BOL: Related items

BioContainers

Jit — Thu, 20 Feb 2020 05:29:46 -0600

BioContainers is a community-driven project that provides the infrastructure and basic guidelines to create, manage and distribute bioinformatics packages (e.g conda) and containers (e.g docker, singularity). BioContainers is based on the popular frameworks Conda, Docker and Singularity.

Address of the bookmark: https://biocontainers.pro/#/

Bioinformatics -- Understanding of living systems through information science

Wed, 14 Aug 2013 11:50:17 -0500

Recently, the progress of the Human Genome Project, aiming to decode all human DNA sequences, has highlighted a research field called bioinformatics. In this new field, computers and techniques from information science are not just used as tools to advance life science research; they're expected to have a major impact on how we think about the life sciences. Q. The main feature of bioinformatics is, it utilizes computers to analyze life. One is example is the genome. In all organisms, DNA contains genetic information, and this is called the genome. But the amount of information involved is huge, so recently, it's been read using next-generation sequencers, and analyzed by computers. In bioinformatics research, what we do is utilize those genome information to investigate the principles of life. As an organism evolves, its genome sequence changes through sudden mutations. Additionally, at the genome level, mutations called rearrangements, such as inversions, transpositions, and duplications, occur. The genome comparison system developed by the Sakakibara Lab calculates homologous sequences called anchors, which are conserved between species. If the genome is considered as a long text, then anchors can be thought of as words. Q. We're coming to understand the genomes of various organisms - not just humans, but monkeys, chimpanzees, bacteria, and so on. The first method used to analyze a genome is comparing it with the genomes of other organisms, to see where it's the same and where it's different. In that way, the content of the genome is decoded bit by bit, using computers. By contrast, in our method, we've developed software called Murasaki, which we also use to analyze large genomes, by comparing them with those of other organisms. The Sakakibara Lab uses a next-generation sequencer at Keio University, along with a cluster machine with hundreds of CPUs. In this way, the Lab is analyzing genome mutations that cause cancer, and the genome of the natto production strain Bacillus subtilis. Until now, genome analysis could only be done in national-scale projects. But now, next-generation sequencer development has made genome analysis possible in an ordinary lab. In a world-first achievement, the Sakakibara Lab has decoded the natto bacillus genome, through analysis using Keio's next-generation sequencer. Q. In the future, biology and the life sciences may become almost entirely information science and computer science. And in healthcare, that may enable us, for example, to predict whether individuals are susceptible to cancer, or to certain lifestyle-related diseases, by understanding their personal genome data. So, I think it's amply possible that we can make use of such information effectively, to help people live longer and be free from disease, by thinking about their lifestyle habits. Bioinformatics is only two decades old. In this field, many areas are still unknown. Professor Sakakibara, having been involved since the beginning, will continue tackling new, challenging research projects.

Frequent parameters for bioinformatics tools !

BioStar — Tue, 27 Oct 2020 19:42:32 -0500

Third party executable parameters and options.

Trimmomatic

“ILLUMINACLIP:...:2:30:10”

“LEADING:15”

“TRAILING:15”

“SLIDINGWINDOW:4:20”

“MINLEN:20”

“TOPHRED33”

Filtlong

--min_length 500

--min_mean_q 85

--min_window_q 65

FastQ Screen

--aligner bowtie2' (bwa for PacBio)

--subset 1000 (for PacBio)

SPAdes

--careful

--disable-gzip-output

--cov-cutoff auto

--phred-offset 33

HGAP

Pbalign.task_options.min_accuracy: 70

Pbalign.task_options.no_split_subreads: false

Genomic_consensus.task_options.min_confidence: 40

falcon_ns.task_options.HGAP_GenomeLength_str:

