BOL: Related items

Basics of BLAST Programs !

BioStar — Fri, 26 Jul 2024 06:04:26 -0500

The Basic Local Alignment Search Tool (BLAST) is a powerful bioinformatics program used to compare an input sequence (such as DNA, RNA, or protein sequences) against a database of sequences to find regions of similarity. Developed by the National Center for Biotechnology Information (NCBI), BLAST is widely used for identifying species, finding functional and evolutionary relationships between sequences, and predicting the function of novel sequences.

Key Features of BLAST:
1. Sequence Comparison: BLAST searches for local alignments between the query sequence and sequences in a database. It identifies regions of similarity, which can help infer functional and evolutionary relationships.

2. Speed and Efficiency: BLAST uses heuristic algorithms, making it faster than exhaustive search methods, suitable for large-scale database searches.

3. Versatility: There are several versions of BLAST for different types of sequence comparisons:
- blastn: Compares a nucleotide query sequence against a nucleotide sequence database.
- blastp: Compares a protein query sequence against a protein sequence database.
- blastx: Compares a nucleotide query sequence translated in all reading frames against a protein sequence database.
- tblastn: Compares a protein query sequence against a nucleotide sequence database translated in all reading frames.
- tblastx: Compares the six-frame translations of a nucleotide query sequence against the six-frame translations of a nucleotide sequence database.

4. Scoring and E-value: BLAST results are scored based on the quality and length of the alignments. The E-value (expect value) indicates the number of alignments one can expect to find by chance, with lower E-values representing more significant matches.

5. Output Formats: BLAST provides results in various formats, including plain text, HTML, XML, and JSON, making it adaptable for different types of analyses and integrations with other tools.

Applications of BLAST:
- Genomic Research: Identifying genes, understanding genetic diversity, and mapping genome sequences.
- Protein Function Prediction: Inferring the function of unknown proteins by comparing them to known protein sequences.
- Evolutionary Studies: Exploring evolutionary relationships between organisms by comparing their genetic material.
- Medical Research: Identifying pathogens, understanding disease mechanisms, and developing treatments by comparing sequences of interest.

Overall, BLAST is an essential tool in bioinformatics, offering a reliable and efficient way to analyze and interpret biological sequence data.

List of motif discovery tools !

Neel — Tue, 20 Nov 2018 03:54:26 -0600

In genetics, a sequence motif is a nucleotide or amino-acid sequence pattern that is widespread and has, or is conjectured to have, a biological significance. For proteins, a sequence motif is distinguished from a structural motif, a motif formed by the three-dimensional arrangement of amino acids which may not be adjacent.

Following are the list of tools for motif discovery:

2Dsweep -- protein annotation by secondary structure elements

Perform secondary structure predictions on protein sequences.

3D-footprint -- database of DNA-binding protein structures

Find binding specificity information about DNA-protein complexes.

3D-footprint: DNA-binding protein database

Find information about the binding specificity of DNA-binding proteins.

3D-partner -- a web server to infer interacting partners and binding models

Predict interacting partners and binding models.

3MOTIF -- a protein structure visualization system for conserved sequence motifs

Use this web-based sequence motif visualization system to display sequence motif information in its appropriate three-dimensional (3D) context.

AFAWE -- Automatic functional annotation in a distributed Web Services Environment

Protein function prediction and annotation in an integrated environment powered by web service.

ANCHOR -- Prediction of Protein Binding Regions in Disordered Proteins

Find information about protein binding.

ANNIE -- ANNotation and Interpretation Environment for Protein Sequences

Use to predict function from de novo protein sequences.

Active Sequences Collection (ASC) database -- A new tool to assign functions to protein sequences

Search for short active protein sequences with demonstrated biological activities.

Blocks -- Ungapped segments in conserved protein sequences

Search for ungapped segments corresponding to the most highly conserved regions of proteins.

