centre for Advanced Imaging, The University of Queensland. He has worked in the area of MRI, CT and PET image acquisition and post-processing in large study cohorts for over 15 years in both Canada and Australia. He has a strong interest in open source imaging datasets and analysis code and to this end has published and released a number of free models of normative structure and is currently the lead maintainer of the MINC imaging analysis toolbox.
Mrs Gail Durbridge

Mrs Gail Durbridge

Gail Durbridge is a Senior Research Radiographer, and is the Program Coordinator for the Magnetic Resonance Technology suite of programs at the Centre for Advanced Imaging, UQ. She trained in MRI at The Wesley Hospital, and did her undergraduate radiography training at RMIT in Melbourne. Gail is accredited as both an MRI radiographer and an ultrasonographer. Her MR interests are in the areas of musculoskeletal and neuro imaging.
Damion Stimson

Mr Damion Stimson

Damion Stimson is a Research Radiochemist, at the Centre for Advanced Imaging (CAI), the University of Queensland. He has over 17 years of experience in radiopharmaceutical science, having worked with ANSTO's Australian Radioisotopes and National Medical Cyclotron, Royal Brisbane & Women's Hospital and more recently at Sydney's Royal Prince Alfred Hospital in the manufacture and development of Single Photon Emission Computerised Tomography (SPECT) and Positron Emission Tomography (PET) based radiopharmaceuticals for clinical application and for research. Damion is the Facility Manager of the radioisotope laboratories at CAI. His role includes operation of the cyclotron and radiopharmaceutical production and quality control to support research programmes requiring radiopharmaceuticals, and to conduct research in the development of novel radioligands.


6:05 AM
MarketsandMarkets

Bioinformatics Market report categorizes and analyzes the global bioinformatics market on the basis of sectors, product and services and applications.

MarketsandMarkets
The major players in the bioinformatics market are Accelrys, Inc. (U.S.), Affymetrix, Inc. (U.S.), Life Technologies Corporation (U.S.), Illumina, Inc. (U.S.), and CLC bio. (Denmark)
(PRWEB) June 03, 2013
The "Bioinformatics Market By Sector (Molecular Medicine, Agriculture, Research & Forensic), Segment (Sequencing Platforms, Knowledge Management Tools & Data Analysis Services) & Application (Genomics, Proteomics & Drug Design) – Global Forecasts to 2017" analyzes and studies the major market drivers, restraints, and opportunities in North America, Europe, Asia-Pacific and Rest of World.
Browse: 
  • 120 market Data Tables
  • 22 Figures
  • 364 Pages and In-Depth Table of Content on “Bioinformatics Market”
Early buyers will receive 10% customization on reports.
This report studies the global bioinformatics market over the forecast period 2012-2017.
The global Bioinformatics Market was valued at $2.9 billion in 2012 and is poised to reach $7.5 million by 2017 at a CAGR of 20.9%. Bioinformatics technologies are used in various pharmaceutical and biotechnology sectors to support their growth. Major sectors that use bioinformatics tools and services are medicine, agriculture, environment, animal, forensic, academics and others (homeland security & defense, law-enforcement groups, bio-weapon creation, and evolutionary biotechnology). The medical sector accounted for the lions share of the bioinformatics market, owing to the increasing use of bioinformatics in the drug discovery and development process.
Product and services in the Bioinformatics Market comprise of platforms, knowledge management tools, and services. The bioinformatics platforms market is the fastest-growing segment, as they play a crucial role in quick and easy analysis and manipulation of large amounts of data obtained from NGS projects.
Applications of bioinformatics in life sciences research include genomics, proteomics, chemoinformatics, molecular phylogenetics, metabolomics, transcriptomics, and others (glycomics, cytomics, physiomics and interactomics). Genomics commands the largest share of the bioinformatics application market.
The decreasing cost of DNA sequencing, increasing funding from government and private organizations, and technical advancements in Bioinformatics tools and platforms are propelling the market. Dearth of a common data format for integration of data, lack of well-defined standards, and shortage of skilled Bioinformatics professionals are major hurdles to growth of the market. It is expected that the market will offer growth opportunities for bioinformatics solutions manufacturers with the introduction and adoption of upcoming technologies such as nanopore sequencing and cloud computing.
North America accounted for the largest market share of the Bioinformatics Market, followed by Europe, in 2012. However, other regions such as Asian and Latin American countries represent emerging markets, owing to a rise in research outsourcing by pharmaceutical giants, increasing number of Contract Research Organizations (CROs), rise in public and private sector investment, and growing industry-academia partnerships.
About MarketsandMarkets
MarketsandMarkets (M&M) is a global market research and consulting company based in the U.S. We publish strategically analyzed market research reports and serve as a business intelligence partner to Fortune 500 companies across the world. MarketsandMarkets also provides multi-client reports, company profiles, databases, and custom research services.
M&M covers thirteen industry verticals; including advanced materials, automotives and transportation, banking and financial services, biotechnology, chemicals, consumer goods, energy and power, food and beverages, industrial automation, medical devices, pharmaceuticals, semiconductor and electronics, and telecommunications and IT.
We at MarketsandMarkets are inspired to help our clients grow by providing apt business insight with our huge market intelligence repository.
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6:03 AM
H5N1 virus with genes from H1N1 can spread through the air between mammals.
Expand
Researchers have crossed two strains of avian flu virus to create one that can be transmitted through the air — and possibly settle on the cilia of lung cells as in this conceptual image.
KARSTEN SCHNEIDER/SCIENCE PHOTO LIBRARY
As the world is transfixed by a new H7N9 bird flu virus spreading through China, a study reminds us that a different avian influenza — H5N1 — still poses a pandemic threat.
A team of scientists in China has created hybrid viruses by mixing genes from H5N1 and the H1N1 strain behind the 2009 swine flu pandemic, and showed that some of the hybrids can spread through the air between guinea pigs. The results are published in Science1.
Flu hybrids can arise naturally when two viral strains infect the same cell and exchange genes. This process, known as reassortment, produced the strains responsible for at least three past flu pandemics, including the one in 2009.
There is no evidence that H5N1 and H1N1 have reassorted naturally yet, but they have many opportunities to do so. The viruses overlap both in their geographical range and in the species they infect, and although H5N1 tends mostly to swap genes in its own lineage, the pandemic H1N1 strain seems to be particularly prone to reassortment.


