Discover our new platform:
Learn more
Platforms
BBrowserX
Single-cell Analytics Platform
Talk2Data
Single-cell and Spatial Analytics Hub
BioTuring Lens
Spatial Omics Analytics Platform
BioStudio
All-in-one Bioinformatics Platform
SpatialX
Unified Multi-Technology Spatial Analysis Platform
Algorithms
Cell-type prediction
Automatic Cell Labeling Model
Alpha SC
Single-cell Algorithm Suite
Resources
About us
Who we are
Publications
BioTuring research and citations
Webinars
Insights from experts in the field
Tutorials
Documentation and videos
Blog
Insights, Guides, Bioinformatics Discussions
My request
Contact us
Sign in
Profile
Sign out
Contact us
Platforms
BBrowserX
Single-cell Analytics Platform
BioTuring Lens
Spatial Omics Analytics Platform
Talk2Data
Single-cell and Spatial Analytics Hub
BioStudio
All-in-one Bioinformatics Platform
SpatialX
Unified Multi-Technology Spatial Analysis Platform
Algorithms
Cell-type prediction
Automatic Cell Labeling Model
Alpha SC
Single-cell Algorithm Suite
Resources
About us
Who we are
Tutorials
Documentation and videos
Publications
BioTuring research and citations
Webinars
Insights from experts in the field
My request
Profile
Sign out
Sign in
Publications
BioTuring’s publications
Research with our products
Title
DOI
IC-VAE: A Novel Deep Learning Framework for Interpreting Multiplexed Tissue Imaging Data.
bioRxiv 2023.11.06.565771; doi: 10.1101/2023.11.06.565771v1
Venice: A New Algorithm for Finding Marker Genes in Single-Cell Transcriptomic Data
bioRxiv 2020.11.16.384479; doi: 10.1101/2020.11.16.384479v1
An Entropy Approach for Choosing Gene Expression Cutoff
bioRxiv 2022.05.05.490711; doi: 10.1101/2022.05.05.490711v1
Hera-T: an efficient and accurate approach for quantifying gene abundances from 10X-Chromium data with high rates of non-exonic reads
bioRxiv 530501; doi: 10.1101/530501
A revisit of RSEM generative model and its EM algorithm for quantifying transcript abundances
bioRxiv 503672; doi: 10.1101/503672
SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing
J Comput Biol 2012 May;19(5):455-77; doi: 10.1089/cmb.2012.0021
Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder
Nature. 2016 Feb 11;530(7589):242; doi: 10.1038/nature1618
Using single nuclei for RNA-seq to capture the transcriptome of postmortem neurons
Nat Protoc. 2016 Mar;11(3):499-524; doi: 10.1038/nprot.2016.015
Ragout—a reference-assisted assembly tool for bacterial genomes
Bioinformatics. 2014 Jun 15;30(12):i302-9; doi: 10.1093/bioinformatics/btu280
Sixteen diverse laboratory mouse reference genomes define strain-specific haplotypes and novel functional loci
Nat Genet. 2018 Nov;50(11):1574-1583; doi: 10.1038/s41588-018-0223-8
Sibelia: a scalable and comprehensive synteny block generation tool for closely related microbial genomes
Lecture Notes in Computer Science(), vol 8126. Springer, Berlin, Heidelberg; doi: 10.1007/978-3-642-40453-5_17
Paired de bruijn graphs: a novel approach for incorporating mate pair information into genome assemblers
J Comput Biol. 2011 Nov; 18(11): 1625–1634; doi: 10.1089/cmb.2011.0151
ExSPAnder: a universal repeat resolver for DNA fragment assembly
Bioinformatics, Volume 30, Issue 12, 15 June 2014, Pages i293–i301; doi: 10.1093/bioinformatics/btu266
DRIMM-Synteny: decomposing genomes into evolutionary conserved segments
Bioinformatics. 2010 Oct 15;26(20):2509-16. doi; doi: 10.1093/bioinformatics/btq465
Mitochondrial aging defects emerge in directly reprogrammed human neurons due to their metabolic profile
Cell Rep. 2018 May 29;23(9):2550-2558; doi: 10.1016/j.celrep.2018.04.105
Title
IC-VAE: A Novel Deep Learning Framework for Interpreting Multiplexed Tissue Imaging Data.