CASTp -- computed atlas of surface topography of proteins with structural and topographical mapping of functionally annotated residues

Identify and measure surface accessible pockets as well as interior inaccessible cavities, for proteins and other molecules.

CSA -- The Catalytic Site Atlas

To search for catalytic residue annotation for enzymes in the Protein Data Bank.

ConFunc -- Conserved residue Protein Function Prediction Server

Predict protein function using Gene Ontology.

ConSurf-DB -- evolutionary conservation profiles of protein structures database

Automatically calculate evolutionary conservation scores of key amino acid residues and map them on protein structures.

DBAli -- A Database of Structure Alignments

Mine the protein structure space.

DILIMOT -- discovery of linear motifs in proteins

Predict short linear motifs (3-8 residues) in a set of protein sequences.

Dasty2 -- an Ajax protein DAS client

A web client for visualizing protein sequence feature information using DAS.

DomainSweep -- protein annotation by domain analysis

Identify the domain architecture within a protein sequence.

E1DS -- catalytic site prediction based on 1D signatures of concurrent conservation

Predict enzyme catalytic site.

ELM -- Eukarotic Linear Motif Resource

Predict functional sites in eukaryotic proteins.

EXPASY Proteome Tools Collection

Use a collection of tools for protein analyses.

EXPASY-Findmod

Predict potential protein post-translational modifications and find potential single amino acid substitutions in peptides.

EzCatDB -- the Enzyme Catalytic-mechanism Database

Search for information related to the catalytic mechanisms of enzymes.

FFPred -- feature-based function prediction

An integrated feature-based function prediction server for vertebrate proteomes.

FingerPRINT Scan

Identify the closest matching PRINTS sequence motif fingerprints in a protein sequence.

FireDB -- a database of functionally important residues from proteins of known structure

Search for functional annotation of important sites in proteins with known structures.

Frog2 -- a FRee Online druG 3D conformation generator

Produce 3D conformations of small drug compounds.

HGPD -- Human Gene and Protein Database

A database presenting experiment-based results in human proteomics.

HHsenser -- exhaustive transitive profile search using HMMx96HMM comparison

Conduct exhaustive intermediate profile searches of a set of homologous protein sequences.

HotSpot Wizard -- Substrate Specificity Hot Spot Identification web server

Design protein mutations in site-directed mutagenesis.

INTREPID -- INformation-theoretic TREe traversal for Protein functional site IDentification

Use for protein functional site identification.

Integrating protein annotation resources through the Distributed Annotation System

Annotate protein using this integrated annotation resource.

InterProScan -- protein domains identifier

Identify protein family (and DNA) domains, patterns, motifs, protein families, and functional sites.

KFC -- Knowledge-based FADE and Contacts

Interactive forecasting of protein interaction hot spots.

MAGIIC-PRO -- detecting functional signatures by efficient discovery of long patterns in protein sequences

Discover long patterns in protein sequences.

MALISAM -- Manual ALIgnments for Structurally Analogous Motifs

Database containing pairs of structural analogs and their alignments.

MEME -- discovering and analyzing DNA and protein sequence motifs

Find sequence patterns in DNA and protein sequences.

MODPROPEP -- a program for knowledge-based modeling of protein-peptide complexes

A web server for knowledge-based modeling of protein-peptide complexes, specifically peptides in complex with major histocompatibility complex (MHC) proteins and kinases.

MeMo -- a web tool for prediction of protein methylation modifications

Predict protein methylation sites.

MegaMotifBase -- a database of structural motifs in protein families and superfamilies

Find structural segments or motifs for protein structures.

Minimotif Miner -- a tool for investigating protein function

Find motifs in a protein sequence.

Motif3D -- Relating protein sequence motifs to 3D structure

Visualize protein sequence motifs on the 3D protein structures.

MotifScan

Find presence of any known protein motif (Prosite and Pfam) in a protein sequence.

MultiBind -- Multiple Alignment of Protein Binding Sites

Recognize spatial chemical binding patterns common to a set of protein structures.

