compbio.mit.edu

Compbio.mit.edu - MIT Computational Biology Group - Kellis Lab at MIT and Broad Institute

We work in a highly interdisciplinary environment at the interface of computer science and biology. Members of the group come from a primarily computational background and share a strong passion for understanding biological systems. We are engaged in several collaborative research partnerships with biological and experimental collaborators, at the Broad Institute, the ENCODE, modENCODE, GTEx, and Epigenomics Roadmap consortia, the Harvard Medical School, and other universities. Read more on: Chromatin.

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Compbio.mit.edu - MIT Computational Biology Group - Kellis Lab at MIT and Broad Institute | compbio.mit.edu Reviews

<META> DESCRIPTION

We work in a highly interdisciplinary environment at the interface of computer science and biology. Members of the group come from a primarily computational background and share a strong passion for understanding biological systems. We are engaged in several collaborative research partnerships with biological and experimental collaborators, at the Broad Institute, the ENCODE, modENCODE, GTEx, and Epigenomics Roadmap consortia, the Harvard Medical School, and other universities. Read more on: Chromatin.

<META> KEYWORDS

1 variation and disease

2 genome interpretation

3 protein coding genes

4 non coding rnas

5 gene regulation

6 regulatory motifs

7 biological networks

8 epigenomics

9 more on epigenomics

10 regulatory rnas

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variation and disease,genome interpretation,protein coding genes,non coding rnas,gene regulation,regulatory motifs,biological networks,epigenomics,more on epigenomics,regulatory rnas,genome evolution,more on evolution,phylogenomics,positions available

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Compbio.mit.edu - MIT Computational Biology Group - Kellis Lab at MIT and Broad Institute | compbio.mit.edu Reviews

https://compbio.mit.edu

We work in a highly interdisciplinary environment at the interface of computer science and biology. Members of the group come from a primarily computational background and share a strong passion for understanding biological systems. We are engaged in several collaborative research partnerships with biological and experimental collaborators, at the Broad Institute, the ENCODE, modENCODE, GTEx, and Epigenomics Roadmap consortia, the Harvard Medical School, and other universities. Read more on: Chromatin.

INTERNAL PAGES

compbio.mit.edu

1

Compbio.mit.edu - Funding

http://compbio.mit.edu/funding.html

MIT Computational Biology Group - Funding. We have received generous support from the NIH (National Human Genome Research Institute and National Cancer Institute), the NSF ( DBI. Program), the Sloan Foundation, MIT, the Broad Institute, the Human Frontiers Science Program, EMBO, the Shering Foundation, the Paris Kanellakis fellowship, and Portugal. Interpreting non-coding variants using epigenomics, regulatory models, and validation experiments. August 1, 2015 - July 31, 2018. PI: Kellis, Eggan). Regulat...

2

Compbio.mit.edu - Teaching

http://compbio.mit.edu/teaching.html

Manolis Kellis - Courses Taught. I teach the following courses on Computational Biology and Algorithms at MIT. Computational Personal Genomics: Making sense of complete genomes. Computational Biology: Genomes, Networks, Evolution. F05, F06), James Galagan. F07, F08, F09), sole in charge (F10, F11). Biological sequence analysis, hidden Markov models, gene finding, RNA folding, sequence alignment, genome assembly. As 6047/6.878/HST.507/HSPH-IMI231/BU-BE562): Lecture Notes. As 6047/6.878): Lecture Notes.

3

Compbio.mit.edu - MIT Computational Biology Group - Kellis Lab at MIT and Broad Institute

http://compbio.mit.edu/compbio.html

We work in a highly interdisciplinary environment at the interface of computer science and biology. Members of the group come from a primarily computational background and share a strong passion for understanding biological systems. We are engaged in several collaborative research partnerships with biological and experimental collaborators, at the Broad Institute, the ENCODE, modENCODE, GTEx, and Epigenomics Roadmap consortia, the Harvard Medical School, and other universities. Read more on: Chromatin.

4

Network Deconvolution

http://compbio.mit.edu/nd

A General Method to Distinguish Direct Dependencies over Networks. By: Soheil Feizi, Daniel Marbach, Muriel Medard and Manolis Kellis. Page generated 2014-02-14 12:00:59 EST, by jemdoc.

