BOL: Related items

PBSuite: Software for Long-Read Sequencing Data from PacBio

Jit — Mon, 27 Feb 2017 09:54:47 -0600

PBJelly - the genome upgrading tool.
PBHoney - the structural variation discovery tool

Both are contained within the PBSuite code found in downloads.

----- PBJelly -----
Read The Paper
http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0047768

PBJelly is a highly automated pipeline that aligns long sequencing reads (such as PacBio RS reads or long 454 reads in fasta format) to high-confidence draft assembles. PBJelly fills or reduces as many captured gaps as possible to produce upgraded draft genomes.

----- PBHoney -----
Read The Paper
http://www.biomedcentral.com/1471-2105/15/180/abstract

PBHoney is an implementation of two variant-identification approaches designed to exploit the high mappability of long reads (i.e., greater than 10,000 bp). PBHoney considers both intra-read discordance and soft-clipped tails of long reads to identify structural variants.

Address of the bookmark: https://sourceforge.net/projects/pb-jelly/

Multi-metagenome assembly

Radha Agarkar — Fri, 03 Mar 2017 10:14:18 -0600

This project contains scripts and tutorials on how to assemble individual microbial genomes from metagenomes, as described in:

Genome sequences of rare, uncultured bacteria obtained by differential coverage binning of multiple metagenomes

Mads Albertsen, Philip Hugenholtz, Adam Skarshewski, Gene W. Tyson, Kåre L. Nielsen and Per .H. Nielsen

Nature Biotechnology 2013, doi: 10.1038/nbt.2579

Address of the bookmark: https://github.com/MadsAlbertsen/multi-metagenome

PhenoGram

Jit — Tue, 07 Mar 2017 08:35:12 -0600

With PhenoGram researchers can create chomosomal ideograms annotated with lines in color at specific base-pair locations, or colored base-pair to base-pair regions, with or without other annotation. PhenoGram allows for annotation of chromosomal locations and/or regions with shapes in different colors, gene identifiers, or other text. PhenoGram also allows for creation of plots showing expanded chromosomal locations, providing a way to show results for specific chromosomal regions in greater detail.

Address of the bookmark: http://ritchielab.psu.edu/software/phenogram-downloads

sequenceserver

Jit — Fri, 10 Mar 2017 08:51:55 -0600

SequenceServer lets you rapidly set up a BLAST+ server with an intuitive user interface for use locally or over the web.

More at http://sequenceserver.com.

Address of the bookmark: https://github.com/wurmlab/sequenceserver

DBG2OLC:Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies

Jit — Wed, 19 Apr 2017 10:09:51 -0500

DBG2OLC:Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies

Our work is published in Scientific Reports:

Ye, C. et al. DBG2OLC: Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies. Sci. Rep. 6, 31900; doi: 10.1038/srep31900 (2016).

http://www.nature.com/articles/srep31900

The manual can be downloaded from:

https://github.com/yechengxi/DBG2OLC/raw/master/Manual.docx

To use precompiled versions,please go to:

https://github.com/yechengxi/DBG2OLC/tree/master/compiled

Address of the bookmark: https://github.com/yechengxi/DBG2OLC

Bacterial genome assembly !!

Jit — Fri, 05 May 2017 06:11:22 -0500

This tutorial will serve as an example of how to use free and open-source genome assembly and secondary scaffolding tools to generate high quality assemblies of bacterial sequence data. The bacterial sample used in this tutorial will be referred to simply as “Species” since it is live data. This data is paired-end data, meaning that there are forward and reverse reads, which we will designate as Sample_R1.fastq and Sample_R2.fastq, respectively.

https://github.com/jennomics/WorkflowPaper/blob/master/Genome%20Assembly%20and%20Annotation.md

Address of the bookmark: http://bioinformatics.uconn.edu/bacterial-genome-assembly-tutorial/

RNA-seq Analysis Workshop Course Materials

Jit — Tue, 03 Jul 2018 08:14:14 -0500

RNAseq can be roughly divided into two "types": Reference genome-based - an assembled genome exists for a species for which an RNAseq experiment is performed. It allows reads to be aligned against the reference genome and significantly improves our ability to reconstruct transcripts. This category would obviously include humans and most model organisms but excludes the majority of truly biologically intereting species (e.g., Hyacinth macaw); Reference genome-free - no genome assembly for the species of interest is available. In this case one would need to assemble the reads into transcripts using de novo approaches. This type of RNAseq is as much of an art as well as science because assembly is heavily parameter-dependent and difficult to do well. In this lesson we will focus on the Reference genome-based type of RNA seq. http://chagall.med.cornell.edu/RNASEQcourse/