NMT -- The MYR Predictor

Analyze proteins for the presence of N-terminal N-myristoylation site.

NetNGlyc -- N-Glycosylation sites prediction tool

Find the presence of N-Glycosylation sites in human proteins.

NetOGly 3.1 -- O-glycosylation sites prediction tool

Find the presence of O-GalNAc (mucin type) glycosylation sites in mammalian proteins.

NetPhos 2.0 -- Phosphorylation sites predictions

Analyze eukaryotic proteins for the presence of serine, threonine and tyrosine phosphorylation sites.

NetPhosK 1.0 Server -- kinase specific eukaryotic protein phosphorylation sites prediction tool

Find possible kinase specific phosphorylation sites in eukaryotic proteins.

NetworKIN -- a resource for exploring cellular phosphorylation networks

NeuroPred -- a tool to predict cleavage sites in neuropeptide precursors and provide the masses of the resulting peptides

Predict cleavage sites at basic amino acid locations in neuropeptide precursor sequences.

Non-Redundant Patent Sequences - Patented Sequence Database

Find information about patented nucleotide and protein sequences.

O-GLYCBASE

Search for information about glycoproteins with O-linked and C-linked glycosylation sites.

PANDORA -- Protein ANnotation Diagram ORiented Analysis

Find information about protein sequence annotations.

PAR-3D -- Protein Active site Residue - 3D structural motif

A server to predict protein active site residues.

PDBSite -- a database of the 3D structure of protein functional sites

Search for structural and functional information on the protein functional sites.

PDBSiteScan -- A program for searching for active, binding and posttranslational modification sites in the 3D structures of proteins

Search 3D protein fragments similar in structure to known active, binding and posttranslational modification sites.

PEDANT -- Protein Extraction, Description and ANalysis Tool

Conduct genome wide functional and structural analysis.

PHOSIDA -- Phosphorylation site database

Search for phosphorylation data of any protein of interest.

PHOSPHORYLATION SITE DATABASE

Search for information on prokaryotic proteins that undergo serine, threonine, or tyrosine phosphorylation.

PNU -- Protein Naming Utility

Determine correct names for proteins.

POODLE-S -- Predicition Of Order and Disorder by machine LEarning

Web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix.

PPISearch -- Protein-Protein Interaction Search

Find homologous protein-protein interactions across multiple species.

PPSearch

Search your query sequence against PROSITE pattern database for protein motifs.

PRIDB -- Protein-RNA Interface DataBase

Find information about protein-RNA complexes from the Protein Data Bank (PDB).

PRINTS and its automatic supplement, prePRINTS -- A compendium of protein fingerprints

Search for protein fingerprints.

PROSITE

Identify protein families and domains for a given protein sequence.

PRRDB -- Pattern Recognition Receptor Database

A comprehensive database of pattern-recognition receptors and their ligands.

PatMatch -- a program for finding patterns in peptide and nucleotide sequences

Search for short nucleotide or peptide sequences such as cis-elements in nucleotide sequences or small domains and motifs in protein sequences.

PepCyber:P~PEP -- a database of human protein protein interactions mediated by phosphoprotein-binding domains

Database specialized in documenting human PPBD-containing proteins and PPBD-mediated interactions.

PeptideCutter -- protein cleavage sites prediction tool

Predicts potential protease cleavage sites and sites cleaved by chemicals in a given protein sequence.

Phobius -- A combined transmembrane topology and signal peptide predictor

Predict combined transmembrane topology and signal peptides.

Phospho.ELM -- a database of phosphorylation sites

Search for eukaryotic phosphorylation sites.

Phospho3D -- a database of three-dimensional structures of protein phosphorylation sites

Search for 3D structure and functional annotation of phosphorylation sites in proteins.

PhosphoSite -- A bioinformatics resource dedicated to physiological protein phosphorylation.