5

CummeRbund - An R package for persistent storage, analysis, and visualization of RNA-Seq from cufflinks output

http://compbio.mit.edu/cummeRbund

Exploration, analysis and visualization of Cufflinks high-throughput RNA-Seq data. Is an R package that is designed to aid and simplify the task of analyzing Cufflinks RNA-Seq output. CummeRbund is a collaborative effort between the Computational Biology group. Led by Manolis Kellis at MIT's Computer Science and Artificial Intelligence Laboratory. And the Rinn Lab. At the Harvard University department of Stem Cells and Regenerative Medicine. Development Version (tied to BioC devel cycle). A long overdue ...

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cafesciences.org

octobre | 2013 | Café des Sciences de Boston

https://cafesciences.org/2013/10

Café des Sciences de Boston. A la rencontre de la communauté scientifique francophone du Massachusetts. Aller au contenu principal. Un café Des Sciences. Archives mensuelles : octobre 2013. Café des Sciences #58: Déchiffrer les connexions à l’origine des maladies humaines à l’aide de la génomique. Octobre 24, 2013. Professeur Associé en Biologie Computationelle – MIT / CSAIL / Broad Institute. Lundi 4 novembre 2013 – de 18:00 à 20:30PM. 194 Brattle Street Mid-Cambridge, MA 02138 ( MAP. La génomique compa...

mlin.net

Mike Lin's Home Page

http://www.mlin.net/CrossHair.shtml

Michael F Lin, PhD. I'm a software engineer and genome scientist in Silicon Valley. I joined DNAnexus. In 2012, following a decade at MIT. And the Kellis lab. You can read my blog. On twitter, look me up. On LinkedIn, peruse my scientific publications. On Google Scholar, or fork my repos. I established mlin.net in 1999 to publish several freeware Windows utilities I'd created, which had millions of users over the following decade. You can still view the classic mlin.net.

mlin.net

Mike Lin's Home Page

http://www.mlin.net/StartupCPL.shtml

Michael F Lin, PhD. I'm a software engineer and genome scientist in Silicon Valley. I joined DNAnexus. In 2012, following a decade at MIT. And the Kellis lab. You can read my blog. On twitter, look me up. On LinkedIn, peruse my scientific publications. On Google Scholar, or fork my repos. I established mlin.net in 1999 to publish several freeware Windows utilities I'd created, which had millions of users over the following decade. You can still view the classic mlin.net.

armanbilge.com

About

http://www.armanbilge.com/about

I am a third-year undergraduate at The University of Auckland. New Zealand, where I am studying a mix of computer science, math, statistics, and biology. I grew up in the Greater Boston area and am an avid photographer of New England’s flora and fauna. During high school I discovered the interdisciplinary field of computational biology and had the opportunity to work on projects in this area with groups at Harvard. After I was awarded a scholarship by the Siemens Foundation. This is a Jekyll.

csbi.mit.edu

Faculty | People | CSBi | Computational and Systems Biology at MIT

http://csbi.mit.edu/people/kellis.html

Links for Additional Information. Manolis Kellis, Ph.D. Department of Electrical Engineering and Computer Science. Assistant professor of Computer Science. Associate Member, Broad Institute for MIT and Harvard. Principal Investigator, Computer Science and Artificial Intelligence Laboratory. Assistant Professor, MIT Department of Electrical Engineering and Computer Science. Principal Investigator, Computer Science and Artificial Intelligence Laboratory. Associate Member, Broad Institute of MIT and Harvard.

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compbio.lehigh.edu

Wonpil Im Research Group

Research in our group is focused on the applications of theoretical/computational methods to chemical and physical problems in biology and material science. Specific research interests are: (see the details. Protein/peptide interactions with/in biological membranes. Transmembrane-induced signaling and regulation. NMR structure calculation and refinement. Modeling and simulation of glycoconjugates ( GlycanStructure.ORG. Bacterial outer membranes and interactions with proteins. As well as ST-analyzer.

compbio.massey.ac.nz

CompBio @ Massey University

These are webpages dedicated to computational biology and related deciplines at the Institute of Natural and Mathematical Sciences (INMS). In Albany, Auckland. The webpages are used to host information and news regarding people, courses, workshops, and conferences as well as research related tools and databases. Building 14, INMS. Station Crescent, Gate 4. Auckland, New Zealand. 64 9 414 0800 (ext: 43538). Gate 4, Building 11, INMS. Auckland 0630, New Zealand.