6000000

Pbcoretools.task_options.read_length: 0

Genomic_consensus.task_options.use_score: 0

Pbalign.task_options.min_length: 50

Pbalign.task_options.algorithm_options: --minMatch 12

--bestn 10 --minPctSimilarity 70.0

Pbalign.task_options.hit_policy: randombest

Pbcoretools.task_options.other_filters: rq >= 0.7

Pbalign.task_options.concordant: false

Genomic_consensus.task_options.min_coverage: 5

falcon_ns.task_options.HGAP_SeedCoverage_str: 30

falcon_ns.task_options.HGAP_AggressiveAsm_bool: false

Genomic_consensus.task_options.algorithm: best

falcon_ns.task_options.HGAP_SeedLengthCutoff_str: -1

Genomic_consensus.task_options.diploid: false

MeDuSa

-random 100

Prokka

--usegenus

--force

--addgenes

--rfam

--rawproduct

cmsearch (taxonomy, 16S)

--rfam

--noali

blastn (taxonomy, 16S)

-evalue 1E-10

blastn (MLST)

-ungapped

-dust no

-evalue 1E-20

-word_size 32

-culling_limit 2

-perc_identity 95

blastp (VF)

-culling_limit 2

RGI (ABR)

--input_type contig

bowtie2 (mapping)

--sensitive

minimap2 (mapping)

-a

-x map-ont

samtools mpileup (SNP detection)

-uRI

bcftools call (SNP detection)

--variants-only

--skip-variants indels

--output-type v

--ploidy 1

-c

SNPsift filter (SNP detection)

"( QUAL >= 30 ) & (( na FILTER ) | (FILTER = 'PASS')) &

( DP >= 20 ) & ( MQ >= 20 )"

SNPeff ann (SNP detection)

-nodownload

-no-intron

-no-downstream

-no SPLICE_SITE_REGION

-upDownStreamLen 250

bcftools consensus

(phylogenetic tree)

--haplotype 1

fasttreemp

-nt

-boot 100

roary

-e

-n

-cd 100

-g 100000

Bioinformatics Infrastructure Facility

Sun, 15 Sep 2013 09:22:25 -0500

The Bioinformatics Infrastructure Facility has started working in the year 2007 at Presidency College, Kolkata. It is one of the premier institutes of India and boasts of a rich heritage and great alumni. The Infrastructure Facility has a dedicated team headed by Sayak Ganguli and ably supported by Priayanka Dhar. The coordinator of the facility is Abhijit Datta of the Post Graduate Department of Botany. The lab mainly focusses on the analysis of the RNA Induced Silencing Complex. Recent highlights include the presentation of a paper at the RNAi World Congress.

More @ http://bioinfo-presiuniv.edu.in/index.php

Common Bioinformatics Interview Questions !

Jit — Sat, 23 Jan 2021 06:07:50 -0600

The possibility of an interview for a bioinformatics position in the life sciences may be very disquieting, but the same concerns emerge time and again in my experience. So, it is exceedingly worthwhile to plan for future bioinformatics interview questions. Doing this will really give you the advantage in obtaining the position.

The following 5 questions are those that I have heard many times during the job-search process. There is no reason for not planning responses in such situations.

1. Tell Us About Yourself
This is a very typical opener in interviews. It's a perfect question to ask, and getting something planned will really help you concentrate and ease in the conversation. However, you need to make sure that your response is applicable to the job you're interviewing.
It's probably better to keep your answer professional. Try to include these in the answer as well: where did your love of science and bioinformatics come from? How the heck did you end up in this field? Why programming and scripting ?

2. What is your plan for your bioinformatics career? / How do you look at yourself in five years? / How are your personal objectives to accomplish these goals / What are the plan for your research fundings ?

Your CV/resume has already impressed the selection panel if you have been invited for an interview. The questions from the bioinformatics interview team provide an incentive for you to market yourself and illustrate the work in question with the most appropriate knowledge.

3. What do you understand about the job description/What would your suggested research path be if you were a successful candidate?
Summarize the specifics of the advertised bioinformatics position in your own words. Follow on with some suggestions of how you want to extend your research and create your own projects within the community.