Search the database of in vivo phosphorylation sites of human and mouse proteins

PolyQ -- Polyglutamine Database

Find information about polyglutamine (polyQ) repeats.

Pratt Protein motif and pattern discovery

Find the presence of protein motifs and patterns in an amino acid sequence.

PrediSi -- Prediction of Signal Peptides and their Cleavage Positions

Predict signal peptide sequences and their cleavage positions in bacterial and eukaryotic amino acid sequences.

ProFunc -- a server for predicting protein function from 3D structure

Predict protein functions based on known structures.

ProMateus--an open research approach to protein-binding sites analysis

Predict the location of potential protein-protein binding sites for unbound proteins.

ProTeus -- identifying signatures in protein termini

Identify short linear signatures in protein termini.

ProtSweep -- protein annotation by homology

Analyze and identify newly obtained protein sequences.

Protemot -- prediction of protein binding sites with automatically extracted geometrical templates

Predict protein binding sites in a protein sequence based on geometrical analysis of protein tertiary substructures.

QuasiMotiFinder -- protein annotation by searching for evolutionarily conserved motif-like patterns

Search for evolutionarily conserved motif-like patterns in protein sequences.

RNABindR -- software for prediction of RNA binding residues in proteins

Web-based server for analyzing and predicting RNA binding sites in proteins.

SCANMOT -- searching for similar sequences using a simultaneous scan of multiple sequence motifs

Search for similarities between proteins by simultaneous matching of multiple motifs.

SDPpred -- A Tool for Prediction of Amino Acid Residues that Determine Differences in Functional Specificity of Homologous Proteins

Predict residues in protein sequences that determine the proteins' functional specificity.

SDR -- Specificity Determining Residues Database

Predict specificity-determining residues in protein families.

SLiMDisc -- Short, Linear Motif Discovery

Find shared motifs in proteins with a common attribute.

SUMOsp -- a web server for sumoylation site prediction

Conduct in silico sumoylation sites prediction.

SWAKK -- a web server for detecting positive selection in proteins using a sliding window substitution rate analysis

Detect protein sequence section under positive evolution selection.

ScanProsite

Search for motifs and patterns within protein sequences.

ScanProsite -- detection of PROSITE signature matches and ProRule-associated functional and structural residues in proteins

Detect patterns, profiles and motifs in a protein sequence.

ScanSite 2.0 -- Proteome-wide prediction of cell signaling interactions using short sequence motifs

Search for motifs within proteins that are likely to be phosphorylated by specific protein kinases or bind to domains such as SH2 domains, 14-3-3 domains or PDZ domains.

SePreSA -- SErver for the PREdiction of populations susceptible to Serious Adverse drug reaction

Find information about populations carrying polymorphisms within protein binding pockets that make them susceptible to serious adverse drug reaction (SADR).

Sequence Motif Search

Search the presence of a motif in either amino acid sequence or nucleotide sequence.

Signal-3L -- A 3-layer approach for predicting signal peptides

Predict signal peptides.

SignalP -- Machine learning approaches to the prediction of signal peptides, their cleavage sites, and other protein sorting signals

Predict signal peptides and their cleavage sites.

Sulfinator -- tyrosine sulfation sites prediction tool

Predict the presence of tyrosine sulfation sites in protein sequences

SuperSite -- Ligand Binding Site Database

Look at protein structure from a ligand and binding site perspective.

Swiss EMBnet node web server

Use a collection of bioinformatics tools at this portal site.

T-REKS -- identification of Tandem REpeats in sequences with a K-meanS based algorithm

Find information about tandem repeats in proteins that carry fundamental biological functions and are related to a number of human diseases.

TMFunction -- The Functional Database of Membrane Proteins

Find information about functional residues in alpha-helical and beta-barrel membrane proteins.

TOPDOM -- Conservatively Located Domains and Motifs in Transmembrane Proteins

Database of domains and motifs with conservative location in transmembrane proteins.