“If these mammalian-transmissible H5N1 viruses are generated in nature, a pandemic will be highly likely,” says Hualan Chen, a virologist at the Harbin Veterinary Research Institute of the Chinese Academy of Sciences, who led the study.
“It's remarkable work and clearly shows how the continued circulation of H5N1 strains in Asia and Egypt continues to pose a very real threat for human and animal health,” says Jeremy Farrar, director of the Oxford University Clinical Research Unit in Ho Chi Minh City, Vietnam.

Flu fears

Chen's results are likely to reignite the controversy that plagued the flu community last year, when two groups found that H5N1 could go airborne if it carried certain mutations in a gene that produced a protein called haemagglutinin (HA)2, 3. Following heated debate over biosecurity issues raised by the work, the flu community instigated a voluntary year-long moratorium on research that would produce further transmissible strains. Chen’s experiments were all finished before the hiatus came into effect, but more work of this nature can be expected now that the moratorium has been lifted.
“I do believe such research is critical to our understanding of influenza,” says Farrar. “But such work, anywhere in the world, needs to be tightly regulated and conducted in the most secure facilities, which are registered and certified to a common international standard.”
Virologists have created H5N1 reassortants before. One study found that H5N1 did not produce transmissible hybrids when it reassorts with a flu strain called H3N24. But in 2011, Stacey Schultz-Cherry, a virologist at St. Jude Children's Research Hospital in Memphis, Tennessee, showed that pandemic H1N1 becomes more virulent if it carries the HA gene from H5N15.
Chen’s team mixed and matched seven gene segments from H5N1 and H1N1 in every possible combination, to create 127 reassortant viruses, all with H5N1’s HA gene. Some of these hybrids could spread through the air between guinea pigs in adjacent cages, as long as they carried either or both of two genes from H1N1 called PA and NS. Two further genes from H1N1, NA and M, promoted airborne transmission to a lesser extent, and another, the NP gene, did so in combination with PA.
“It’s a very extensive paper,” says Schultz-Cherry. “It really shows that it’s more than just the HA. The other proteins are just as important and can drive transmission.” Chen says that health organisations should monitor wild viruses for the gene combinations that her team identified in the latest study. “If those kinds of reassortants are found, we’d need to pay high attention.”

