1 Falcon https://github.com/PacificBiosciences/pb-assembly

2 Canu assembler http://canu.readthedocs.io/en/latest/index.html

3 Miniasm assembler https://github.com/lh3/miniasm

4 PBJelly scaffolding tool https://sourceforge.net/projects/pb-jelly/

5 ARCS scaffolding tool https://github.com/bcgsc/arcs

6 Redundans reduction and scaffolding tool https://github.com/Gabaldonlab/redundans

7 Arrow error correction https://github.com/PacificBiosciences/ GenomicConsensus

8 PILON error correction https://github.com/broadinstitute/pilon/wiki

9 BUSCO single copy gene markers http://busco.ezlab.org/

10 Bandage graph assembly viewer https://rrwick.github.io/Bandage/

11 Gepard dotter http://cube.univie.ac.at/gepard

12 MUMmer aligner and plotter http://mummer.sourceforge.net/

• -e Makes the line of code be executed instead of a script
• -n Forces your line to be called in a loop. Allows you to take lines from the diamond operator (or stdin)
• -p Forces your line to be called in a loop. Prints $_ at the end

• This counts the number of quotation marks in each line and prints it

  perl -ne '$cnt = tr/"//;print "$cnt\n"' inputFileName.txt

• Adds string to each line, followed by tab

  perl -pe 's/(.*)/string\t$1/' inFile > outFile

• Append a new line to each line

  perl -pe 's//\n/' all.sent.classOnly > all.sent.classOnly.sep

• Replace all occurrences of pattern1 (e.g. [0-9]) with pattern2

  perl -p -i.bak -w -e 's/pattern1/pattern2/g' inputFile

• Go through file and only print words that do not have any uppercase letters.

  perl -ne 'print unless m/[A-Z]/' allWords.txt > allWordsOnlyLowercase.txt

• Go through file, split line at each space and print words one per line.

  perl -ne 'print join("\n", split(/ /,$_));print("\n")' someText.txt > wordsPerLine.txt

• or in other words, delete every character that is not a letter, white space or line end (replace with nothing)

  perl -pne 's/[^a-zA-Z\s]*//g' text_withSpecial.txt > text_lettersOnly.txt

• perl -pne 'tr/[A-Z]/[a-z]/' textWithUpperCase.txt > textwithoutuppercase.txt;

• Print only the second column of the data when using tabular as a separator

  perl -ne '@F = split("\t", $_); print "$F[1]";' columnFileWithTabs.txt > justSecondColumn.txt

• One-Liner: Sort lines by their length

  perl -e 'print sort {length $a <=> length $b} <>' textFile

• One-Liner: Print second column, unless it contains a number

  perl">perl -lane 'print $F[1] unless $F[1] =~ m/[0-9]/' wordCounts.txt

DrugBank:

a bioinformatics- cheminformatics resource combining detailed drug data with comprehensive drug target information with >4900 drug (~3500 experimental) and >1500 non-redundant protein entries http://www.drugbank.ca/

Drug-Target Network:

network data of 890 drugs and 394 target human proteins http://www.nature.com/nbt/journal/v25/ n10/suppinfo/nbt1338_S1.html

Drug-Therapy Network:

three layers of drug-therapy networks according to the ATC classification http://www.biomedcentral.com/1471-2210/8/5/additional/

FDA Orange Book:

approved drug products with therapeutic equivalence evaluations http://www.fda.gov/cder/ob/HIDdb: Thomson Investigational drugs database including information on 107000 patents, 25000 investigational drugs and 80000 chemical structures http://scientific.thomson.com/products/iddb/HOMIM: a knowledgebase of human genes and genetic disorders http://www.ncbi.nlm.nih.gov/ sites/entrez?db=omim

PDTD:

3D drug target structure database with a target identification option http://www.dddc.ac.cn/pdtd/

Predicted drug targets:

a set of 1383 predicted drug targets http://www.biomedcentral.com/1471-2105/8/353/additional/ [25] Protein ligand network: a network of 4208 ligands and ~15000 binding sites http://pbil.kaist.ac.kr/~parkkw/Lnet/

TDR Targets Database:

identification and ranking targets against neglected tropical diseases http://tdrtargets.org/

Therapeutic Target Database:

lists >1500 therapeutic targets, disease conditions and corresponding drugs http://xin.cz3.nus.edu.sg/group/cjttd/ttd.asp

autokeras v1.0.1: Implements an interface to AutoKeras, an open source software library for automated machine learning. See README for an example.