DOI
bioRxiv 2023.11.06.565771; doi: 10.1101/2023.11.06.565771v1
Title
Venice: A New Algorithm for Finding Marker Genes in Single-Cell Transcriptomic Data
DOI
bioRxiv 2020.11.16.384479; doi: 10.1101/2020.11.16.384479v1
Title
An Entropy Approach for Choosing Gene Expression Cutoff
DOI
bioRxiv 2022.05.05.490711; doi: 10.1101/2022.05.05.490711v1
Title
Hera-T: an efficient and accurate approach for quantifying gene abundances from 10X-Chromium data with high rates of non-exonic reads
DOI
bioRxiv 530501; doi: 10.1101/530501
Title
A revisit of RSEM generative model and its EM algorithm for quantifying transcript abundances
DOI
bioRxiv 503672; doi: 10.1101/503672
Title
SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing
DOI
J Comput Biol 2012 May;19(5):455-77; doi: 10.1089/cmb.2012.0021
Title
Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder
DOI
Nature. 2016 Feb 11;530(7589):242; doi: 10.1038/nature1618
Title
Using single nuclei for RNA-seq to capture the transcriptome of postmortem neurons
DOI
Nat Protoc. 2016 Mar;11(3):499-524; doi: 10.1038/nprot.2016.015
Title
Ragout—a reference-assisted assembly tool for bacterial genomes
DOI
Bioinformatics. 2014 Jun 15;30(12):i302-9; doi: 10.1093/bioinformatics/btu280
Title
Sixteen diverse laboratory mouse reference genomes define strain-specific haplotypes and novel functional loci
DOI
Nat Genet. 2018 Nov;50(11):1574-1583; doi: 10.1038/s41588-018-0223-8
Title
Sibelia: a scalable and comprehensive synteny block generation tool for closely related microbial genomes
DOI
Lecture Notes in Computer Science(), vol 8126. Springer, Berlin, Heidelberg; doi: 10.1007/978-3-642-40453-5_17
Title
Paired de bruijn graphs: a novel approach for incorporating mate pair information into genome assemblers
DOI
J Comput Biol. 2011 Nov; 18(11): 1625–1634; doi: 10.1089/cmb.2011.0151
Title
ExSPAnder: a universal repeat resolver for DNA fragment assembly
DOI
Bioinformatics, Volume 30, Issue 12, 15 June 2014, Pages i293–i301; doi: 10.1093/bioinformatics/btu266
Title
DRIMM-Synteny: decomposing genomes into evolutionary conserved segments
DOI
Bioinformatics. 2010 Oct 15;26(20):2509-16. doi; doi: 10.1093/bioinformatics/btq465
Title
Mitochondrial aging defects emerge in directly reprogrammed human neurons due to their metabolic profile
DOI
Cell Rep. 2018 May 29;23(9):2550-2558; doi: 10.1016/j.celrep.2018.04.105
Contact Us
Headquarter
4445 Eastgate Mall, Suite 200, San Diego,
California 92121, USA.
Email
support@bioturing.com
Follow Us
Twitter
Linkedin
Youtube
Home
BBrowserX
Talk2Data
BioTuring Lens
BioStudio
Legal Notices
Privacy Policy
Terms of Use
Resources
Publications
Webinars
Terms of Service Copyright © 2023 BioTuring, Inc.
Contact Us
Please fill in the form below, we will get back to you soon
Request type
*
Request a demo | free trial
Request information (product, data, pricing, etc.)
Have a representative contact me
First name
*
Last name
*
Work Email
*
A business/institutional email address is required
Company/Institution
*
Note
Submit
Need technical support for our platform? Send an email to
support@bioturing.com