BOL: Related items

CrossMap

Jitendra Narayan — Mon, 08 Feb 2016 15:47:00 -0600

CrossMap is a program for convenient conversion of genome coordinates (or annotation files) between different assemblies (such as Human hg18 (NCBI36) <> hg19 (GRCh37), Mouse mm9 (MGSCv37) <> mm10 (GRCm38)).

It supports most commonly used file formats including SAM/BAM, Wiggle/BigWig, BED, GFF/GTF, VCF.

CrossMap is designed to liftover genome coordinates between assemblies. It’s not a program for aligning sequences to reference genome.

We do not recommend using CrossMap to convert genome coordinates between species.

More at http://crossmap.sourceforge.net/

Address of the bookmark: http://crossmap.sourceforge.net/

SATSUMA : Highly sensitive whole-genome synteny alignments.

Jit — Fri, 13 May 2016 05:25:26 -0500

Satsuma is a whole-genome synteny alignment program. It takes two genomes, computes alignments, and then keeps only the parts that are orthologous, i.e. following the conserved order and orientation of features, such as protein coding genes, non-coding genes, or neutral sequences. Satsuma does not require any pre-processing, such as repeat masking, since it will automatically detect ambiguous mappings.

Satsuma has parallelization built-in and is designed to run on multi-core architectures. The run-time for aligning two bird-size genomes (~1.2 Gb) is around two days on 24 CPUs.

You can find the manual here.
Download the latest source code from here.
Stable versions can also be downloaded from the Broad Institute's web site.

An incomplete list of questions and answers (yes, these have really been asked by our users! Please feel free to add your own by e-mailing us) is here.

If you use Satsuma in your research, please cite:
Grabherr, M. G., Russell, P., Meyer, M., Mauceli, E., Alföldi, J., Di Palma, F., & Lindblad-Toh, K. (2010). Genome-wide synteny through highly sensitive sequence alignment: Satsuma. Bioinformatics, 26(9), 1145-51.

Tutorial at http://evomics.org/learning/genomics/satsuma/

Address of the bookmark: http://satsuma.sourceforge.net/

The Kingsley Lab

Fri, 03 Jun 2016 09:55:10 -0500

The Molecular Basis of Vertebrate Evolution. Naturally occurring species show spectacular differences in morphology, physiology, behavior, disease susceptibility, and life span. Although the genomes of many organisms have now been completely sequenced, Kingsley lab still know relatively little about the specific DNA sequence changes that underlie interesting species-specific traits. Kingsley lab laboratory is using a combination of genetic and genomic approaches to identify the detailed molecular mechanisms that control evolutionary change in vertebrates.

Method in Comparative genomics !!

Jit — Wed, 09 Nov 2016 16:29:24 -0600

We present methods for the automatic determination of genome correspondence. The algorithms enabled the automatic identification of orthologs for more than 90% of genes and intergenic regions across the four species despite the large number of duplicated genes in the yeast genome. The remaining ambiguities in the gene correspondence revealed recent gene family expansions in regions of rapid genomic change.

We present methods for the identification of protein-coding genes based on their patterns of nucleotide conservation across related species. We observed the pressure to conserve the reading frame of functional proteins and developed a test for gene identification with high sensitivity and specificity. We used this test to revisit the genome of S. cerevisiae, reducing the overall gene count by 500 genes (10% of previously annotated genes) and refining the gene structure of hundreds of genes. We present novel methods for the systematic de novo identification of regulatory motifs. The methods do not rely on previous knowledge of gene function and in that way differ from the current literature on computational motif discovery. Based on the genome-wide conservation patterns of known motifs, we developed three conservation criteria that we used to discover novel motifs. We used an enumeration approach to select strongly conserved motif cores, which we extended and collapsed into a small number of candidate regulatory motifs. These include most previously known regulatory motifs as well as several noteworthy novel motifs. The majority of discovered motifs are enriched in functionally related genes, allowing us to infer a candidate function for novel motifs.

Our results demonstrate the power of comparative genomics to further our understanding of any species. Our methods are validated by the extensive experimental knowledge in yeast, and will be invaluable in the study of complex genomes like that of human.

Address of the bookmark: http://web.mit.edu/manoli/www/publications/Kellis_JCB_04.pdf

ISCB-Asia 2013 Translational Bioinformatics Conference

Thu, 08 Aug 2013 06:31:32 -0500

ISCB-Asia 2013
Translational Bioinformatics Conference
Seoul, Korea
October 2 - 4, 2013

For more information visit: http://www.snubi.org/TBC2013/

List of pharmacogenomics companies worldwide

Jitendra Narayan — Fri, 09 Aug 2013 13:24:47 -0500

Pharmacogenomics are the most promising area of research. Here is the list of some Pharmacogenomics companies worldwide. Feel free to add more pharmacogenomics companies if not mentioned in here.