Address of the bookmark: http://chagall.med.cornell.edu/RNASEQcourse/

Some useful Bioinformatics links

Jit — Fri, 16 Mar 2018 20:50:10 -0500

Reference-free prediction of rearrangement breakpoint reads | Bioinformatics | Oxford Academic

https://academic.oup.com/bioinformatics/article/30/18/2559/2475628
Reference-free SNP detection: dealing with the data deluge

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4083407/
GATB/DiscoSnp: DiscoSnp is designed for discovering all kinds of SNPs (not only isolated ones), as well as insertions and deletions, from raw set(s) of reads.

https://github.com/GATB/DiscoSnp
De novo assembly | Oxford Nanopore Technologies

https://nanoporetech.com/taxonomy/term/131
De novo long-read assembly of a complex animal genome | bioRxiv

https://www.biorxiv.org/content/early/2017/09/10/187054
Rapid de novo assembly of the European eel genome from nanopore sequencing reads | Scientific Reports

https://www.nature.com/articles/s41598-017-07650-6.epdf?author_access_token=dktG7e98wyRJnaEEMTcPqtRgN0jAjWel9jnR3ZoTv0P7E7t-wVGo30iojNO7dICajNY_7PE5xVPv6OoLe7hn9TeUjcZ5umREOzNoPMWkfYH58RS6uxm3vm4e4BG2AA_WKW84i6egKK271NwMq-NfzA%3D%3D
nanoporetech/ont-assembly-polish: ONT assembly and Illumina polishing pipeline

https://github.com/nanoporetech/ont-assembly-polish
Generade-nl/TULIP: TULIP - The Uncorrected Long read Itegration Pipeline

https://github.com/Generade-nl/TULIP
www.nature.com

https://www.nature.com/articles/s41598-017-03996-z
Example gallery of NanoPlot – Gigabase or gigabyte

https://gigabaseorgigabyte.wordpress.com/2017/06/01/example-gallery-of-nanoplot/
Tool documentation

https://broadinstitute.github.io/picard/command-line-overview.html
Chromosome-scale scaffolding of de novo genome assemblies based on chromatin interactions. - PubMed - NCBI

https://www.ncbi.nlm.nih.gov/pubmed/24185095
MAFFT ver.7 - a multiple sequence alignment program

https://mafft.cbrc.jp/alignment/software/algorithms/algorithms.html
Measuring the distance between multiple sequence alignments | Bioinformatics | Oxford Academic

https://academic.oup.com/bioinformatics/article/28/4/495/212883
The MUMmer 3 examples

http://mummer.sourceforge.net/examples/
MAFFT ver.7 - a multiple sequence alignment program

https://mafft.cbrc.jp/alignment/software/tips.html
Omega | Overlap-graph de novo Assembler for Metagenomics

https://omega.omicsbio.org/
abiswas-odu/Disco: Multi-threaded Distributed Memory Overlap-Layout-Consensus (OLC) Metagenome Assembler

https://github.com/abiswas-odu/Disco
SAGE: String-overlap Assembly of GEnomes | BMC Bioinformatics | Full Text

https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-15-302

Fast and sensitive mapping of nanopore sequencing reads with GraphMap | Nature Communications

https://www.nature.com/articles/ncomms11307
lumpy-sv/extractSplitReads_BwaMem at master · arq5x/lumpy-sv

https://github.com/arq5x/lumpy-sv/blob/master/scripts/extractSplitReads_BwaMem
jts/nanocorrect: Experimental pipeline for correcting nanopore reads

https://github.com/jts/nanocorrect

video - how to install flash plugin on ubuntu 14.04 LTS 64-bit version - Ask Ubuntu

https://askubuntu.com/questions/469553/how-to-install-flash-plugin-on-ubuntu-14-04-lts-64-bit-version
lh3/fermi: A WGS de novo assembler based on the FMD-index for large genomes