Knowledge gap

It is unclear how the results apply to humans. Guinea pigs have bird-like receptor proteins in their upper airways in addition to mammalian ones, so reassortant viruses might bind in them more easily than they would in humans.
And scientists do not know whether the hybrid viruses are as deadly as the parent H5N1. The hybrids did not kill any of the guinea pigs they spread to, but Chen says that these rodents are not good models for pathogenicity in humans.
There is also a chance that worldwide exposure that already occurred to the pandemic H1N1 strain might actually mitigate the risk of a future pandemic by providing people with some immunity against reassortants with H5N1. In an earlier study, Chen and her colleagues showed that a vaccine made from pandemic H1N1 provided some protection against H5N1 infections in mice6.
“If you take [antibodies] from people who have been vaccinated or naturally infected, will they cross-react with these viruses?” asks Schultz-Cherry. “That’s an important study that would need to be done.”
Ironically, Chen’s team is now too busy reacting to the emerging threat of a different bird flu — H7N9. Research on H5N1 will have to wait.
Nature
 
doi:10.1038/nature.2013.12925

6:02 AM

Software

AMOS Assembler project

The is a set of tools, libraries, and freestanding genome assemblers, all open source. AMOS is also an open consortium that includes TIGR, the University of Maryland, The Karolinska Institutet, and the Marine Biological Laboratory.

AMOScmp

is a comparative genome assembler, which uses one genome as a reference on which to assemble another, closely related species. See the journal paper here.

ARDB

(New in early 2009) Antibiotic Resistance Genes Database

AutoEditor

A tool for correcting sequencing and basecaller errors using sequence assembly and chromatogram data. On average AutoEditor corrects 80% of erroneous base calls, with an accuracy of 99.99%.

BAMBUS

The first publicly available, standalone genome sequence scaffolding program. It orders and orients contigs into scaffolds based on various types of linking information.

Bambus2

Bambus 2.0, the second generation Bambus scaffolder available as an open source package. While most other scaffolders are closely tied to a specific assembly program, Bambus accepts the output from most current assemblers and provides the user with great flexibility in choosing the scaffolding parameters. In particular, Bambus is able to accept contig linking data other than specified by mate-pairs. Such sources of information include alignment to a reference genome (Bambus can directly use the output of MUMmer), physical mapping data, or information about gene synteny.

Bowtie

An ultrafast, memory-efficient short read aligner that aligns short DNA sequences to the human genome at a rate of about 25 million reads per hour on a typical workstation with 2 GB of memory. Bowtie indexes the genome with a Burrows-Wheeler index to keep its memory footprint small: 1.1 GB for the human genome.
Steven Salzberg has been nominated for the 2013 Benjamin Franklin Award in the Life Sciences. This is a humanitarian/bioethics award presented to an individual who has, in his or her practice, promoted free and open access to the materials and methods used in the life sciences. More information on the award can be found at http://www.bioinformatics.org/franklin/.

BRCA gene testing

a computational screening test that takes the raw DNA sequence data from a whole-genome sequence of an individual human and tests for each of 68 known mutations in the BRCA1 and BRCA2 genes.

Celera Assembler

A whole genome assembler originally developed at Celera Genomics for the assembly of the human genome. CeleraAssembler is now an open-source project at SourceForge. The code is actively maintained by researchers at CBCB and the Venter Institute (formerly known as TIGR, The Institute for Genomic Research).

CloudBurst

(New in Nov 2008) Highly Sensitive Short Read mapping with MapReduce. CloudBurst uses Hadoop - an open source version of Google's parallel computing software MapReduce - to efficiently parallelize the short read mapping problem to dozens or hundreds of computers. This enables CloudBurst to execute highly sensitive read mappings with any number of mutations or indels.

Crossbow

(New in Nov 2009) Crossbow is a scalable software pipeline for whole genome resequencing analysis. It combines Bowtie, an ultrafast and memory efficient short read aligner, and SoapSNP, an accurate genotyper, within Hadoop to distribute and accelerate the computation with many nodes. The pipeline can accurately analyze over 35x coverage of a human genome in one day on a 10-node local cluster, or in 3 hours for about $100 using a 40-node, 320-core cluster rented from Amazon's EC2 utility computing service.