Great Pharmacogenomics companies
www.aruplab.com
www.clarientinc.com
www.cns-hts.com
www.dnanow.com
www.dnavision.be
www.dnavision.com
www.dxsdiagnostics.com
www.entrogen.com
www.exiqon.com
www.gene.com
www.genomichealth.com
www.genoptix.com
www.genpathdiagnostics.com
www.gentris.com
www.immunicon.com
www.ingenuity.com
www.lab21.com
www.labcorp.com
www.lion-ag.de
www.lynxgen.com
www.mayoclinic.com
www.mesoscale.com
www.microcide.com
www.mitokor.com
www.monarchlifesciences.com
www.mplnet.com
www.orchidbio.com
www.pebio.com
www.phenomenome.com
www.phenopath.com
www.ppgx.com
www.prometheuslabs.com
www.protogene.com
www.questdiagnostics.com
www.rigelinc.com
www.rii.com
www.saladax.com
www.tmdlab.com
www.transgenomic.com
www.twt.com
www.uslabs.net
www.variagenics.com

Great Equipment Companies for Genomics
www.affymetrix.com
www.illumina.com
www.iontorrent.com
www.sequenom.com
www.appliedbiosystems.com
www.454.com
www.appliedbiosystems.com

Genomics in India
www.ganitlabs.in
www.sandor.co.in
www.igib.res.in
www.genotypic.co.in
www.ocimumbio.com
www.abcgenomics.com
www.xcelrisgenomics.com
www.ayugen.com
www.geneombiotech.com

Large Global Whole Genome Companies
www.decode.com
www.23andme.com
www.navigenics.com
www.pathway.com

Global companies offering genomics services
www.asuragen.com
www.baseclear.com
www.agtcenter.com
www.ambrygen.com
www.arosab.com
www.agrf.org.au
www.beckmangenomics.com
www.genomics.cn
www.bsf.a-star.edu.sg
www.cbm.fvg.it
www.cincinnatichildrens.org
www.cofactorgenomics.com
www.covance.com
www.dnalandmarks.ca
www.dnavision.com
www.expressionanalysis.com
www.fasteris.com
www.gatc-biotech.com
www.genesdiffusion.com
www.geneseek.com
www.geneticvisions.com
www.geneworks.com.au
www.genizon.com
www.genoskan.dk/uk
www.gpbio.jp
www.igatechnology.com
www.igenixinc.com
www.auxologico.it
www.lifeandbrain.com
www.macrogen.co.kr/eng
www.gqinnovationcenter.com
www.mftservices.de
www.ncgr.org
www.ramaciotti.unsw.edu.au
www.rikengenesis.jp
www.SABiosciences.com
www.sequensysbio.com
www.servicexs.com
www.snp-genetics.com
www.takara-bio.com
www.gen-probe.com
www.traitgenetics.com

InterpretOmics

Jitendra Narayan — Sun, 11 Aug 2013 10:24:33 -0500

InterpretOmics, a big data analytics startup that focuses on life sciences, has received angel funding of around Rs 10 crore from a group of investors including Singapore's information technology and shipping company, Amarante.

http://www.interpretomics.co/

Cancer's origins revealed

Jitendra Narayan — Thu, 15 Aug 2013 13:06:56 -0500

Researchers have provided the first comprehensive compendium of mutational processes that drive tumour development. Together, these mutational processes explain most mutations found in 30 of the most common cancer types. This new understanding of cancer development could help to treat and prevent a wide-range of cancers.

More at >> http://www.sanger.ac.uk/about/press/2013/130814.html

Computer Theory & Genetics: George Chao at TEDxUMNSalon

Thu, 15 Aug 2013 22:08:10 -0500

George Chao is an undergraduate senior studying Genetics and Computer Science at the University of Minnesota. Having started genetics research as soon as he entered the university, he has worked in labs spanning multiple disciplines as well as in Japan. Some of these researches include developmental genetics in Drosophila, computational techniques for analyzing protein interactions, and helping with the development of algorithms to analyze motion capture data of patients with neck pain. During this time, George steadily developed a fascination with the field of bioinformatics, the study of using computational techniques to learn from genetic data. He would like to go into a career of research into the application of bioinformatics in various fields. ---- The individuals involved with TEDxUMN have a passion for bringing together the great thinkers at the University of Minnesota and giving them the opportunity to share their ideas worth spreading and to discuss our shared future. We provide these great people the opportunity to share these ideas on a global stage and with an incredibly diverse audience. We believe in the power of ideas to change attitudes, lives and ultimately the world. Check out TEDxUMN at http://www.TEDxUMN.com/ In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)

The Clark Lab

Fri, 07 Feb 2020 13:57:24 -0600

Study the process of Adaptive Evolution, during which species adopt novel traits to overcome challenges. We retrace the evolutionary histories of genomic elements to determine the changes underlying adaptation and to discover previously unknown genetic networks. These discoveries have already led to advances in human health, species conservation, and molecular biology.

More at http://clark.genetics.utah.edu/