https://github.com/lh3/fermi
Multi-metagenome

http://madsalbertsen.github.io/multi-metagenome/docs/step9.html
Bandage by rrwick

https://rrwick.github.io/Bandage/
Codon Optimization OnLine (COOL): a web-based multi-objective optimization platform for synthetic gene design | Bioinformatics | Oxford Academic

https://academic.oup.com/bioinformatics/article/30/15/2210/2391162
Genome Architecture and Evolution of a Unichromosomal Asexual Nematode - ScienceDirect

https://www.sciencedirect.com/science/article/pii/S096098221731076X?via%3Dihub#fig4
How to determine chimeras in my de novo assembly? - SEQanswers

http://seqanswers.com/forums/showthread.php?t=26721
samtools(1) manual page

http://www.htslib.org/doc/samtools.html
How To Filter Mapped Reads With Samtools

https://www.biostars.org/p/56246/
The MUMmer 3 manual

http://mummer.sourceforge.net/manual/#nucmer
assembly_olc.pdf

http://www.cs.jhu.edu/~langmea/resources/lecture_notes/assembly_olc.pdf
SAM and BAM filtering oneliners

https://gist.github.com/davfre/8596159
Inroduction to dot-plots

http://www.code10.info/index.php%3Foption%3Dcom_content%26view%3Darticle%26id%3D64:inroduction-to-dot-plots%26catid%3D52:cat_coding_algorithms_dot-plots%26Itemid%3D76
RepeatFinder Home Page

http://www.cbcb.umd.edu/software/RepeatFinder/
RepeatFinderReprint.pdf

http://www.cbcb.umd.edu/software/RepeatFinder/RepeatFinderReprint.pdf
https://bernatgel.github.io/karyoploter_tutorial//Tutorial/CreateIdeogram/CreateIdeogram.html

https://bernatgel.github.io/karyoploter_tutorial//Tutorial/CreateIdeogram/CreateIdeogram.html
Circular Visualization in R

http://zuguang.de/circlize_book/book/introduction.html#a-qiuck-glance
Creating a coverage plot using BEDTools and R

https://davetang.org/muse/2015/08/05/creating-a-coverage-plot-using-bedtools-and-r/
Eval: A software package for analysis of genome annotations | BMC Bioinformatics | Full Text

https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-4-50
eval-documentation.pdf

http://mblab.wustl.edu/media/software/eval-documentation.pdf
OmicCircos: A Simple-to-Use R Package for the Circular Visualization of Multidimensional Omics Data

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3921174/
sequence - download.tardigrades.org > v1 > sequence

http://download.tardigrades.org/v1/sequence/
ksahlin/BESST: BESST - scaffolder for genomic assemblies

https://github.com/ksahlin/BESST
reubwn/scripts: Useful scripts for various things

https://github.com/reubwn/scripts
ICEberg

http://db-mml.sjtu.edu.cn/ICEberg/index.php
Satsuma - Evolution and Genomics

http://evomics.org/learning/genomics/satsuma/
A complete bacterial genome assembled de novo using only nanopore sequencing data | Nature Methods

https://www.nature.com/articles/nmeth.3444
vezzi/FRC_align: Computes FRC from SAM/BAM file and not from afg files

https://mail.google.com/mail/u/0/#inbox
Read GTF file into R - Dave Tang's blog

https://davetang.org/muse/2017/08/04/read-gtf-file-r/

https://bernatgel.github.io/karyoploter_tutorial//Tutorial/CustomGenomes/CustomGenomes.html

https://bernatgel.github.io/karyoploter_tutorial//Tutorial/CustomGenomes/CustomGenomes.html
Dot: Interactive dot plot for genome-genome alignments

https://dnanexus.github.io/dot/
Zoho Accounts

https://accounts.zoho.eu/signin?servicename=ZohoProjects&serviceurl=https%3A%2F%2Fprojects.zoho.eu%2Fportal%2Favaga2
lh3/minimap2: A versatile pairwise aligner for genomic and spliced nucleotide sequences

https://github.com/lh3/minimap2
SSPACE-LongRead: scaffolding bacterial draft genomes using long read sequence information | BMC Bioinformatics | Full Text

https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-15-211
Palindromic gene amplification — an evolutionarily conserved role for DNA inverted repeats in the genome | Nature Reviews Cancer

