Heu-MCHC 1.0.2 – Heuristic Algorithm for the Haplotype Inference problem on Pedigree data with recombinations and mutations

Heu-MCHC 1.0.2

:: DESCRIPTION

Heu-MCHC is a fast and accurate heuristic for the Minimum-Change Haplotype Configuration (MCHC) problem, i.e. a combinatorial formulation of the haplotype inference problem on pedigree data where the total number of recombinations and point mutations has to be minimized.

::DEVELOPER

AlgoLab

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux

:: DOWNLOAD

 Heu-MCHC 

:: MORE INFORMATION

Citation

Yuri Pirola, Paola Bonizzoni, and Tao Jiang.
An Efficient Algorithm for Haplotype Inference on Pedigrees with Recombinations and Mutations.
IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume: 9 , Issue: 1 Page(s): 12 – 25 (2011).

ENTPRISE / ENTPRISE-X – Predicting Human Disease-associated Amino Acid Mutations

ENTPRISE / ENTPRISE-X

:: DESCRIPTION

ENTPRISE is an algorithm for predicting human disease-associated amino acid mutations from sequence entropy and predicted protein structures

ENTPRISE-X is an algorithm for predicting human disease-associated frameshift & nonsense mutations.

::DEVELOPER

Center for the Study of Systems Biology

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

ENTPRISE: An Algorithm for Predicting Human Disease-Associated Amino Acid Substitutions from Sequence Entropy and Predicted Protein Structures.
Zhou H, Gao M, Skolnick J.
PLoS One. 2016 Mar 16;11(3):e0150965. doi: 10.1371/journal.pone.0150965.

Zhou H, Gao M, Skolnick J.
ENTPRISE-X: Predicting disease-associated frameshift and nonsense mutations.
PLoS One. 2018 May 3;13(5):e0196849. doi: 10.1371/journal.pone.0196849. PMID: 29723276; PMCID: PMC5933770.

DNMFilter 0.1.1 – De Novo Mutation Filter

DNMFilter 0.1.1

:: DESCRIPTION

DNMFilter is a machine learning based tool designed to filter out false positive de novo mutations (DNMs) obtained by any computational or manual approaches from next generation sequencing data.

::DEVELOPER

DNMFilter team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows / MacOsX
  • Java
  • Python

:: DOWNLOAD

 DNMFilter

:: MORE INFORMATION

Citation

Bioinformatics. 2014 Mar 27.
A gradient-boosting approach for filtering de novo mutations in parent-offspring trios.
Liu Y1, Li B, Tan R, Zhu X, Wang Y.

SAAMBE – Webserver to Predict the Charge of Binding Free Energy Caused by Amino Acids Mutations

SAAMBE

:: DESCRIPTION

SAAMBE (Single Amino Acid Mutation related change of Binding Energy) method addresses the demand for computational tools of predicting the effect of single amino acid substitution on the binding free energy of protein complexes. It is based on the fast (<< 1 minute) modified MM-PBSA protocol that is successfully tested and optimized for more than thousand experimental data points.

::DEVELOPER

Professor Emil Alexov Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

SAAMBE: Webserver to Predict the Charge of Binding Free Energy Caused by Amino Acids Mutations.
Petukh M, Dai L, Alexov E.
Int J Mol Sci. 2016 Apr 12;17(4). pii: E547.

SAAFEC-SEQ – Pedict the stability Changes upon a Single Mutation in Protein

SAAFEC-SEQ

:: DESCRIPTION

SAAFEC-SEQ is an online application for calculating folding free energy changes in proteins caused by missense mutations for provided protein sequence.

::DEVELOPER

Professor Emil Alexov Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

SAAFEC-SEQ

:: MORE INFORMATION

Citation

Li G, Panday SK, Alexov E.
SAAFEC-SEQ: A Sequence-Based Method for Predicting the Effect of Single Point Mutations on Protein Thermodynamic Stability.
Int J Mol Sci. 2021 Jan 9;22(2):606. doi: 10.3390/ijms22020606. PMID: 33435356; PMCID: PMC7827184.

SAAFEC: Predicting the Effect of Single Point Mutations on Protein Folding Free Energy Using a Knowledge-Modified MM/PBSA Approach.
Getov I, Petukh M, Alexov E.
Int J Mol Sci. 2016 Apr 7;17(4). pii: E512. doi: 10.3390/ijms17040512.

MonSTR 1.0.0 – Toolkit for Calling and analyzing de novo STR mutations

MonSTR 1.0.0

:: DESCRIPTION

MonSTR is a tool for calling de novo mutations from HipSTR or GangSTR VCF files.)

::DEVELOPER

Gymrek Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

MonSTR

:: MORE INFORMATION

Citation

Mitra I, Huang B, Mousavi N, Ma N, Lamkin M, Yanicky R, Shleizer-Burko S, Lohmueller KE, Gymrek M.
Patterns of de novo tandem repeat mutations and their role in autism.
Nature. 2021 Jan;589(7841):246-250. doi: 10.1038/s41586-020-03078-7. Epub 2021 Jan 13. PMID: 33442040; PMCID: PMC7810352.

Diamund – DIrect Alignment for MUtatioN Discovery

Diamund

:: DESCRIPTION

Diamund is a new, efficient algorithm for variant detection that compares DNA sequences directly to one another, without aligning them to the reference genome.

::DEVELOPER

The Center for Computational Biology at Johns Hopkins University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Mac OsX

:: DOWNLOAD

 Diamund

:: MORE INFORMATION

Citation

Hum Mutat. 2014 Mar;35(3):283-8. doi: 10.1002/humu.22503.
DIAMUND: direct comparison of genomes to detect mutations.
Salzberg SL, Pertea M, Fahrner JA, Sobreira N.

MEGA-V – Mutation Enrichment Gene set Analysis of Variants

MEGA-V

:: DESCRIPTION

MEGA-V is an open-source R application with a Shiny web interface. It identifies gene sets with a significantly higher number of variants in a cohort of interest (cohort A) as compared to (1) a control cohort (cohort B) or (2) a random distribution generated using Monte Carlo.

::DEVELOPER

the Ciccarelli Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/ Linux
  • R

:: DOWNLOAD

MEGA-V

:: MORE INFORMATION

Citation:

Gambardella G, Cereda M, Benedetti L, Ciccarelli FD.
MEGA-V: detection of variant gene sets in patient cohorts.
Bioinformatics. 2017 Apr 15;33(8):1248-1249. doi: 10.1093/bioinformatics/btw809. PMID: 28003259; PMCID: PMC5408849.

WExT – Weighted Exact Test for Mutually Exclusive Mutations in Cancer

WExT

:: DESCRIPTION

WExT (Weighted Exclusivity Test) is computes a statistical score for mutually exclusive mutations using per gene, per sample weights.

::DEVELOPER

Raphael Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

WExT

:: MORE INFORMATION

Citation:

Leiserson MD, Reyna MA, Raphael BJ.
A weighted exact test for mutually exclusive mutations in cancer.
Bioinformatics. 2016 Sep 1;32(17):i736-i745. doi: 10.1093/bioinformatics/btw462. PMID: 27587696; PMCID: PMC5013919.