BOL: Related items

Ventoy: an open source tool to create bootable USB drive

LEGE — Tue, 29 Jun 2021 10:16:19 -0500

Ventoy is an open source tool to create bootable USB drive for ISO/WIM/IMG/VHD(x)/EFI files. With ventoy, you don't need to format the disk over and over, you just need to copy the image files to the USB drive and boot it. You can copy many image files at a time and ventoy will give you a boot menu to select them. x86 Legacy BIOS, IA32 UEFI, x86_64 UEFI, ARM64 UEFI and MIPS64EL UEFI are supported in the same way. Both MBR and GPT partition style are supported in the same way. Most type of OS supported(Windows/WinPE/Linux/Unix/Vmware/Xen...) 700+ ISO files are tested.

Address of the bookmark: https://github.com/ventoy/Ventoy

Open Positions in Pasini’s lab

Sat, 04 Feb 2017 08:17:18 -0600

Computational Biologists
Open to PhD-student and Post-doc candidates
We are looking for wet and computational biologists to work on an ERC funded project in our
laboratory located at the Department of Experimental Oncology of the European Institute of
Oncology in Milan (Italy). The project will focus on different aspects of the function of Polycomb
Group proteins and other chromatin modifying activities in relation to their role in regulating cellular
identity in the development of adult tissues.
The candidates will be in charge of computational analysis and data management related to the
project. She/he will directly interact with the wet scientists working in our laboratory while working
embedded in the community of computational biologists present at our institution. The work will
involve the analysis of sequencing data produced with cutting edge technologies to study gene
expression and chromatin environment including data produced on rare cell populations and single
cells. The applicants must have a good knowledge of programming in python/perl/java along with
strong statistical background and performing analysis in R platform. A biological background is
also recommended however it’s not mandatory for application.
Each applicant should submit a full CV (with a detailed description of her/his background,
expertise, achievements and publication records) together with a letter of intent and at least two
contacts for recommendations (for a post-doc position). Competitive salary will be offered based
on the experience of the candidate. Non Italian as well as Italian applicants that have been working
outside Italy (>3yrs.) will have the opportunity to benefit of a full tax deduction for the first three
years of contract.
Applications should be submitted as single PDF to diego.pasini@ieo.it

Lab https://www.ieo.it/en/RESEARCH/People/Researchers/Pasini-Diego/

HS3D: Homo Sapiens Splice Sites Dataset

Jit — Fri, 12 Jun 2020 12:33:17 -0500

HS3D (Homo Sapiens Splice Sites Dataset) is a data set of Homo Sapiens Exon, Intron and Splice regions extracted from GenBank Rel.123. The aim of this data set is to give standardized material to train and to assess the prediction accuracy of computational approaches for gene identification and characterization. From the complete GenBank (Primate Sequences Division) Rel.123 (162,557 entries), entries of Human Nuclear DNA including Complete CDS and more than one Exon have been selected, and 4523 exons and 3802 introns have been extracted from these entries. Details about extracted exons and introns are reported (Locus, number, Start and End position in the entry, sequence, length, G+C content, presence of not AGCT data (nucleotide scan check)). Statistics are also reported (overall nucleotides, average G+C content, nucleotide scan check results, number of not GT starting / AG ending introns, minimum / maximum / average length, length standard deviation) . 3799+3799 donor and acceptor sites, as windows of 140 nucleotides around each splice site have been extracted. After discarding sequences not including canonical GT–AG junctions (65+74), including insufficient data (not enough material for a 140 nucleotide window) (686+589), including not AGCT bases (29+30), and redundant (218+226) there are 2796+ 2880 windows.

1. P.Pollastro, S.Rampone (2002). HS3D, a Dataset of Homo Sapiens Splice Regions, and its Extraction Procedure from a Major Public Database , International Journal of Modern Physics C, 13(8), 1105-1117. (please cite this paper)

2. P.Pollastro, S.Rampone (2003). HS3D: Homo Sapiens Splice Site Data Set , Nucleic Acids Research, 2003 Annual Database Issue.