Cufflinks

(New in September 2009) A transcript assembler and abundance estimator for RNA-Seq

DNACLUST

(New in July 2010) DNACLUST is a tool for clustering millions of short DNA sequences. DNACLUST is free software.

ELPH

A motif finder based on Gibbs sampling that can find ribosome binding sites, exon splicing enhancers, or regulatory sites.

ExAlt

a Phylogenetic Generalized Hidden Markov Model for finding alternatively spliced exons.

Figaro

A vector trimmer capable of accurately trimming vector from shotgun reads without prior knowledge of the vector sequence. Figaro statistically models short oligo-nucleotide frequencies in order to infer which oligos are associated vector sequence.

FLASH

A fast accurate software to increase the length of reads by overlapping and merging mate pairs from fragments shorter than twice the length of reads.

GeneMerge

a program for analysis of microarray data including rank scores for over-representation of particular functions and categories

GeneSplicer

a fast system for detecting splice sites in genomic DNA of various eukaryotes.

GeneZilla

a generalized HMM for eukaryotic gene finding, with a design similar to Genscan. Written and maintained by Bill Majoros, now at Duke University.

GiRaF

GiRaF is a computational tool for identification of reassortments in influenza viruses from sequence databases of isolates.

Glimmer

a system that uses interpolated Markov models to find genes in microbial DNA. Used to annotate hundreds (possibly thousands) of bacterial, archaeal, and viral genomes. Current version is 3.02.

GlimmerHMM

a Generalized Hidden Markov Model gene-finder which makes use of the techniques implemented previously by GlimmerM.

Hawkeye

A visual analytics tool for genome assembly analysis and validation, designed to aid in identifying and correcting assembly errors. All levels of the assembly data hierarchy are made accessible to users, along with summary statistics and common assembly metrics. A ranking component guides investigation towards likely mis-assemblies or interesting features to support the task at hand. Can be used to interactively analyze assemblies from many popular assemblers on your desktop computer. See the journal paper here.

Insignia

A comprehensive system for finding unique DNA sequences that can be used to identify any bacterial or virus species or strain. Currently has over 13,000 species and strains in its database..

JELLYFISH

A fast, multithreaded k-mer counter.

JIGSAW

(previously called Combiner),a program that predicts gene models using the output from other annotation software. It uses a statistical algorithm to identify patterns of evidence corresponding to gene models.

metagenomeSeq

R package to estimate differential abundance of marker gene survey data and visualize results.

metAMOS

Metagenomic datasets prove challenging to assemble using traditional assembly pipelines designed for individual genomes. Using AMOS as a foundation, we have created a robust & easy-to-use metagenomic assembly pipeline that takes reads (FASTA,FASTQ,SFF) and assembles them into Unitigs (CABOG,NEWBLER,Minimus,SOAPdenovo), Contigs & Scaffolds (Bambus2) & ORFs (Glimmer MG, MetaGeneMark), and annotates results using Metaphyler and a graph-based propagation method. MetAMOS was designed with efficiency in mind and can run through tens of millions of reads in a few hours on a multi-core workstation with ample RAM.

MetaPath

(New in 2010) MetaPath can identify differentially abundant pathways in metagenomic data-sets, relying on a combination of metagenomic sequence data and prior metabolic pathway knowledge.

MetaPhyler

(New in 2010) Taxonomic Profiling for Metagenomic Sequences.

MINIMUS

A small, lightweight assembler for small jobs such as assembling a viral genome, assembling a set of reads that match a single gene, or other tasks that don't require the complex infrastructure of a large-genome assembler.

MUMmer

a system for aligning whole genomes, chromosomes, and other very long DNA sequences. New (May 2008): see how to use MUMmer to align Solexa reads to the human genome.

MUMmerGPU

High throughput sequence alignmentusing Graphics Processing Units (GPUs). Uses a technique called general-purpose GPU programming (GPGPU programming) to harness the extreme parallelism of GPUs for non-graphics tasks. In this application, hundreds of query sequences are simultaneously aligned to a reference sequence, creating an order of magnitude speed up over the same alignmenton the CPU.

