Stay at home if you have coronavirus symptoms

Stay at home if you have either:

• a high temperature – you feel hot to touch on your chest or back
• a new, continuous cough – this means you've started coughing repeatedly

DO NOT TAKE

Ibrufen

https://amp.theguardian.com/world/2020/mar/14/anti-inflammatory-drugs-may-aggravate-coronavirus-infection

How to avoid catching and spreading coronavirus (social distancing)

Everyone should do what they can to stop coronavirus spreading.

It is particularly important for people who:

• are 70 or over
• have a long-term condition
• are pregnant
• have a weakened immune system

Below are the 52 Coronavirus COVID-19 Testing sites/locations in India.

State: Andhra Pradesh       

1. Sri Venkateswara Institute of Medical Sciences, Tirupati
2. Andhra Medical College, Visakhapatnam, Andhra Pradesh
3. GMC, Anantapur, AP

State: Andaman & Nicobar islands

1. Regional Medical Research Centre, Port Blair, Andaman, and Nicobar

State: Assam

1. Gauhati Medical College, Guwahati
2.  Regional Medical Research Center, Dibrugarh

State: Bihar

1. Rajendra Memorial Research Institute of Medical Sciences, Patna

State: Chandigarh

1. Post Graduate Institute of Medical Education & Research, Chandigarh

State: Chhattisgarh

1. All India Institute Medical Sciences, Raipur

Union Territory: Delhi-NCT 

1. All India Institute Medical Sciences, Delhi
2. National Centre for Disease Control, Delhi

State: Gujarat

1. BJ Medical College, Ahmedabad
2. M.P.Shah Government Medical College, Jamnagar

State: Haryana

1. Pt. B.D. Sharma Post Graduate Inst. of Med. Sciences, Rohtak, Haryana
2. BPS Govt Medical College, Sonipat

State: Himachal Pradesh

1. Indira Gandhi Medical College, Shimla, Himachal Pradesh
2. Dr.Rajendra Prasad Govt. Med. College, Kangra, Tanda, HP

Union Territory: Jammu and Kashmir

1. Sher‐e‐ Kashmir Institute of Medical Sciences, Srinagar
2. Government Medical College, Jammu

State: Jharkhand

1. MGM Medical College, Jamshedpur

State: Karnataka

1. Bangalore Medical College & Research Institute, Bangalore
2. National Institute of Virology Field Unit Bangalore
3. Mysore Medical College & Research Institute, Mysore
4. Hassan Inst. of Med. Sciences, Hassan, Karnataka
5. Shimoga Inst. of Med. Sciences, Shivamogga, Karnataka

State: Kerala

1. National Institute of Virology Field Unit, Kerala
2. Govt. Medical College, Thiruvananthapuram, Kerala
3. Govt. Medical College, Kozhikode, Kerala

State: Madhya Pradesh

1. All India Institute Medical Sciences, Bhopal
2. National Institute of Research in Tribal Health (NIRTH), Jabalpur

State: Meghalaya

1. NEIGRI of Health and Medical Sciences, Shillong, Meghalaya

State: Maharashtra

1. Indira Gandhi Government Medical College, Nagpur
2. Kasturba Hospital for Infectious Diseases, Mumbai

State: Manipur

1. J N Inst. of Med. Sciences Hospital, Imphal‐East, Manipur

State: Odisha

1. Regional Medical Research Center, Bhubaneswar

Union Territory: Puducherry

1. Jawaharlal Institute of Postgraduate Medical Education & Research, Puducherry

State: Punjab

1. Government Medical College, Patiala, Punjab
2. Government Medical College, Amritsar

State: Rajasthan

1. Sawai Man Singh, Jaipur
2. Dr. S.N Medical College, Jodhpur
3. Jhalawar Medical College, Jhalawar, Rajasthan
4. SP Med. College, Bikaner, Rajasthan

State: Tamil Nadu

1. King’s Institute of Preventive Medicine & Research, Chennai
2. Government Medical College, Theni

State: Tripura

1. Government Medical College, Agartala

State: Telangana

1. Gandhi Medical College, Secunderabad

State: Uttar Pradesh

1. King’s George Medical University, Lucknow
2. Institute of Medical Sciences, Banaras, Hindu University, Varanasi
3. Jawaharlal Nehru Medical College, Aligarh

State: Uttarakhand

1. Government Medical College, Haldwani

State: West Bengal

1. National Institute of Cholera and Enteric Diseases, Kolkata
2. IPGMER, Kolkata

Is this available, or still under trial mode? 

https://www.nanoporetech.com/

https://www.nanoporetech.com/technology/the-minion-device-a-miniaturised-sensing-system/the-minion-device-a-miniaturised-sensing-system

The work will focus on the functional studies of small RNAs by using next-generation sequencing approaches.

Candidates should hold a Ph.D. degree and have strong background in bioinformatics.
The University of Nice Sophia-Antipolis provides a wide range of facilities and training essential for biomedical research.

Interested applicants should send a PDF with a cover letter stating research interests and qualifications, an updated CV, a summary of previous research experience and contact information for two references to Michele Trabucchi ( mtrabucchi@unice.fr )

Homepage: http://www.unice.fr/c3m/EN/Equipe10.html

Our main advantages over other similar tools are:

• GeneAnalytics is very simple and intuitive to use.
• GeneAnalytics is based on our proprietary databases – GeneCards, MalaCards, PathCards and LifeMap Discovery, each of them integrates information from a very large number of resources.
• GeneAnalytics supplies links for extensive background information on each of the matched results.

I invite you to try it out for free at geneanalytics.genecards.org, and would be happy to hear your comments and thoughts on how we can improve.