4. Will you work as a group or do you want to work on your own?
This requirement can vary from jobs to job, so when addressing, be alert. A company/research PI may need a bioinformatician that is able to work on a single project autonomously, or they may need a person who can help direct and organize a team. In your response, refer to the job description.

5. What particular methods have you used to date with your experiments?
You might have experience with all the laboratory techniques described in the job description, but stress the ones you highly experienced with. Highlight your professional abilities and stress that you are extremely capable of mastering new techniques with others ...

At the end of the day, remember that you're questioning the jury as well as they're interviewing you. You will ought to think of any questions you would like the interview panel to pose. This indicates that you have done your homework and serious about the position.

All the best for your future job interview.

PLOS Computational Biology: Translational Bioinformatics educational resources

Jitendra Narayan — Fri, 16 Aug 2013 12:24:56 -0500

PLOS present collection of Education articles: “Translational Bioinformatics”. This collection is presented as an online “book” which could serve as a reference tool for a graduate level introductory course, marking a step in an exciting new direction for the Education section of the journal.

Blog : http://blogs.plos.org/biologue/2012/12/28/translational-bioinformatics-plos-computational-biology-presents-an-educational-resource-for-an-emerging-field/

Educational Material : http://www.ploscollections.org/article/browseIssue.action?issue=info:doi/10.1371/issue.pcol.v03.i11

Address of the bookmark: http://www.ploscollections.org/article/browseIssue.action?issue=info:doi/10.1371/issue.pcol.v03.i11

Kanthida Lab !

Wed, 28 Apr 2021 02:27:22 -0500

Research Interest:

Bioinformatics

High-throughput and high-dimensional data analysis

Microbiome data analysis (Main focus)

Next-generation and third-generation sequencing data analysis for genomics

Gene expression data analysis

Machine learning for biological data

Biomarkers identification

Database and web-application for biological data

More at
https://sites.google.com/mail.kmutt.ac.th/kanthida-k/home?authuser=0

Translational Bioinformatics: Transforming 300 Billion Points of Data

Tue, 20 Aug 2013 19:03:47 -0500

Translational Bioinformatics: Transforming 300 Billion Points of Data into Diagnostics, Therapeutics, and New Insights into Disease Air date: Wednesday, June 20, 2012, 3:00:00 PM Time displayed is Eastern Time, Washington DC Local Description: There is an urgent need to translate genome-era discoveries into clinical utility, but the difficulties in making bench-to-bedside translations haven't been well described. The nascent field of translational bioinformatics may help. Dr. Butte's lab at Stanford University builds and applies tools that convert more than 300 billion points of molecular, clinical, and epidemiological data (measured by researchers and clinicians over the past decade) into diagnostics, therapeutics, and new insights into disease. Dr. Butte, a bioinformatician and pediatric endocrinologist, will highlight his lab's work on using publicly available molecular measurements to find new uses for drugs, discovering new treatable mechanisms of disease in type 2 diabetes, and evaluating patients presenting with whole genomes sequenced. The NIH Wednesday Afternoon Lecture Series includes weekly scientific talks by some of the top researchers in the biomedical sciences worldwide. For more information, visit: The NIH Director's Wednesday Afternoon Lecture Series Author: Atul Butte, M.D., Ph.D., Stanford University Runtime: 01:07:42 Permanent link: http://videocast.nih.gov/launch.asp?17321

biostarhandbook

Neel — Fri, 27 Aug 2021 01:31:01 -0500

Nice book collection for bioinformatician ... highly recommended.

Address of the bookmark: https://www.biostarhandbook.com/

Bioinformatician Dreams

Jitendra Narayan — Wed, 21 Aug 2013 10:50:45 -0500

Bioinformatician life is interconnected, they always dream for a powerful server, little more space on server as they are generating lots of data per run, dream to publish results in good impact journals, meetings reminders :) and research analysis off course!!!