OperonDB

Software and a database of operons covering a large number of prokaryotic genomes. Described in M. Pertea et al., Nucl. Acids Res 37 (2009), D479-D482.

PanArray

PanArray is an oligonucleotide probe selection algorithm for tiling multiple genome sequences using a minimal number of probes. It is capable of fully tiling all genomes of a species on a single microarray chip. These unique pan-genome tiling arrays provide maximum flexibility for the analysis of both known and uncharacterized strains.

PBcR

A correction pipeline to enable the use of the long-read sequences (such as those produced by the PacBio RS instrument) for assembly or other analysis.

PhymmBL

A one-stop system for taxonomically classifying metagenomic short reads.

PIRATE

a website collecting many links to our gene finders and others.

Quake

A software package to detect and correct substitution sequencing errors in WGS data sets with deep coverage.

RepeatFinder

an older system for finding and characterizing repetitive sequences in complete and partial genomes.

Scimm

A tool for unsupervised clustering of metagenomic sequences using interpolated Markov models.

SEE ESE

an online tool for identifying exon splicing enhancers (ESEs) in Arabidopsis and Drosophila.

SIM4CC

An efficient program to align cDNA sequences (or ESTs)to genomic sequences, specifically designed for cross-species alignment.

SOMA

Scaffolding using Optical Restriction Mapping

Spanki

(New in 2012) Spanki is a toolkit for analysis of alternative splicing from RNA-SEQ data.

TopHat

(New in February 2009) A short read aligner for RNA-Seq experiments. TopHat discovers novel exon-exon splice junctions and can align millions of RNA-Seq reads to a mammalian genome per hour.

TransTermHP

A highly accurate program that finds rho-independent transcription terminators in bacterial genomes. The site includes a database with pre-computed predictions for hundreds of species.

TWAIN

a Generalized Pair HMM to predict genes simultaneously in two closely related eukaryotic organisms.

6:00 AM
Dear Colleague,

We welcome you to join us at GTC’s NGS & Bioinformatics Summit Europe on October 7-8, 2013 in Berlin, Germany. This summit gathers the foremost experts to present on leading-edge technology in next-generation sequencing and bioinformatics.This summit includes two parallel conferences including joint sessions, featuring discussions on opportunities and challenges in NGS dedicated to NGS-related topics, bioinformatics, and data management. You can register for either one or both conferences in the summit, depending on your research interests and industry objectives!

Join your peers in this one-of-a-kind opportunity to learn from academicians and industry specialists presenting on the top NGS platforms, novel applications, clinical investigations, health economics, transcriptomics, infectious disease investigations, emerging technologies, ancient and forensic DNA studies, whole genome sequencing, single-cell analysis, and more! In addition, the world’s leading bioinformaticians will drill-down on developments in NGS big data, cloud systems, clinical and cancer genomics data, database integration, the Galaxy Project and pipelines, BaseSpace, and much more!

Conference A: Next-Generation Sequencing: Opportunities & Challenges
I. Joint Session: Applications of NGS PlatformsII. Joint Session: NGS in Cancer
III. Transcriptomics & RNA SequencingIV. Pharmacogenomics & Clinical Applications 
V. Joint Session: Health Technology Assessment
VI. NGS in Ancient & Forensic DNA
I. Joint Session: Applications of NGS Platforms
II. Joint Session: NGS in Cancer
III. Big Data & Cloud-Enabled Solutions
IV. Data Interpretation
V. Joint Session: Health Technology Assessment
VI. Data Integration
Sign up for the Summit Pass to have access to both conferences!

This NGS & Bioinformatics Summit Europe will also be co-located with the Biomarkers Summit on October 9-10, 2013.

Call for Papers (Poster Presentation)!
To be considered for an oral presentation, please submit an abstract here by September 7, 2013. Selected presentations will be based on quality of abstract and availability. Presentation slots fill up fast so please submit your abstract ASAP.

Sponsorship and exhibiting opportunities are available in a range of levels, which can be tailored to fit your marketing campaign needs. Please contact 626-256-6405 x102 or spex@gtcbio.com for more information!






Best regards,

The 2013 Advisory Committee

Attend all GTC Conferences for one year for only $3,995 ($1,990 for academic and government).
Click here to sign up!
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