The EMOTIF database

Search for highly conserved and specific protein sequence motifs.

TreeDet -- Predicting Functional Residues in Protein Sequence Alignments

Predict functional sites in protein sequence alignments use different methodologies.

W-ChIPMotifs -- ChIP-based protein Motif discovery web server

Find de novo protein motifs from chromatin immunoprecipitation data.

WebFEATURE -- an interactive web tool for identifying and visualizing functional sites on macromolecular structures

Scan query structures for functional sites in both proteins and nucleic acids.

WebProAnalyst -- an interactive tool for analysis of quantitative structurex96activity relationships in protein families

Analyze quantitative structure-activity relationship of related protein families.

eBLOCKs -- enumerating conserved protein blocks to achieve maximal sensitivity and specificity

Search for ungapped alignments of highly conserved regions among a protein family or superfamily.

eF-seek -- prediction of the functional sites of proteins by searching for similar electrostatic potential and molecular surface shape

Predict the functional sites of proteins.

firestar -- prediction of functionally important residues using structural templates and alignment reliability

An expert system for predicting ligand-binding residues in protein structures.

iMOTdb -- a comprehensive collection of spatially interacting motifs in proteins

Automatically identify spatially interacting motifs among distantly related proteins sharing similar folds and possessing common ancestral lineage.

Boku Chair of Bioinformatics

Sun, 14 Jul 2013 12:37:23 -0500

The Bioinformatics group at Boku University has two main areas of interest, underpinning a common goal, the study of complex systems in living organisms. To overcome the engineered redundancies and combinatorial effects prevalent in higher eukaryotes, novel views augmenting the classical gene by gene approaches are required. We combine
Work to establish improved quantitative experimental assays (such as microarrays or differential in-gel electrophoresis) and
Development of modern computational methods (such as hierarchical probabilistic models or integration of heterogeneous data sources)

Link @ http://bioinf.boku.ac.at/

List of gene ontology software and tools

Jit — Sun, 09 Mar 2014 14:48:19 -0500

The Gene Ontology (GO) is a set of associations from biological phrases to specific genes that are either chosen by trained curators or generated automatically. GO is designed to rigorously encapsulate the known relationships between biological terms and and all genes that are instances of these terms. These Gene Ontology has become an extremely useful tool for the analysis of genomic data and structuring of biological knowledge. Several excellent software tools for navigating the gene ontology have been developed.

The GO provides core biological knowledge representation for modern biologists, whether computationally or experimentally based. GO resources include biomedical ontologies that cover molecular domains of all life forms as well as extensive compilations of gene product annotations to these ontologies that provide largely species-neutral, comprehensive statements about what gene products do. Although extensively used in data analysis workflows, and widely incorporated into numerous data analysis platforms and applications, the general user of GO resources often misses fundamental distinctions about GO structures, GO annotations, and what can and can not be extrapolated from GO resources. Here are ten quick tips for using the Gene Ontology.

Read "Ten Quick Tips for Using the Gene Ontology" at http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003343

Following are the most commonly used old and new GO term enrichment determination tools. These tools are recommended to people working in a wet-lab.

CLASSIFI (Department of Pathology, UT Southwestern Medical Center)

CLASSIFI (Cluster Assignment for Biological Inference) is a data-mining tool that can be used to identify significant co-clustering of genes with similar functional properties (e.g. cellular response to DNA damage). Briefly, CLASSIFI uses the Gene OntologyTM (GO) gene annotation scheme to define the functional properties of all genes/probes in a microarray data set, and then applies a cumulative hypergeometric distribution analysis to determine if any statistically significant gene ontology co-clustering has occurred.

http://pathcuric1.swmed.edu/pathdb/classifi.html

EasyGO (China Agricultural University)

