More at http://www.bioinf.uni-leipzig.de/Software/segemehl/

Manual http://www.bioinf.uni-leipzig.de/Software/segemehl/segemehl_manual_0_1_7.pdf

Address of the bookmark: http://hoffmann.bioinf.uni-leipzig.de/LIFE/segemehl.html

If you are using Windows you can easily upgrade to the latest version of R using the installr package. Simply run the following code in Rgui:

install.packages("installr") # install 
setInternet2(TRUE)
installr::updateR() # updating R.

Running “updateR()” will detect if there is a new R version available, and if so it will download+install it (etc.). There is also a step by step tutorial (with screenshots) on how to upgrade R on Windows, using the installr package. If you only see the option to upgrade to an older version of R, then change your mirror or try again in a few hours (it usually take around 24 hours for all CRAN mirrors to get the latest version of R).

I try to keep the installr package updated and useful, so if you have any suggestions or remarks on the package – you are invited to open an issue in the github page.

More at http://www.sanger.ac.uk/science/groups/lawley-lab

• New ProSplign tool integrated with Genome Workbench (Tutorial, Video)
• New export function for BAM/cSRA coverage graphs (Tutorial)
• New export function for alignments GFF3 format ((Tutorial))
• Tree View: implemented new export mode based on selections (tutorial coming)
• Tree View: added support for distance based circular trees
• Tree View: new rooting mode (Midpoint Root) results in more balanced trees (Tutorial)
• Tree View: added possibility to right-click on an edge between two nodes and "Place Root at Middle of Branch" – to re-root at mid-branch (Tutorial)

Cleaning your data in this way is often required: Reads from small-RNA sequencing contain the 3’ sequencing adapter because the read is longer than the molecule that is sequenced. Amplicon reads start with a primer sequence. Poly-A tails are useful for pulling out RNA from your sample, but often you don’t want them to be in your reads.

Cutadapt helps with these trimming tasks by finding the adapter or primer sequences in an error-tolerant way. It can also modify and filter reads in various ways. Adapter sequences can contain IUPAC wildcard characters. Also, paired-end reads and even colorspace data is supported. If you want, you can also just demultiplex your input data, without removing adapter sequences at all.

Cutadapt comes with an extensive suite of automated tests and is available under the terms of the MIT license.

If you use cutadapt, please cite DOI:10.14806/ej.17.1.200 .

Address of the bookmark: https://cutadapt.readthedocs.io/en/stable/installation.html#quickstart

More at http://www.navinlab.com/navinlab/home.html

Address of the bookmark: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0090581

http://www.nbri.res.in/temp.php

Address of the bookmark: http://www.cytoscape.org/

School of Life Sciences

Department of Animal Biology

Applications are invited on a plane paper (along with copies of educational qualifications and experience) from eligible candidates for the selection of following position to work under a collaborative research project entitled “Development and application of high resolution genome conformation capture technology to investigate genome architecture in space and time” between University of Hyderabad and CR Rao advanced Institute of Mathematics, Statistics and Computer Sciences, sponsored by Department of Biotechnology, Government of India, New Delhi

Name and No. of positions JRF‐ONE

Emoluments for the position Rs. 25,000/p.m. + Eligible HRA

Qualifications MSc or M.Tech in any branch of biology/bioinformatics/computational biology/computer sciences/Mathematics/Physics

Duration Appointments are made initially for ONE year and can be extended further TWO years or until the duration of project

Our laboratory is interested in understanding signalling and spatiotemporal dynamics of 3‐Dimensional genome architecture and gene expression during embryonic stem cell differentiation by utilizing a combination of cellular, molecular genetics, Biochemical and computational tools in combination with next generation sequencing based chromatin structure analysing methods. Successful candidates shall pursue project related to either experimental or computational analysis of genome and Epigenomics data derived from human and mouse cells. Experience in Computational biology, bioinformatics, statistics, machine learning and algorithmic development is required. Knowledge of programming languages (e.g. C, C++, Perl, Python, Ruby etc.) and statistical framework (e.g. R, matlab, etc.) is preferable. Basic understanding of molecular biology will be an added advantage.

Interested candidates with the above mentioned qualification can send their curriculum vitae to Dr. K. Sreenivasulu, Department of Animal Biology, School of Life Sciences, South campus, University of Hyderabad or via email at positionssklab@gmail.com or svksl@uohyd.ernet.in.

Candidates with CSIR/UGC/ICMR/DBT/BINC qualifications if interested in above mentioned area of research are welcomed to approch principal investigator for a position leading to PhD. Last date for submission of applications is 17/06/2016. Eligible candidates will be called for an interview and they should carry all original certificates of the qualifying exam. No TA/ DA will be paid for attending the interview or at the time of joining the post.

Advertisement: http://www.uohyd.ac.in/images/recruitment/jrf_260516.pdf