MTPS v0.1.9: Implements functions to predict simultaneous multiple outcomes based on revised stacking algorithms as described in Xing et al. (2019). See the vignette to get started.

quanteda.textmodels v0.9.1: Implements methods for scaling models and classifiers based on sparse matrix objects representing textual data. It includes implementations of the Laver et al. (2003) wordscores model, the Perry & Benoit’s (2017) class affinity scaling model, and the Slapin & Proksch (2008) wordfish model. See the vignette to get started.

SeqDetect v1.0.7: Implements the automaton model found in Krleža, Vrdoljak & Brčić (2019) to detect and process sequences. See the vignette for examples and theory.

studyStrap v1.0.0: Implements multi-Study Learning algorithms such as Merging, Study-Specific Ensembling (Trained-on-Observed-Studies Ensemble), the Study Strap, and the Covariate-Matched Study Strap. and offers over 20 similarity measures. See Kishida, et al. (2019) for background and the vignette for how to use the package.

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

https://www.forbes.com/sites/jasonevangelho/2018/07/23/5-reasons-you-should-switch-from-windows-to-linux-right-now/#70c74923777b

Special Symbols – File handlers

$@ Perl error string

$! Error number from C, ‘errno’

$^E Extended OS error info, such as ‘CDROM tray not closed’

$? Exit status from last process

$AGRV – name of current file

@ARGV – command line arguments

$ARGV – special file handle for command line filenames

$. – current line number

$/ - input line delimiter

$\ - output line delimiter

$% - current page number

$&/${^MATCH} – last successful matching string

$`/${^PREMATCH} – the string preceding the last matching string

$’/${^POSTMATCH} – the string following the last matching string

$1, $2, … - matching groups in the parentheses in pattern

More at https://www.tutorialspoint.com/perl/perl_special_variables.htm

These days, if you don’t have an online presence it affects which opportunities will come your way. I showed an example of someone looking for ECR conference speakers on Twitter and all suggestions in response to this were for ECRs who were on Twitter.

When someone Googles your name, what do they get? What do you want them to see? I gave my opinion on some profiles:

• Google Scholar – essential. Sign up, and once you have a publication, make your profile public. Website – essential. As a minimum we add each person to the lab website with links to their professional profiles.
  
  
• ORCiD – required. All lab members need an ORCiD for our publications. Easy to set up a profile and link to services that will auto-update it for you, e.g. when you publish a paper.
  
  
• Twitter – important. Possibly essential these days. Many scientists are on Twitter and there are a lot of benefits to joining. It is somehow more professional than other social networks. Twitter handles can even be included on papers. Great for networking with other scientists and for following meetings. This a great guide to getting started.
  
  
• LinkedIn – important outside of academia. I personally dislike LinkedIn, but it is essential if you are job-hunting outside of academic circles.
  
  
• ImpactStory – not essential but fun. You can make a profile based on your ORCiD. It’s a good way to keep track of the attention that your work gets online.
  
  
• Publons – might become important. This is a way to log your review activity.

Many places to set up an author profile, e.g. researcherid. Most are not worth bothering with if you have ORCiD and/or Google Scholar page.

• ResearchGate – not important. It’s incredibly popular but I have never needed it and dislike it for similar reasons to LinkedIn.

How active you are on these platforms determines what you will get out of them, but as a minimum, try and keep them active and up-to-date.

I left it to the people in the lab to setup whatever accounts they like. A possibility is to get people to sign up right there in the session, but I think it’s important for everyone to make a choice about what profile(s) they want to create. The only one I require people in the lab to setup is ORCiD.

The Indian Institute of Science (IISc) has been recognised as an Institution of Eminence (IoE) by the Government of India. As a part of the IoE initiative, IISc has created the Raman Post-Doc Program, a highly selective Post-Doc program with 50 positions. The Institute invites applications for intensely motivated individuals with an established record of high quality research, for the positions of Raman Post-Docs. Overseas Citizens of India (OCI), Persons of Indian Origin (PIO), and foreign nationals are also eligible to apply.

The information below specifically pertains to applicants intending to work with Faculty in the Biological Sciences Division.

This is a rolling advertisement and candidates can apply any time during the year. The applications will be reviewed every four months around the following dates: April 30, August 31, December 31.

Further details about the various departments and interdisciplinary centres, faculty profiles, academic programs, and areas of research are available at the departmental websites

and also at www.iisc.ac.in

Note: Candidates should preferably be less than 32 years of age at the time of applying.