EasyGO is designed to automate enrichment job for experimental biologists to identify enriched Gene Ontology (GO) terms in a list of microarray probe sets or gene identifiers (with expression information for PAGE analysis). Also EasyGO is also a GO annotation database, especially focus on agronomical species, supporting 30 species. It is user friendly, with advanced result browsing format and in-time update.

http://bioinformatics.cau.edu.cn/neweasygo/

http://bioinformatics.cau.edu.cn/easygo/

g:GOSt (Institute of Computer Science, University of Tartu)

g:GOSt retrieves most significant Gene Ontology (GO) terms, KEGG and REACTOME pathways, and TRANSFAC motifs to a user-specified group of genes, proteins or microarray probes. g:GOSt also allows analysis of ranked or ordered lists of genes, visual browsing of GO graph structure, interactive visualisation of retrieved results, and many other features. Multiple testing corrections are applied to extract only statistically important results.

http://biit.cs.ut.ee/gprofiler/

DAVID : Gene Functional Classification (Laboratory of Immunopathogenesis and Bioinformatics, NIAID)

The Functional Classification Tool provides a rapid means to organize large lists of genes into functionally related groups to help unravel the biological content captured by high throughput technologies.

http://david.abcc.ncifcrf.gov/gene2gene.jsp

http://david.abcc.ncifcrf.gov/

API https://github.com/chrisamiller/davidapi

GOEAST (Institute of Genetics and Developmental Biology, Chinese Academy of Sciences)

GOEAST is web based software toolkit providing easy to use, visualizable, comprehensive and unbiased Gene Ontology (GO) analysis for high-throughput experimental results, especially for results from microarray hybridization experiments. The main function of GOEAST is to identify significantly enriched GO terms among give lists of genes using accurate statistical methods.

http://omicslab.genetics.ac.cn/GOEAST/

GOstat (Walter and Eliza Hall Institute of Medical Research)

Find statistically overrepresented GO terms within a group of genes

http://gostat.wehi.edu.au/

GOrilla (Technion - Laboratory of Computational Biology , Israel Institute of Technology)

GOrilla is a tool for identifying and visualizing enriched GO terms in ranked lists of genes.
It uses two approaches, first by searching for enriched GO terms that appear densely at the top of a ranked list of genes or by searching for enriched GO terms in a target list of genes compared to a background list of genes.

GOrilla makes nice pictures !!!!

http://cbl-gorilla.cs.technion.ac.il/

Gene Ontology for Functional Analysis (GOFFA)

GOFFA is a tool developed for ArrayTrack™ that takes a list of genes and identifies terms in Gene Ontology (GO) disclaimer icon associated with those genes.

It provides several tools to view/access the GO term hierarchy, full listing of GO terms annotated with the genes associated with a given term with statically useful report.

http://www.fda.gov/ScienceResearch/BioinformaticsTools/ucm233315.htm

GOAT (The University of Manchester)

The aim of the GOAT project is to create an application that will guide users, especially biomedical researchers, in the annotation of gene products with terms from the Gene Ontology.

http://goat.man.ac.uk/

Script https://github.com/tanghaibao/goatools/

REVIGO ( Rudjer Boskovic Institute, Croatia)

REViGO is a web server that can take long lists of Gene Ontology terms and summarize them by removing redundant GO terms. The remaining terms can be visualized in semantic similarity-based scatterplots, interactive graphs, or tag clouds.

http://revigo.irb.hr/

QuickGo (EMBL-EBI Institute)

It uses extensive computational filters to allow the generation of specific subsets of GO annotations, mapped to sequence identifiers of your choice. Then GO slims are used which is collective list of GO full set of terms available from the Gene Ontology project.

http://www.ebi.ac.uk/QuickGO/

GOLEM

An interactive graph-based gene-ontology navigation and analysis tool. GOLEM is a userful tool which allows the viewer to navigate and explore a local portion of the Gene Ontology (GO) hierarchy.

http://reducio.princeton.edu/GOLEM/

BGI Web Gene Ontology (WEGO) Annotation Plot (Beijing Genomics Institute)