$compbio.math.pmf.unizg.hr$ compbio.math.pmf.unizg.hr

compbio

At Department of Mathematics, University of Zagreb.

compbio.med.harvard.edu

Computational Genomics (PI: Peter J Park)

We are a bioinformatics research group and are part of the Center for Biomedical Informatics. At Harvard Medical School. Children's Hospital Informatics Program. Harvard-MIT Division of Health, Science, and Technology. And Division of Genetics at Brigham and Women's Hospital. More information on the principal investigator is here. Sep 1, 2014: Not a bad week for the Park lab: we had papers in. All in the same week! Oct 31, 2013: This time, congratulations to Francesco, Andrew! Davis et al. (pp. 3...Recen...

compbio.med.wayne.edu

Krawetz Lab

Charlotte B. Failing Professor of Fetal Therapy and Diagnosis. Associate Director C.S. Mott Center for Human Growth and Development,. Wayne State University School of Medicine. Department of Obstetrics and Gynecology. Center for Molecular Medicine and Genetics. Postdoctoral Positions Available - click here. C, Goodrich, R., Swanson, S., Hauser, R., Diamond, M. Click for Full Text. Johnson, G.D., Mackie. SA (2015 Jun 13. pii. Gkv591. [ Epub. Click for Full Text. Analysis methods to examine gene expression...

compbio.mit.edu

Compbio.mit.edu - MIT Computational Biology Group - Kellis Lab at MIT and Broad Institute

We work in a highly interdisciplinary environment at the interface of computer science and biology. Members of the group come from a primarily computational background and share a strong passion for understanding biological systems. We are engaged in several collaborative research partnerships with biological and experimental collaborators, at the Broad Institute, the ENCODE, modENCODE, GTEx, and Epigenomics Roadmap consortia, the Harvard Medical School, and other universities. Read more on: Chromatin.

compbio.ornl.gov

Computational Biology at Oak Ridge National Laboratory

Welcome to Our Web Site. We are the Comparative Genomics and the Computational Biology and Bioinformatics Groups of the Biosciences Division of Oak Ridge National Laboratory. We conduct genetics research and system development in genomic sequencing, computational genome analysis, and computational protein structure analysis. Our collaborators include ORNL's Computer Science and Mathematics Division, the Joint Institute for Biological Sciences, and ORNL's Genome Science and Technology Graduate Program.

compbio.ox.ac.uk

CBRG, Oxford University

You are here: CBRG home. Search CBRG web site. Welcome to the CBRG. The Computational Biology Research Group (CBRG) provides computing support. For bioinformatics analysis at the University of Oxford. We have expertise in many aspects of bioinformatics (sequence analysis, microarrays, proteomics and integration). We especially encourage collaborations that require writing custom software, bioinformatics tools and databases. An account with the CBRG has many benefits. Bioinformatics analysis tools online:.

compbio.snu.ac.kr

Lab of Computational Biology and Biomolecular Engineering

Lab of Computational Biology and Biomolecular Engineering. 502-203 Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.

compbio.soihub.org

Computational Systems Biology

Please login to view:. If you would like to login and you do not already have an account please contact csb@soihub.org. Acknowledgements: This work was supported by NSF Grant DBI 0835677 and by the Center for Science of Information.

compbio.sookmyung.ac.kr

NetCSSP.

Neural networks for calculating Contact-dependent Secondary Structure Propensity. Applications in predicting non-native secondary structures and amyloid fibril formation. 1 Select a method for CSSP calculation. Single network provides helical and beta propensity in a single profile while dual mode calculates the helical and. Beta propensities in two separate neural networks. Three ways to submit a query sequence. 2-1 Paste your protein sequence. PDB ID (4 letters) :. Type sequence (Single letter) :.