Yours,

Shani Ben-Ari Fuchs

LifeMap Sciences Team

Address of the bookmark: http://www.gigasciencejournal.com/content/2/1/15?utm_content=buffer25ee0&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

Please report new whole genome alignment tools under comment sections.

Address of the bookmark: http://www.cs.utoronto.ca/~brudno/721.full.pdf

The work in our lab has focussed on computational approaches to speed-up the finishing process. Specifically, we have explored the use of optical mapping and mate-pair data to augment assemblies and direct finishing experiments. The tools developed in our lab have been used in several finishing projects, producing complete genomes (and near-complete ones) with surprisingly little computational and experimental effort (Nagarajan et al., in submission). The executables (as well as source code) for these tools are freely available here:

• Scaffolding using Optical Restriction Mapping
  Optical Maps are global, ordered maps of restriction site locations in a genome. This information can be quite useful in scaffolding contigs from a shotgun assembly to guide the finishing process. A set of programs to exploit optical maps for assembly can be found here: SOMA v2.0 (63 MB tar.gz file). This version of SOMA contains several improvements to programs in v1.0 as well as new scripts for working with multiple maps, contig graphs and scaffolds. 
  
  
• Augmenting assemblies with mate-pair data
  Mate-pair information can be valuable in augmenting short-read assemblies and reconstructing the genome as larger scaffolds. AMOS-Hybrid is a pipeline written in the AMOS framework (open-source assembly tools) to merge arbitrary mated reads into an existing assembly and merge contigs and create scaffolds where possible. Source code and executables for AMOS-Hybrid are available here: AMOS-Hybrid v1.0 (142 MB tar.gz file). 
  
  
• Assembly and sequence-composition guided finishing
  Contigs from a shotgun assembly are typically linked together in a graph structure that can serve to guide finishing and in some case close gaps in-silico. Also, in many cases, sequence composition of contigs can provide clues to fill gaps in scaffolds. A set of scripts to automate some of these tasks can be found here: Finishing Scripts v1.0 (63 MB tar.gz file). 

http://www.cbcb.umd.edu/finishing/

Address of the bookmark: http://www.cbcb.umd.edu/finishing/

Relying on unique software architecture, PLAST takes full advantage of recent multi-core personal computers without requiring any additional hardware devices.

PLAST stands for Parallel Local Sequence Alignment Search Tool and is was published in BMC Bioinformatics.

PLAST is a general purpose sequence comparison tool providing the following benefits:

• PLAST is a high-performance sequence comparison tool designed to compare two sets of sequences (query vs. reference),
• Reduces the processing time of sequences comparisons while providing highest quality results,
• Contains a fully integrated data filtering engine capable of selecting relevant hits with user-defined criteria (E-Value, identity, coverage, alignment length, etc.),
• Does not require any additional hardware, since it is a software solution. It is easy to install, cost-effective, takes full advantage of multi-core processors and uses a small RAM footprint,
• Ready to be used on desktop computer, cluster, cloud as well as within distributed system running Hadoop.

https://plast.inria.fr/

Address of the bookmark: https://plast.inria.fr/

The Mix algorithm, approach and results were published in BMC bioinformatics : http://www.biomedcentral.com/1471-2105/14/S15/S16.

Address of the bookmark: https://github.com/cbib/MIX

Most people who have a balanced translocation have the right amount of chromosome material but it has been rearranged in some way. This may happen if two chromosomes swap pieces (a reciprocal translocation). In other cases two whole chromosomes may become stuck together (a Robertsonian translocation). This page describes what happens when someone has a reciprocal translocation.

Reciprocal chromosomal translocations occur following double-strand breaks (DSBs) in DNA when a section of one chromosome is exchanged with that of another, non-homologous chromosome. These exchanges may produce a dysfunctional fusion gene that disrupts cell growth and survival pathways, such as the translocations seen in leukemia and childhood sarcomas.

Chromosomal translocations have been well studied in cancer cell lines which are associated with two types of cancer, acute myeloid leukemia and Ewing's sarcoma, but determining how they contribute to cancer development is complicated by additional mutations and altered gene expression profiles in these cultured cells. Now, Juan Carlos Ramirez, head of the Viral Vector Facility at the Fundacion Centro Nacional de Investigaciones Cardiovasculares (CNIC) and his colleagues Raul Torres at CNIC and Sandra Rodriguez-Peralez at the Spanish National Cancer Center (CNIO) in Madrid, Spain have used a new genome editing tool, CRISPR-Cas9, to induce chromosomal translocations for the first time in a human cell line and in primary cells. The study's authors conclude by stating that the use of this technology will allow for the clarification of how and why chromosomal translocation occurs, which without doubt will allow new anti-cancer therapeutic strategies to be tackled.

Using RNA-Guided Endonuclease (RGEN) technology or CRISPR/Cas9 genome engineering technology, CNIO and CNIC researchers have shown that it is possible to obtain such chromosomal translocations. The CRISPR-Cas9 system is extremely simple to introduce a cut at the desired locus, easier to design, and cheaper than many other systems. Using the CRISPR-Cas9 system, Ramirez and his colleagues reproduced the translocations observed in Ewing’s Sarcoma (ES) and Acute Myeloid Leukemia (AML) patient cell lines in HEK293 cells and also generated the ES translocation in human mesenchymal stem cells and the AML translocation in umbilical cord blood cells.

By focusing on chromosomal translocation without the confounding characteristics of established cell lines, these new cells lines should help answer the fundamental question of what causes a cell to become cancerous. Ramirez and his team now look forward to modeling other chromosome translocations in a variety of cell types.

Reference:

http://en.wikipedia.org/wiki/Chromosomal_translocation

http://www.nature.com/ncomms/2014/140603/ncomms4964/abs/ncomms4964.html