WEGO () is a useful tool for plotting GO annotation results. It has been widely used in many important biological research projects, such as the rice genome project [Yu, J. et al. Science 296, 79-92 (2002); Yu, J. et al. PLoS Biol 3, e38 (2005)] and the silkworm genome project [Xia, Q. et al. Science 306, 1937-40 (2004)]. It has become one of the daily tools for downstream gene annotation analysis, especially when performing comparative genomics tasks. WEGO along with two other tools, namely External to GO Query and GO Archive Query, are freely available for all users. Any suggestions are welcome at wego@genomics.org.cn. Here is a sample output generated by WEGO

http://wego.genomics.org.cn/cgi-bin/wego/index.pl

GeneGO MetaCore (MIT)

GeneGo is a leading provider of data mining & analysis solutions in systems biology. MetaCore, GeneGo's flapship product, is an integrated software suite for functional analysis of experimental data. MetaCore is based on a curated database of human protein-protein, protein-DNA interactions, transcription factors, signaling and metabolic pathways, disease and toxicity, and the effects of bioactive molecules.

https://portal.genego.com/

GOEx (Stony Brook University)

GOEx facilitates organism-specific studies by leveraging GO and providing a rich graphical user interface. It is a simple to use tool, specialized for biologists who wish to analyze spectral counting data from shotgun proteomics.

http://pcarvalho.com/patternlab

GOssTo

GOssTo and GOssToWeb are tools to calculate the semantic similarity between genes or terms in the Gene Ontology.

http://www.paccanarolab.org/gosstoweb/

GO Workbench

The Gene Ontology Analysis Viewer allows direct browsing of the Gene Ontology, and also the visualization of GO Term analysis results.

http://wiki.c2b2.columbia.edu/workbench/index.php/Gene_Ontology_Viewer

Some other useful list of GO software and tools is available at http://www.geneontology.org/GO.tools.shtml#browser

Yet another useful webpage with list of GO tools at http://neurolex.org/wiki/Category:Resource:Gene_Ontology_Tools

RA at ALAGAPPA UNIVERSITY

Sun, 04 May 2014 23:33:15 -0500

DEPARTMENT OF BIOTECHNOLOGY
(UGC SAP and DST-FIST & PURSE Sponsored Department)
ALAGAPPA UNIVERSITY
(A State University Accredited by NAAC with „A‟ Grade)
Karaikudi - 630 004, India

WALK IN INTERVIEW

A walk-in Interview for the following position tenable at the Bioinformatics Infrastructure Facility (BIF), Department of Biotechnology, Alagappa University will be held at the Department of Biotechnology, Alagappa University, Karaikudi 630 003 on 15.05.2014 (Thursday) at 01:00 PM. This national facility is funded by the Department of Biotechnology, Ministry of Science and Technology, Government of India, New Delhi. The main objectives of the Centre involve teaching and research activities in bioinformatics/biotechnology.

RA (One Post):

Salary : Rs. 11000 p.m. plus admissible HRA

Qualification: M.Sc., in Bioinformatics/Biotechnology/Biophysics/Biochemistry/ Life Sciences

Interested candidates are encouraged to send their Curriculum Vitae by email to “sk_pandian@rediffmail.com” in advance. On the day of interview, the candidates must produce original certificates in proof of their educational qualification and experience and a recommendation letter from the Head of the Department/Institution where last studied/worked. Candidates who have already passed the required Degree alone are eligible to appear for interview. No TA&DA will be given for attending the interview.

Advertisement: http://www.alagappabiotech.org/Walk%20in%20interview.pdf

A comprehensive atlas of human gene activity released !!!

Abhimanyu Singh — Tue, 02 Sep 2014 14:20:24 -0500

A large international consortium of researchers has produced the first comprehensive, detailed map of the way genes work across the major cells and tissues of the human body. The findings describe the complex networks that govern gene activity, and the new information could play a crucial role in identifying the genes involved with disease.