Address of the bookmark: http://www.sci.unisannio.it/docenti/rampone/

How Genes are Regulated: Transcription Factors

Thu, 05 Sep 2013 16:54:19 -0500

Each cell in our body inherits the same master copy of DNA, but different cell types use it differently. Transcription Factors help influence which genes are used in which cell. Understanding how these dynamic proteins physically interact with DNA allows us to better understand and model their binding to DNA and their regulation of gene expression. Scientific Direction by the Wasserman Lab at the University of British Columbia: http://www.cmmt.ubc.ca/research/investigators/wasserman/lab Animation and editing by Blair Lyons of Stroma Studios: http://www.stromastudios.com

MAGIC: A tool for predicting transcription factors and cofactors driving gene sets using ENCODE data

BioStar — Thu, 26 Nov 2020 11:05:04 -0600

The algorithm presented herein, Mining Algorithm for GenetIc Controllers (MAGIC), uses ENCODE ChIP-seq data to look for statistical enrichment of TFs and cofactors in gene bodies and flanking regions in gene lists without an a priori binary classification of genes as targets or non-targets. When compared to other TF mining resources, MAGIC displayed favourable performance in predicting TFs and cofactors that drive gene changes in 4 settings:

1) A cell line expressing or lacking single TF,

2) Breast tumors divided along PAM50 designations

3) Whole brain samples from WT mice or mice lacking a single TF in a particular neuronal subtype

4) Single cell RNAseq analysis of neurons divided by Immediate Early Gene expression levels.

In summary, MAGIC is a standalone application that produces meaningful predictions of TFs and cofactors in transcriptomic experiments.

More at https://uwmadison.app.box.com/s/8j90e5h2rjrsz3bacaxnq8kor2o64vyg

Address of the bookmark: https://github.com/asroopra/MAGIC

Look up a biological numbers

Jitendra Narayan — Fri, 23 Aug 2013 03:27:45 -0500

Did you ever need to look up a number like the volume of a cell or the cellular concentration of ATP, only to find yourself spending much more time than you wanted on the Internet or flipping through textbooks - all without much success?

Well, it didn’t happen only to you. It is often surprising how difficult it can be to find concrete biological numbers, even for properties that have been measured numerous times. To help solve this for one and all, BioNumbers (the database of key numbers in molecular biology) was created. Along with the numbers, you'll find the relevant references to the original literature, useful comments, and related numbers.

To cite BioNumbers please refer to: Milo et al. Nucl. Acids Res. (2010) 38: D750-D753. When using a specific entry from the database it is highly recommended that you also specify the BioNumbers 6 digit ID, e.g. "BNID 100986, Milo et al 2010".

Address of the bookmark: http://bionumbers.hms.harvard.edu/

HistoneDB 2.0 – with variants

Anjana — Fri, 03 Jun 2016 05:06:20 -0500

This histone database can be used to explore the diversity of histone proteins and their sequence variants in many organisms. The resource was established to better understand how sequence variation may affect functional and structural features of nucleosomes. To get started, select a histone type to explore its variants.

More at http://www.ncbi.nlm.nih.gov/projects/HistoneDB2.0/index.fcgi/browse/

Address of the bookmark: http://www.ncbi.nlm.nih.gov/projects/HistoneDB2.0/index.fcgi/browse/

GOLD:Genomes Online Database

Jit — Wed, 26 Jul 2017 07:49:29 -0500

GOLD:Genomes Online Database, is a World Wide Web resource for comprehensive access to information regarding genome and metagenome sequencing projects, and their associated metadata, around the world.

https://gold.jgi.doe.gov/

Address of the bookmark: https://gold.jgi.doe.gov/

HIV genome database !

Rahul Nayak — Fri, 21 Jan 2022 05:40:15 -0600

HIV resources

https://www.hiv.lanl.gov/components/sequence/HIV/search/search.html

Address of the bookmark: https://www.hiv.lanl.gov/components/sequence/HIV/search/search.html

Enzyme Portal

Rahul Agarwal — Tue, 03 Sep 2013 18:06:06 -0500

Enzyme Portal- To look for information about the biology of a protein with enzymatic activity.

The enzyme portal integrates many resources, most of them hosted by EBI and also external ones such as BioPortal. Its main goal is to provide information about enzymes in a suitable format, with a usable interface designed for intended users. Instead of reinventing the wheel, it makes use of available and reliable resources to that end.

Related Literature:

http://nar.oxfordjournals.org/content/41/D1/D773.full

http://www.biomedcentral.com/1471-2105/14/103

Address of the bookmark: http://www.ebi.ac.uk/enzymeportal/