For use case 1 we obtained the following ENCODE and ROADMAP datasets https://www.encodeproject.org/files/ENCFF446WOD/@@download/ENCFF446WOD.bed.gz, https://www.encodeproject.org/files/ENCFF546PJU/@@download/ENCFF546PJU.bam, https://www.encodeproject.org/files/ENCFF059BEU/@@download/ENCFF059BEU.bam. Blacklisted regions were obtained from http://mitra.stanford.edu/kundaje/akundaje/release/blacklists/hg38-human/hg38.blacklist.bed.gz. The human genome version hg38 was obtained from http://hgdownload.cse.ucsc.edu/goldenPath/hg38/bigZips/hg38.fa.gz.

For use case 2 we used the set of narrowPeak files summarized in https://github.com/wkopp/janggu_usecases/tree/master/extra/urls.txt (archived version v1.0.1). The human genome version hg19 was obtained from http://hgdownload.cse.ucsc.edu/goldenPath/hg19/bigZips/hg19.fa.gz

For use case 3 we used the ENCODE datasets https://www.encodeproject.org/files/ENCFF591XCX/@@download/ENCFF591XCX.bam, https://www.encodeproject.org/files/ENCFF736LHE/@@download/ENCFF736LHE.bigWig, https://www.encodeproject.org/files/ENCFF177HHM/@@download/ENCFF177HHM.bam as we as the GENCODE annotation v29 from ftp://ftp.ebi.ac.uk/pub/databases/gencode/Gencode_human/release_29/gencode.v29.annotation.gtf.gz.

Address of the bookmark: http://mitra.stanford.edu/

https://cran.r-project.org/web/packages/chromoMap/index.html

Address of the bookmark: http://www.weizmann.ac.il/Biological_Regulation/IgorUlitsky/PLAR

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

Address of the bookmark: https://sites.google.com/g.hmc.edu/empress/home

We have sequenced the CHM13hTERT human cell line with a number of technologies. Human genomic DNA was extracted from the cultured cell line. As the DNA is native, modified bases will be preserved. The data includes 30x PacBio HiFi, 120x coverage of Oxford Nanopore, 70x PacBio CLR, 50x 10X Genomics, as well as BioNano DLS and Arima Genomics HiC. Most raw data is available from this site, with the exception of the PacBio data which was generated by the University of Washington/PacBio and is available from NCBI SRA.

A UCSC browser is available for v2.0 (as well as legacy v1.0 and v1.1 versions). An interactive dotplot visualization of all genomic repeats is also available from resgen.io. Known issues identified in the assembly are tracked at CHM13 issues.

MORE at https://github.com/marbl/CHM13

Address of the bookmark: https://www.science.org/doi/10.1126/science.abj6987

There are Neanderthal bones. Denisovan remains. Fossils from ancient relatives of our species. Each specimen gives us another piece of the story of how Homo sapiens came to be.

But now imagine that one of the most important characters in that story has left behind no fossil, no skull, no bone, and no genome.

Nothing that a paleontologist could put behind glass.

And yet, somehow, that ancient population is still speaking.

It is speaking through us.

A fascinating new study published in Science (https://www.science.org/doi/10.1126/science.aef8874?) introduces a computational method called TRACE, which allows scientists to search modern human genomes for genetic traces of ancient populations that have never been directly identified.

For years, scientists have known that our ancestors interacted with Neanderthals and Denisovans. Their DNA still survives in modern human populations. But these may not have been the only ancient humans who crossed paths with our ancestors.

Using TRACE, researchers found evidence of an unknown archaic population that contributed DNA to the ancestors of modern humans before humans spread beyond Africa.

Even more surprisingly, they found evidence of a much older lineage—possibly around 1.8 million years old—whose genetic legacy may have reached some modern humans indirectly through Denisovans.

The extraordinary part is that researchers did not need DNA from these mysterious populations to detect them. Instead, they studied the ancestry of modern genomes and looked for genetic patterns that revealed unusually ancient branches of our family history.

It is almost like finding the footprints of someone who disappeared thousands of years ago—without ever finding the person themselves.

These discoveries suggest that human evolution was far more complicated than a simple family tree. Ancient human populations repeatedly separated, migrated, met and exchanged genes. Some eventually disappeared, but pieces of their genetic legacy survived.

And that means our DNA is more than a biological instruction manual.

It is also an archive of human history.

Some of the people recorded in that archive may never have a name or a fossil. But thanks to methods like TRACE, their genetic echoes are finally becoming visible.

The next big discovery about our ancient past may not come from a fossil in the ground.

It may already be inside us.

Reference: Zhang et al., “Recovering signatures of archaic hominin introgression using ancestral recombination graphs,” Science (2026), DOI: 10.1126/science.aef8874. Detail paper @ https://www.science.org/doi/10.1126/science.aef8874?

The TRACE repository (https://github.com/YulinZhang9806/trace) contains the Python package and command-line tools used to infer archaic admixture tracts from ancestral recombination graphs.

Address of the bookmark: http://www.dkfz.de/en/applied-bioinformatics/telomerehunter/telomerehunter.html

https://link.springer.com/epdf/10.1186/s12864-018-5330-5?author_access_token=ICASEpyMAQaxLlKw--fyCG_BpE1tBhCbnbw3BuzI2RMA57KLmXk5bZabRUiDQzRFHXd6hjm4kWSiLV3mU5XVMitqXUwFMSo4x5vbfty0EDQ9PW1sd1h923_TYXkvJ5niSwAyZ7BklJ0ujFAFhcKtjw%3D%3D

Address of the bookmark: https://webs.iiitd.edu.in/raghava/humcfs/