We are able to pinpoint the regions of the genome that can be active in a disease and in normal activity, whether it’s in a brain cell, the skin, in blood stem cells or in hair follicles. This is a major advance that will greatly increase our ability to understand the causes of disease across the body.

The research is outlined in a series of papers published March 27, 2014, two in the journal Nature and 16 in other scholarly journals. The work is the result of years of concerted effort among 250 experts from more than 20 countries as part of FANTOM 5 (Functional Annotation of the Mammalian Genome). The FANTOM project, led by the Japanese institution RIKEN, is aimed at building a complete library of human genes.

Researchers studied human and mouse cells using a new technology called Cap Analysis of Gene Expression (CAGE), developed at RIKEN, to discover how 95% of all human genes are switched on and off. These “switches” — called “promoters” and “enhancers” — are the regions of DNA that manage gene activity. The researchers mapped the activity of 180,000 promoters and 44,000 enhancers across a wide range of human cell types and tissues and, in most cases, found they were linked with specific cell types.

Referene : www.kurzweilai.net/first-comprehensive-atlas-of-human-gene-activity-released

Manolis Kellis Lab

Sun, 31 Jan 2016 20:51:06 -0600

A major focus of our lab is understanding the effects of genetic variation on molecular phenotypes and human disease. We develop methods for integrating diverse functional genomic datasets of transcription, chromatin modifications, regulator binding, and their changes across multiple conditions to interpret genetic associations, identify causal variants, and predict the effects of genetic perturbations.

More at http://compbio.mit.edu

OrthoGNC: A Software for Accurate Identification of Orthologs Based on Gene Neighborhood Conservation

Jit — Tue, 14 Nov 2017 09:30:35 -0600

Orthology relations can be used to transfer annotations from one gene (or protein) to another. Hence, detecting orthology relations has become an important task in the post-genomic era. Various genomic events, such as duplication and horizontal gene transfer, can cause erroneous assignment of orthology relations. In closely-related species, gene neighborhood information can be used to resolve many ambiguities in orthology inference. Here we present OrthoGNC, a software for accurately predicting pairwise orthology relations based on gene neighborhood conservation. Analyses on simulated and real data reveal the high accuracy of OrthoGNC. In addition to orthology detection, OrthoGNC can be employed to investigate the conservation of genomic context among potential orthologs detected by other methods. OrthoGNC is freely available online at http://bs.ipm.ir/softwares/orthognc and http://tinyurl.com/orthoGNC.

http://www.comp.nus.edu.sg/~wongls/projects/orthoGNC/

Address of the bookmark: http://www.sciencedirect.com/science/article/pii/S1672022917301663

HGT-Finder: A New Tool for Horizontal Gene Transfer Finding and Application to Aspergillus genomes

Jit — Wed, 17 Jan 2018 05:03:19 -0600

HGT-Finder:

(i) can be used for HGT detection in both prokaryotes and eukaryotes,

(ii) can report a statistical P value for each gene to indicate how likely it is to be horizontally transferred, and

(iii) is fully automated (requires minimal human intervention), as well as very easy to install and run.

Address of the bookmark: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4626719/

BioGPS: Spotlight on the Gene Expression Atlas

Jit — Thu, 18 Oct 2018 12:15:12 -0500

BioGPS opened 2016 with a publication in Nucleic Acids Research, right after the New Year holiday. Throughout the year, new designs for the site were being created, reviewed, adjusted, reviewed, adjusted, and more review/adjustments in anticipation of a site redesign for 2017. A Plugin registration Blitz was held in March and April; followed by a Plugin Review Blitz in May. The BioGPS spotlight series was also restarted, with spotlights on BGEE, Intermine, and other Intermine-related plugins.

There were ~910,000 requests made to BioGPS in 2016. Requests to BioGPS peaked in March and at the lowest in December.

Address of the bookmark: http://biogps.org/