https://www.nature.com/articles/nrc2591
bioinformatics - BLAST DNA Sequences Reversed - Biology Stack Exchange

https://biology.stackexchange.com/questions/8160/blast-dna-sequences-reversed
LASTZ

http://www.bx.psu.edu/miller_lab/dist/README.lastz-1.02.00/README.lastz-1.02.00a.html
SOGo - (1652) Inbox

https://sogo.unamur.be/SOGo/so/jnarayan/Mail/view
Tetra-Nucleotide Analysis (TNA) | BIOiPLUG Help center

http://help.bioiplug.com/tetra-nucleotide-analysis-tna/

Clustering metagenomic contigs on tetranucleotide frequency — CGAT documentation

http://cgat.readthedocs.io/en/latest/recipes/metagenome_contigs_kmers.html

GWASpro: A High-Performance Genome-Wide Association Analysis Server

Rahul Nayak — Fri, 07 Dec 2018 08:04:57 -0600

GWASpro supports building complex design matrices, by which complex experimental designs that may include replications, treatments, locations and times, can be accounted for in the linear mixed model (LMM). GWASpro is optimized to handle GWAS data that may consist of up to 10 million markers and 10,000 samples from replicable lines or hybrids. GWASpro provides an interface that significantly reduces the learning curve for new GWAS investigators.

Address of the bookmark: https://bioinfo.noble.org/GWASPRO/

BINC (Bioinformatics National Certification) Examination 2018

Jit — Mon, 23 Apr 2018 03:34:53 -0500

Bioinformatics National Certification (BINC) was instituted by Department of Biotechnology, Government of India in 2005 at Savitribai Phule Pune University, formerly University of Pune, Pune to certify bioinformatics professionals and recognizing candidate's theoretical and practical ability and fostering interdisciplinary research. Later on, it was transferred to Jawaharlal Nehru University, New Delhi and then to Pondicherry University, Puducherry. Pondicherry University conducted the BINC examination in 2015, 2016 and 2017.

Biotech Consortium India Limited (BCIL), New Delhi is conducting the BINC 2018 examination on behalf Department of Biotechnology, Government of India.

BINC is a certification programme for graduate and post-graduate students for recognizing their exceptional bioinformatics knowledge and skills and to improve their employment opportunities. There is a growing need for trained manpower in the area of Bioinformatics. Currently, various universities and institutions, both government and private, impart Bioinformatics education in India. The qualifying candidates will be awarded a lifetime certificate. This certification would facilitate industries and potential employers in recruitment of Bioinformatics professionals having exceptionally good bioinformatics skills.

The certification under Bioinformatics National Certification (BINC) scheme is given to the candidates after three tier selection process. The successful candidates are also eligible for availing Junior Research Fellowship (JRF) for pursuing Ph.D. in Bioinformatics at recognized Indian universities/institutes. The research fellowships of all BINC qualified Indian nationals are funded by DBT. BINC qualified candidates are called DBT certified Bioinformaticians while the individuals availing the fellowships are called as DBT-BINC Junior Research Fellows (DBT-BINC-JRF). Cash prize of 10,000/- each is awarded to the top 10 BINC qualifiers.

Eligibility

i) Bachelor's/Master's degree in Life Sciences, Physical Sciences, Chemical Sciences, Mathematical Sciences, Agriculture, Veterinary, Medicine, Pharmacy, Engineering and Technology.

ii) No formal training, diploma or certificate in bioinformatics is required.

iii) Candidates in final year of Bachelor's/ Master's degree are also eligible to apply.

Pattern of Examination

Syllabus

The syllabus consists of six sections - Bioinformatics, Biology, Physical Science, Chemical Science, Mathematics & Statistics, and Information Technology.

Note: Paper-III will be computer based practical and will include programming on Bioinformatics

Important Dates

Examination Centers

BINC Fellowship

Forms & Downloads

FAQs

Contact Us

Nisha Singh
Biotech Consortium India Limited
(CIN: U73100DL1990PLC041486)
5th Floor, Anuvrat Bhawan 210, Deen Dayal Upadhyaya Marg New Delhi - 110 002
Tel.: 011-2321 9064-67 Ext. 231, 236
Email - For general BINC queries:binc.dbt@biotech.co.in
Helpline for Application submission related queries:binchelpdesk@biotech.co.in
Website: www.bcil.nic.in/BINC.html